Lithium-Ion Battery Storage for the Grid—A Review of Stationary Battery Storage System Design Tailored for Applications in Modern Power Grids

Dincer, 2000, Renewable energy and sustainable development: A crucial review, Renew. Sustain. Energy Rev., 4, 157, 10.1016/S1364-0321(99)00011-8

REN21 Secretariat (2017). Renewables 2017: Global Status Report, REN21 Secretariat.

Carrasco, 2006, Power-Electronic Systems for the Grid Integration of Renewable Energy Sources: A Survey, IEEE Trans. Ind. Electron., 53, 1002, 10.1109/TIE.2006.878356

Chen, 2009, Progress in electrical energy storage system: A critical review, Prog. Nat. Sci., 19, 291, 10.1016/j.pnsc.2008.07.014

Dunn, 2011, Electrical Energy Storage for the Grid: A Battery of Choices, Science, 334, 928, 10.1126/science.1212741

Luo, 2015, Overview of current development in electrical energy storage technologies and the application potential in power system operation, Appl. Energy, 137, 511, 10.1016/j.apenergy.2014.09.081

Vazquez, 2010, Energy Storage Systems for Transport and Grid Applications, IEEE Trans. Ind. Electron., 57, 3881, 10.1109/TIE.2010.2076414

Ferreira, 2013, Characterisation of electrical energy storage technologies, Energy, 53, 288, 10.1016/j.energy.2013.02.037

IRENA (2017). Electricity Storage and Renewables: Costs and Markets to 2030: International Renewable Energy Agency, IRENA.

Weitzel, 2018, Energy Management for Stationary Electric Energy Storage Systems: A Systematic Literature Review, Eur. J. Oper. Res., 264, 582, 10.1016/j.ejor.2017.06.052

Nykvist, 2015, Rapidly falling costs of battery packs for electric vehicles, Nat. Clim. Chang., 5, 329, 10.1038/nclimate2564

Schmidt, 2017, The future cost of electrical energy storage based on experience rates, Nat. Energy, 6, 17110, 10.1038/nenergy.2017.110

Truong, C.N., Naumann, M., Karl, R.C., Müller, M., Jossen, A., and Hesse, H.C. (2016). Economics of Residential Photovoltaic Battery Systems in Germany: The Case of Teslas Powerwall. Batteries, 2.

Naumann, M., Karl, R.C., Truong, C.N., Jossen, A., and Hesse, H.C. (2015, January 9–11). Lithium-ion Battery Cost Analysis in PV-household Application. Proceedings of the 9th International Renewable Energy Storage Conference (IRES 2015), Düsseldorf, Germany.

Branker, 2011, A review of solar photovoltaic levelized cost of electricity, Renew. Sustain. Energy Rev., 15, 4470, 10.1016/j.rser.2011.07.104

Battke, 2013, A review and probabilistic model of lifecycle costs of stationary batteries in multiple applications, Renew. Sustain. Energy Rev., 25, 240, 10.1016/j.rser.2013.04.023

Rathgeber, 2015, Economic top–down evaluation of the costs of energy storages—A simple economic truth in two equations, J. Energy Storage, 2, 43, 10.1016/j.est.2015.06.001

Howells, 2011, OSeMOSYS: The Open Source Energy Modeling System: An introduction to its ethos, structure and development, Sustain. Biofuels, 39, 5850

Daniel, C., and Besenhard, J.O. (2012). Handbook of Battery Materials, Wiley. [2nd ed.].

Yoshio, M., Brodd, R.J., and Kozawa, A. (2009). Lithium-Ion Batteries, Springer.

Salminen, 2012, Lithium ion battery production, J. Chem. Thermodyn., 46, 80, 10.1016/j.jct.2011.09.005

Nitta, 2015, Li-ion battery materials: Present and future, Mater. Today, 18, 252, 10.1016/j.mattod.2014.10.040

Franco, A.A., Doublet, M.L., and Bessler, W.G. (2016). Mathematical Modeling of Aging of Li-Ion Batteries. Physical Multiscale Modeling and Numerical Simulation of Electrochemical Devices for Energy Conversion and Storage, Springer. Green Energy and Technology.

Han, 2014, A comparative study of commercial lithium ion battery cycle life in electric vehicle: Capacity loss estimation, J. Power Sources, 268, 658, 10.1016/j.jpowsour.2014.06.111

Patry, 2015, Cost modeling of lithium-ion battery cells for automotive applications, Energy Sci. Eng., 3, 71, 10.1002/ese3.47

Zaghib, 2011, Safe and fast-charging Li-ion battery with long shelf life for power applications, J. Power Sources, 196, 3949, 10.1016/j.jpowsour.2010.11.093

Warner, J. (2015). The Handbook of Lithium-Ion Battery Pack Design: Chemistry, Components, Types and Terminology, Elsevier.

Burke, A., and Miller, M. (2009, January 13–16). Performance characteristics of lithium-ion batteries of various chemistries for plug-in hybrid vehicles. Proceedings of the International Battery, Hybrid and Fuel Cell Electric Vehicle Symposium (EVS24), Stavanger, Norway.

Julien, C., Mauger, A., Vijh, A., and Zaghib, K. (2016). Lithium Batteries: Science and Technology, Springer.

Keil, 2016, Calendar Aging of Lithium-Ion Batteries, J. Electrochem. Soc., 163, A1872, 10.1149/2.0411609jes

Samsung SDI (2017). Basic Specification of 94 Ah Lithium-Ion Battery Cell, Samsung SDI.

Panasonic (2017). Data Sheet NCR18650B Lithium-Ion Battery Cell, Panasonic.

Murata (2017). Data Sheet of Sony Fortelion US26650FTC1 Battery Cell, Murata.

Toshiba Industrial Systems (2017). Data sheet of Toshiba 20Ah SCiB Rechargable Battery Cell, Toshiba Industrial Systems.

Akinyele, D., Belikov, J., and Levron, Y. (2017). Battery Storage Technologies for Electrical Applications: Impact in Stand-Alone Photovoltaic Systems. Energies, 10.

Xu, 2017, A review of Ni-based layered oxides for rechargeable Li-ion batteries, J. Mater. Chem. A, 5, 874, 10.1039/C6TA07991A

Liu, 2015, Nickel-Rich Layered Lithium Transition-Metal Oxide for High-Energy Lithium-Ion Batteries, Angew. Chem. Int. Ed., 54, 4440, 10.1002/anie.201409262

Jaffe, S., and Adamson, K.A. (2014). Advanced batteries for utility-scale energy storage lithium ion, sodium metal halide, sodium sulfur, flow, advanced lead-acid, and other advanced batteries: Global market analysis and forecasts. Rep. Navig. Res., Available online: http://www.navigantresearch.com/wp-content/uploads/2012/07/ABES-12-Brochure.pdf.

Scrosati, 2010, Lithium batteries: Status, prospects and future, J. Power Sources, 195, 2419, 10.1016/j.jpowsour.2009.11.048

Li, 2013, A comparative study of state of charge estimation algorithms for LiFePO4 batteries used in electric vehicles, J. Power Sources, 230, 244, 10.1016/j.jpowsour.2012.12.057

Naumann, M., Schimpe, M., Keil, P., Jossen, A., and Hesse, H.C. (2017). Analysis and modeling of calendar aging of a commercial LiFePO4/graphite cell. J. Energy Storage, submitted.

Hesse, H., Martins, R., Musilek, P., Naumann, M., Truong, C., and Jossen, A. (2017). Economic Optimization of Component Sizing for Residential Battery Storage Systems. Energies, 10.

Berecibar, 2016, Realistic lifetime prediction approach for Li-ion batteries, Appl. Energy, 162, 839, 10.1016/j.apenergy.2015.10.115

Deguilhem, 2013, A review on lithium-ion battery ageing mechanisms and estimations for automotive applications, J. Power Sources, 241, 680, 10.1016/j.jpowsour.2013.05.040

Vetter, 2005, Ageing mechanisms in lithium-ion batteries, J. Power Sources, 147, 269, 10.1016/j.jpowsour.2005.01.006

Arora, 1998, Capacity fade mechanisms and side reactions in lithium–ion batteries, J. Electrochem. Soc., 145, 3647, 10.1149/1.1838857

Wang, 2014, Degradation of lithium ion batteries employing graphite negatives and nickel–cobalt–manganese oxide + spinel manganese oxide positives: Part 1, aging mechanisms and life estimation, J. Power Sources, 269, 937, 10.1016/j.jpowsour.2014.07.030

Ecker, 2012, Development of a lifetime prediction model for lithium-ion batteries based on extended accelerated aging test data, J. Power Sources, 215, 248, 10.1016/j.jpowsour.2012.05.012

Smith, K., Saxon, A., Keyser, M., Lundstrom, B., Cao, Z., and Roc, A. (2017, January 24–26). Life prediction model for grid-connected Li-ion battery energy storage system. Proceedings of the IEEE 2017 American Control Conference (ACC), Seattle, WA, USA.

Santhanagopalan, S., Smith, K., Neubauer, J., Kim, G.H., Pesaran, A., and Keyser, M. (2014). Design and Analysis of Large Lithium-Ion Battery Systems, Artech House.

Yang, 2017, Modeling of lithium plating induced aging of lithium-ion batteries: Transition from linear to nonlinear aging, J. Power Sources, 360, 28, 10.1016/j.jpowsour.2017.05.110

Kindermann, 2017, A SEI Modeling Approach Distinguishing between Capacity and Power Fade, J. Electrochem. Soc., 164, E287, 10.1149/2.0321712jes

Safari, 2009, Multimodal physics-based aging model for life prediction of Li-ion batteries, J. Electrochem. Soc., 156, A145, 10.1149/1.3043429

Patsios, 2016, An integrated approach for the analysis and control of grid connected energy storage systems, J. Energy Storage, 5, 48, 10.1016/j.est.2015.11.011

Namor, 2017, Parameter identification of a lithium-ion cell single-particle model through non-invasive testing, J. Energy Storage, 12, 138, 10.1016/j.est.2017.04.008

You, 2016, Real-time state-of-health estimation for electric vehicle batteries: A data-driven approach, Appl. Energy, 176, 92, 10.1016/j.apenergy.2016.05.051

Dubarry, 2009, From single cell model to battery pack simulation for Li-ion batteries, J. Power Sources, 186, 500, 10.1016/j.jpowsour.2008.10.051

Ramadass, 2003, Mathematical modeling of the capacity fade of Li-ion cells, J. Power Sources, 123, 230, 10.1016/S0378-7753(03)00531-7

Schmalstieg, 2014, A holistic aging model for Li(NiMnCo)O2 based 18650 lithium-ion batteries, J. Power Sources, 257, 325, 10.1016/j.jpowsour.2014.02.012

Eddahech, 2015, Performance comparison of four lithium–ion battery technologies under calendar aging, Energy, 84, 542, 10.1016/j.energy.2015.03.019

Ecker, 2014, Calendar and cycle life study of Li(NiMnCo)O2-based 18650 lithium-ion batteries, J. Power Sources, 248, 839, 10.1016/j.jpowsour.2013.09.143

Sauer, 2008, Comparison of different approaches for lifetime prediction of electrochemical systems—Using lead-acid batteries as example, J. Power Sources, 176, 534, 10.1016/j.jpowsour.2007.08.057

Safari, 2010, Life Prediction Methods for Lithium-Ion Batteries Derived from a Fatigue Approach, J. Electrochem. Soc., 157, A892, 10.1149/1.3432560

Zinth, 2014, Lithium plating in lithium-ion batteries at sub-ambient temperatures investigated by in situ neutron diffraction, J. Power Sources, 271, 152, 10.1016/j.jpowsour.2014.07.168

Waldmann, 2014, Temperature dependent ageing mechanisms in Lithium-ion batteries—A Post-Mortem study, J. Power Sources, 262, 129, 10.1016/j.jpowsour.2014.03.112

Wang, 2011, Cycle-life model for graphite-LiFePO4 cells, J. Power Sources, 196, 3942, 10.1016/j.jpowsour.2010.11.134

Dubarry, 2011, Identifying battery aging mechanisms in large format Li ion cells, J. Power Sources, 196, 3420, 10.1016/j.jpowsour.2010.07.029

Keil, 2016, Charging protocols for lithium-ion batteries and their impact on cycle life—An experimental study with different 18650 high-power cells, J. Energy Storage, 6, 125, 10.1016/j.est.2016.02.005

Gandiaga, 2014, Calendar ageing analysis of a LiFePO4/graphite cell with dynamic model validations: Towards realistic lifetime predictions, J. Power Sources, 272, 45, 10.1016/j.jpowsour.2014.08.051

Schimpe, M. (2017). Comprehensive Modeling of Temperature-Dependent Degradation Mechanisms in Lithium Iron Phosphate Batteries. J. Electrochem. Soc., 164, accepted.

Zaghib, 1999, Electrochemical study of Li4Ti5O12 as negative electrode for Li-ion polymer rechargeable batteries, J. Power Sources, 81, 300, 10.1016/S0378-7753(99)00209-8

Choi, 2016, Promise and reality of post-lithium-ion batteries with high energy densities, Nat. Rev. Mater., 1, 16013, 10.1038/natrevmats.2016.13

Andrea, D. (2010). Battery Management Systems for Large Lithium-Ion Battery Packs, Artech House.

Zhang, 2010, Modeling Discharge Behavior of Multicell Battery, IEEE Trans. Energy Convers., 25, 1133, 10.1109/TEC.2010.2048904

Baggu, M., Smith, K., Friedl, A., Bialek, T., and Schimpe, M. (2017, January 16–20). Performance and Health Test Procedure for Grid Energy Storage Systems. Proceedings of the IEEE Power and Energy Society (PES) General Meeting, Chicago, IL, USA.

Lu, 2013, A review on the key issues for lithium-ion battery management in electric vehicles, J. Power Sources, 226, 272, 10.1016/j.jpowsour.2012.10.060

Lawder, 2014, Battery Energy Storage System (BESS) and Battery Management System (BMS) for Grid-Scale Applications, Proc. IEEE, 102, 1014, 10.1109/JPROC.2014.2317451

Yang, 2016, Unbalanced discharging and aging due to temperature differences among the cells in a lithium-ion battery pack with parallel combination, J. Power Sources, 306, 733, 10.1016/j.jpowsour.2015.12.079

Rao, 2011, A review of power battery thermal energy management, Renew. Sustain. Energy Rev., 15, 4554, 10.1016/j.rser.2011.07.096

Khateeb, 2005, Thermal management of Li-ion battery with phase change material for electric scooters: Experimental validation, J. Power Sources, 142, 345, 10.1016/j.jpowsour.2004.09.033

Huber, C. (2017). Phase Change Material in Battery Thermal Management Applications. [Ph.D. Thesis, Technical University of Munich].

Fuhs, M. (2017, November 16). Market Survey of Battery Home Storage Systems. Available online: www.pv-magazine.de/themen/batteriespeicher/.

Schimpe, M. (2018). Energy efficiency evaluation of grid connection topologies for stationary battery storage systems, Unpublished work.

Swissgrid Ltd. Grid—Transmission System—Grid Levels: Various Grid Levels Transport Electricity, Swissgrid Ltd.. Available online: https://www.swissgrid.ch/swissgrid/en/home/grid/transmission_system/grid_levels.html.

Viernstein, 2017, Evaluation of grid-level adaptability for stationary battery energy storage system applications in Europe, J. Energy Storage, 9, 1, 10.1016/j.est.2016.11.005

Huff, G. (2017, November 16). DOE Global Energy Storage Database. Available online: https://www.energystorageexchange.org/.

Klein, 2017, Current Distribution Measurements in Parallel-Connected Lithium-Ion Cylindrical Cells under Non-Uniform Temperature Conditions, J. Electrochem. Soc., 164, A1893, 10.1149/2.0011709jes

Pires, 2014, Power converter interfaces for electrochemical energy storage systems—A review, Energy Convers. Manag., 86, 453, 10.1016/j.enconman.2014.05.003

Chatzinikolaou, 2017, A Comparison of Grid-Connected Battery Energy Storage System Designs, IEEE Trans. Power Electron., 32, 6913, 10.1109/TPEL.2016.2629020

Bragard, 2010, The Balance of Renewable Sources and User Demands in Grids: Power Electronics for Modular Battery Energy Storage Systems, IEEE Trans. Power Electron., 25, 3049, 10.1109/TPEL.2010.2085455

Siemens AG (2015). Sinamics S120 Grid Infeed Manual, Siemens AG.

Bonfiglioli (2010). Product Description RPS, Bonfiglioli.

Schimpe, 2018, Energy efficiency evaluation of a stationary lithium-ion battery container storage system via electro-thermal modeling and detailed component analysis, Appl. Energy, 210, 211, 10.1016/j.apenergy.2017.10.129

(2017, November 16). Energy Neighbor, Technical University of Munich. Available online: https://www.energyneighbor.de/en/energy-neighbor.html.

Neubauer, J., Pesaran, A., Coleman, D., and Chen, D. (2013, January 20–23). Analyzing the Effects of Climate and Thermal Configuration on Community Energy Storage Systems. Proceedings of the Electrical Energy Storage Applications and Technologies (EESAT) Conference, San Diego, CA, USA.

Neubauer, J. (2017, November 16). Battery Lifetime Analysis and Simulation Tool (BLAST), Available online: www.nrel.gov/transportation/blast.html.

Gatta, F.M., Geri, A., Lauria, S., Maccioni, M., and Palone, F. (July, January 29). Battery energy storage efficiency calculation including auxiliary losses: Technology comparison and operating strategies. Proceedings of the 2015 IEEE Eindhoven PowerTech, Eindhoven, The Netherlands.

Gatta, F.M., Geri, A., Lamedica, R., Lauria, S., Maccioni, M., Palone, F., Rebolini, M., and Ruvio, A. (2016). Application of a LiFePO4 Battery Energy Storage System to Primary Frequency Control: Simulations and Experimental Results. Energies, 9.

Rydh, 2005, Energy analysis of batteries in photovoltaic systems. Part I: Performance and energy requirements, Energy Convers. Manag., 46, 1957, 10.1016/j.enconman.2004.10.003

Rydh, 2005, Energy analysis of batteries in photovoltaic systems. Part II: Energy return factors and overall battery efficiencies, Energy Convers. Manag., 46, 1980, 10.1016/j.enconman.2004.10.004

Magnor, D., Soltau, N., Bragard, M., Schmiegel, A., de Doncker, R.W., and Sauer, D.U. (2010, January 6–10). Analysis of the model dynamics for the battery and battery converter in a grid-connected 5 kW photovoltaic system. Proceedings of the 25th European Photovoltaic Solar Energy Conference (PVSEC), Valencia, Spain.

Chatzinikolaou, 2016, Cell SoC Balancing Using a Cascaded Full-Bridge Multilevel Converter in Battery Energy Storage Systems, IEEE Trans. Ind. Electron., 63, 5394, 10.1109/TIE.2016.2565463

Ota, 2016, Enhancement of Performance, Availability, and Flexibility of a Battery Energy Storage System Based on a Modular Multilevel Cascaded Converter (MMCC-SSBC), IEEE Trans. Power Electron., 31, 2791, 10.1109/TPEL.2015.2450757

Bray, K.L., Conover, D.R., Kintner-Meyer, M.C.W., Viswanathan, V., Ferreira, S., Rose, D., and Schoenwald, D. (2012). Protocol for Uniformly Measuring and Expressing the Performance of Energy Storage Systems.

Rosewater, 2016, Development of a frequency regulation duty-cycle for standardized energy storage performance testing, J. Energy Storage, 7, 286, 10.1016/j.est.2016.04.004

Weniger, J., Tjaden, T., Bergner, J., and Quaschning, V. (2016, January 20–24). Emerging Performance Issues of Photovoltaic Battery Systems. Proceedings of the 32nd European Photovoltaic Solar Energy Conference and Exhibition, Munich, Germany.

Bundesverband Energiespeicher (2017). Effizienzleitfaden Fuer PV-Speichersysteme, Bundesverband Energie- speicher e.V. Available online: www.bves.de/wp-content/uploads/2017/04/Effizienzleitfaden_V1.0.4_April2017.pdf.

Neubauer, 2011, The ability of battery second use strategies to impact plug-in electric vehicle prices and serve utility energy storage applications, J. Power Sources, 196, 10351, 10.1016/j.jpowsour.2011.06.053

Neubauer, J.S., Pesaran, A., Williams, B., Ferry, M., and Eyer, J. (2012). A Techno-Economic Analysis of PEV Battery Second Use: Repurposed-Battery Selling Price and Commercial and Industrial End-User Value, SAE International.

Neubauer, 2015, A Second Life for Electric Vehicle Batteries: Answering Questions on Battery Degradation and Value, SAE Int. J. Mater. Manuf., 8, 544, 10.4271/2015-01-1306

Viswanathan, 2011, Second Use of Transportation Batteries: Maximizing the Value of Batteries for Transportation and Grid Services, IEEE Trans. Veh. Technol., 60, 2963, 10.1109/TVT.2011.2160378

Gladwin, D.T., Gould, C.R., Stone, D.A., and Foster, M.P. (2013, January 10–13). Viability of “second-life” use of electric and hybridelectric vehicle battery packs. Proceedings of the 2013-39th Annual Conference of the IEEE—IECON, Vienna, Austria.

Heymans, 2014, Economic analysis of second use electric vehicle batteries for residential energy storage and load-levelling, Energy Policy, 71, 22, 10.1016/j.enpol.2014.04.016

Birkl, C.R., Frost, D.F., Bizeray, A.M., Richardson, R.R., and Howey, D.A. (2014, January 10–13). Modular converter system for low-cost off-grid energy storage using second life li-ion batteries. Proceedings of the IEEE Global Humanitarian Technology Conference (GHTC), San Jose, CA, USA.

Bosch (2016). A Second Life for Used Batteries: Vattenfall, BMW und Bosch Test Electricity Storage in Hamburg, Bosch. Available online: www.bosch-presse.de/pressportal/de/en/a-second-life-for-used-batteries-64192.html.

Daimler AG (2016). World’s Largest 2nd-Use Battery Storage Is Starting up, Daimler AG. Available online: http://media.daimler.com/marsMediaSite/en/instance/ko/Worlds-largest-2nd-usebattery- storage-is-starting-up.xhtml?oid=13634457.

Kempton, 2005, Vehicle-to-grid power implementation: From stabilizing the grid to supporting large-scale renewable energy, J. Power Sources, 144, 280, 10.1016/j.jpowsour.2004.12.022

Kempton, 2007, Using fleets of electric-drive vehicles for grid support, J. Power Sources, 168, 459, 10.1016/j.jpowsour.2007.03.010

Tan, 2016, Integration of electric vehicles in smart grid: A review on vehicle to grid technologies and optimization techniques, Renew. Sustain. Energy Rev., 53, 720, 10.1016/j.rser.2015.09.012

Palizban, 2016, Energy storage systems in modern grids—Matrix of technologies and applications, J. Energy Storage, 6, 248, 10.1016/j.est.2016.02.001

Malhotra, 2016, Use cases for stationary battery technologies: A review of the literature and existing projects, Renew. Sustain. Energy Rev., 56, 705, 10.1016/j.rser.2015.11.085

Divya, 2009, Battery energy storage technology for power systems—An overview, Electr. Power Syst. Res., 79, 511, 10.1016/j.epsr.2008.09.017

Saez-de Ibarra, A., Milo, A., Gaztanaga, H., Etxeberria-Otadui, I., Rodriguez, P., Bacha, S., and Debusschere, V. (2013, January 16–20). Analysis and comparison of battery energy storage technologies for grid applications. Proceedings of the 2013 IEEE Grenoble Conference, Grenoble, France.

Resch, 2017, Impact of operation strategies of large scale battery systems on distribution grid planning in Germany, Renew. Sustain. Energy Rev., 74, 1042, 10.1016/j.rser.2017.02.075

Delille, 2012, Dynamic Frequency Control Support by Energy Storage to Reduce the Impact of Wind and Solar Generation on Isolated Power System’s Inertia, IEEE Trans. Sustain. Energy, 3, 931, 10.1109/TSTE.2012.2205025

Liserre, 2010, Future energy systems: Integrating renewable energy sources into the smart power grid through industrial electronics, IEEE Ind. Electron. Mag., 4, 18, 10.1109/MIE.2010.935861

Rebours, 2007, A Survey of Frequency and Voltage Control Ancillary Services—Part I: Technical Features, IEEE Trans. Power Syst., 22, 350, 10.1109/TPWRS.2006.888963

Oudalov, A., Cherkaoui, R., and Beguin, A. (2007, January 1–5). Sizing and Optimal Operation of Battery Energy Storage System for Peak Shaving Application: 2007 IEEE Lausanne Power Tech. Proceedings of the IEEE PowerTech, Lausanne, Switzerland.

Stroe, 2017, Operation of a Grid-Connected Lithium-Ion Battery Energy Storage System for Primary Frequency Regulation: A Battery Lifetime Perspective, IEEE Trans. Ind. Appl., 53, 430, 10.1109/TIA.2016.2616319

Liu, 2012, Quantifying Spinning Reserve in Systems with Significant Wind Power Penetration, IEEE Trans. Power Syst., 27, 2385, 10.1109/TPWRS.2012.2207465

Borsche, T., Ulbig, A., Koller, M., and Andersson, G. (2013, January 21–25). Power and energy capacity requirements of storages providing frequency control reserves. Proceedings of the IEEE Power and Energy Society General Meeting (PES), Vancouver, BC, Canada.

Zeh, A., Müller, M., Naumann, M., Hesse, H., Jossen, A., and Witzmann, R. (2016). Fundamentals of Using Battery Energy Storage Systems to Provide Primary Control Reserves in Germany. Batteries, 2.

Greenwood, 2017, Frequency response services designed for energy storage, Appl. Energy, 203, 115, 10.1016/j.apenergy.2017.06.046

Di Giorgio, A., Giuseppi, A., Liberati, F., and Pietrabissa, A. (2017, January 3–6). Controlled electricity distribution network black start with energy storage system support. Proceedings of the 25th IEEE Mediterranean Conference on Control and Automation (MED), Valletta, Malta.

Stan, A.I., Swierczynski, M., Stroe, D.I., Teodorescu, R., and Andreasen, S.J. (2014, January 22–24). Lithium ion battery chemistries from renewable energy storage to automotive and back-up power applications—An overview. Proceedings of the 2014 IEEE International Conference on Optimization of Electrical and Electronic Equipment (OPTIM), Brasov, Romania.

Goebel, 2017, Model-Based Dispatch Strategies for Lithium-Ion Battery Energy Storage Applied to Pay-as-Bid Markets for Secondary Reserve, IEEE Trans. Power Syst., 32, 2724, 10.1109/TPWRS.2016.2626392

Hoppmann, 2014, The economic viability of battery storage for residential solar photovoltaic systems—A review and a simulation model, Renew. Sustain. Energy Rev., 39, 1101, 10.1016/j.rser.2014.07.068

Kairies, 2015, Analysis of the maximal possible grid relief from PV-peak-power impacts by using storage systems for increased self-consumption, Appl. Energy, 137, 567, 10.1016/j.apenergy.2014.07.021

Diouf, 2015, Potential of lithium-ion batteries in renewable energy, Renew. Energy, 76, 375, 10.1016/j.renene.2014.11.058

Göbel, C., Cheng, V., and Jacobsen, H.A. (2017). Profitability of Residential Battery Energy Storage Combined with Solar Photovoltaics. Energies, 10.

Stetz, 2014, Local Voltage Control Strategies for PV Storage Systems in Distribution Grids, IEEE Trans. Smart Grid, 5, 1002, 10.1109/TSG.2013.2291116

Merei, 2016, Optimization of self-consumption and techno-economic analysis of PV-battery systems in commercial applications, Appl. Energy, 168, 171, 10.1016/j.apenergy.2016.01.083

Oudalov, 2007, Optimizing a Battery Energy Storage System for Primary Frequency Control, IEEE Trans. Power Syst., 22, 1259, 10.1109/TPWRS.2007.901459

Aamir, 2016, Review: Uninterruptible Power Supply (UPS) system, Renew. Sustain. Energy Rev., 58, 1395, 10.1016/j.rser.2015.12.335

Lahyani, 2013, Battery/Supercapacitors Combination in Uninterruptible Power Supply (UPS), IEEE Trans. Power Electron., 28, 1509, 10.1109/TPEL.2012.2210736

Bekiarov, S.B., and Emadi, A. (2002, January 10–14). Uninterruptible power supplies: Classification, operation, dynamics, and control. Proceedings of the APEC Seventeenth Annual IEEE Applied Power Electronics Conference and Exposition, Dallas, TX, USA. Cat. No. 02CH37335.

Kargarian, 2016, A Multi-Time Scale Co-Optimization Method for Sizing of Energy Storage and Fast-Ramping Generation, IEEE Trans. Sustain. Energy, 7, 1351, 10.1109/TSTE.2016.2541685

Atzeni, 2013, Demand-Side Management via Distributed Energy Generation and Storage Optimization, IEEE Trans. Smart Grid, 4, 866, 10.1109/TSG.2012.2206060

Burger, 2004, A spot market model for pricing derivatives in electricity markets, Quant. Financ., 4, 109, 10.1088/1469-7688/4/1/010

Wang, 2015, Review of real-time electricity markets for integrating Distributed Energy Resources and Demand Response, Appl. Energy, 138, 695, 10.1016/j.apenergy.2014.10.048

Connolly, 2011, Practical operation strategies for pumped hydroelectric energy storage (PHES) utilising electricity price arbitrage, Energy Policy, 39, 4189, 10.1016/j.enpol.2011.04.032

Beevers, 2015, Pumped hydro storage plants with improved operational flexibility using constant speed Francis runners, Appl. Energy, 137, 629, 10.1016/j.apenergy.2014.09.065

Olson, 2015, Halfway There: Can California Achieve a 50% Renewable Grid?, IEEE Power Energy Mag., 13, 41, 10.1109/MPE.2015.2423211

Denholm, P., O’Connell, M., Brinkman, G., and Jorgenson, J. (2015). Overgeneration from Solar Energy in California. A Field Guide to the Duck Chart.

Bradbury, 2014, Economic viability of energy storage systems based on price arbitrage potential in real-time U.S. electricity markets, Appl. Energy, 114, 512, 10.1016/j.apenergy.2013.10.010

Thimmapuram, 2017, Impact of battery degradation on energy arbitrage revenue of grid-level energy storage, J. Energy Storage, 10, 56, 10.1016/j.est.2016.12.004

Richardson, 2013, Electric vehicles and the electric grid: A review of modeling approaches, Impacts, and renewable energy integration, Renew. Sustain. Energy Rev., 19, 247, 10.1016/j.rser.2012.11.042

Alam, 2015, Community Energy Storage for Neutral Voltage Rise Mitigation in Four-Wire Multigrounded LV Feeders with Unbalanced Solar PV Allocation, IEEE Trans. Smart Grid, 6, 2845, 10.1109/TSG.2015.2427872

Poudineh, 2014, Distributed generation, storage, demand response and energy efficiency as alternatives to grid capacity enhancement, Energy Policy, 67, 222, 10.1016/j.enpol.2013.11.073

Spiliotis, K., Claeys, S., Gutierrez, A.R., and Driesen, J. (2016, January 6–9). Utilizing local energy storage for congestion management and investment deferral in distribution networks. Proceedings of the 13th International Conference on the European Energy Market (EEM), Porto, Portugal.

Haesen, 2010, The Impact of Charging Plug-In Hybrid Electric Vehicles on a Residential Distribution Grid, IEEE Trans. Power Syst., 25, 371, 10.1109/TPWRS.2009.2036481

Veneri, O., Ferraro, L., Capasso, C., and Iannuzzi, D. (2012, January 16–18). Charging infrastructures for EV: Overview of technologies and issues. Proceedings of the 2012 IEEE Electrical Systems for Aircraft, Railway and Ship Propulsion, Bologna, Italy.

Capasso, 2015, Experimental study of a DC charging station for full electric and plug in hybrid vehicles, Appl. Energy, 152, 131, 10.1016/j.apenergy.2015.04.040

Ciccarelli, F., Del Pizzo, A., and Iannuzzi, D. (2013, January 27–30). An ultra-fast charging architecture based on modular multilevel converters integrated with energy storage buffers. Proceedings of the 2013 Eighth IEEE International Conference and Exhibition on Ecological Vehicles and Renewable Energies (EVER), Monte Carlo, Monaco.

Ding, 2015, Value of the energy storage system in an electric bus fast charging station, Appl. Energy, 157, 630, 10.1016/j.apenergy.2015.01.058

Wu, D., Jin, C., Balducci, P., and Kintner-Meyer, M. (2015, January 26–30). An energy storage assessment: Using optimal control strategies to capture multiple services. Proceedings of the 2015 IEEE Power & Energy Society General Meeting, Denver, CO, USA.

Zeh, A., Mueller, M., Hesse, H.C., Jossen, A., and Witzmann, R. (2015, January 17–18). Operating a Multitasking Stationary Battery Storage System for Providing Secondary Control Reserve on Low-Voltage Level. Proceedings of the International ETG Congress 2015, Die Energiewende—Blueprints for the New Energy Age, Bonn, Germany.

Sortomme, E., and El-Sharkawi, M.A. (2009, January 15–18). Optimal Power Flow for a System of Microgrids with Controllable Loads and Battery Storage. Proceedings of the 2009 IEEE/PES Power Systems Conference and Exposition, Seattle, WA, USA.

Mwasilu, 2014, Electric vehicles and smart grid interaction: A review on vehicle to grid and renewable energy sources integration, Renew. Sustain. Energy Rev., 34, 501, 10.1016/j.rser.2014.03.031

Han, 2010, Development of an Optimal Vehicle-to-Grid Aggregator for Frequency Regulation, IEEE Trans. Smart Grid, 1, 65, 10.1109/TSG.2010.2045163

Guille, 2009, A conceptual framework for the vehicle-to-grid (V2G) implementation, Energy Policy, 37, 4379, 10.1016/j.enpol.2009.05.053

Pvmagazine (2017, November 16). Produktdatenbank Batteriespeichersysteme für Photovoltaikanlagen: Pv Magazine Produktdatenbank zu Heimspeichersystemen 2017. Available online: www.pv-magazine.de/marktuebersichten/batteriespeicher/speicher-2017/.

Li, 2013, Battery Energy Storage Station (BESS)-Based Smoothing Control of Photovoltaic (PV) and Wind Power Generation Fluctuations, IEEE Trans. Sustain. Energy, 4, 464, 10.1109/TSTE.2013.2247428

Martins, R., Musilek, P., Hesse, H.C., Jungbauer, J., Vorbuchner, T., and Jossen, A. (2018). Linear Aging Model for Peak Shaving in Industrial Battery Energy Storage System, Unpublished work.

Tjaden, T., Bergner, J., Weniger, J., and Quaschning, V. (2017, November 16). Representative Electrical Load Profiles of Residential Buildings in Germany with a Temporal Resolution of One Second. Available online: https://www.researchgate.net/publication/285577915_Representative_electrical_load_profiles_of_residential_buildings_in_Germany_with_a_temporal_resolution_of_one_second.

Hollinger, 2016, Distributed solar battery systems providing primary control reserve, IET Renew. Power Gener., 10, 63, 10.1049/iet-rpg.2015.0147

Liu, 2013, Opportunities and Challenges of Vehicle-to-Home, Vehicle-to-Vehicle, and Vehicle-to-Grid Technologies, Proc. IEEE, 101, 2409, 10.1109/JPROC.2013.2271951

Venter, 1997, Modelling of stationary bulk hydrogen storage systems, Int. J. Hydrogen Energy, 22, 791, 10.1016/S0360-3199(96)00210-8

Richstein, J.C. (2017, November 16). Open Energy Modelling Initiative. Available online: http://openmod-initiative.org/.

Connolly, 2010, A review of computer tools for analysing the integration of renewable energy into various energy systems, Appl. Energy, 87, 1059, 10.1016/j.apenergy.2009.09.026

Weniger, J. (2017, November 16). PerModAC: Performance-Simulationsmodell für AC-gekoppelte PV-Batteriesysteme. Available online: https://pvspeicher.htw-berlin.de/veroeffentlichungen/daten/permodac/.

Kaun, B. (2017, November 16). Storage Value Estimation Tool (StorageVET™). A Publicly Available, Web-Hosted, Energy Storage Value Simulation Tool. Available online: http://www.storagevet.com/.

Naumann, M., and Truong, C.N. (2017, November 16). SimSES: Software for Techno-Economic Simulation of Stationary Energy Storage Systems. Available online: www.simses.org.

HOMER Energy LLC (2017, November 16). Hybrid Optimization of Multiple Energy Resources. Available online: www.homerenergy.com.

DiOrio, N., Dobos, A., Janzou, S., Nelson, A., and Lundstrom, B. Technoeconomic Modeling of Battery Energy Storage in SAM.

Lambert, T., Gilman, P., and Lilienthal, P. (2006). Micropower system modeling with HOMER. Integr. Altern. Sources Energy, 379–418.

Lujano, 2011, Multi-objective optimization minimizing cost and life cycle emissions of stand-alone PV–wind–diesel systems with batteries storage, Appl. Energy, 88, 4033, 10.1016/j.apenergy.2011.04.019

Chauhan, 2014, A review on Integrated Renewable Energy System based power generation for stand-alone applications: Configurations, storage options, sizing methodologies and control, Renew. Sustain. Energy Rev., 38, 99, 10.1016/j.rser.2014.05.079

Weniger, 2014, Sizing of residential PV battery systems, Energy Procedia, 46, 78, 10.1016/j.egypro.2014.01.160

Karanki, S.B., Xu, D., Venkatesh, B., and Singh, B.N. (2013, January 15–19). Optimal location of battery energy storage systems in power distribution network for integrating renewable energy sources. Proceedings of the IEEE Energy Conversion Congress and Exposition (ECCE), Denver, CO, USA.

Parra, 2016, Optimum community energy storage system for demand load shifting, Appl. Energy, 174, 130, 10.1016/j.apenergy.2016.04.082

Tant, 2013, Multiobjective Battery Storage to Improve PV Integration in Residential Distribution Grids, IEEE Trans. Sustain. Energy, 4, 182, 10.1109/TSTE.2012.2211387

Muenzel, V., Mareels, I., de Hoog, J., Vishwanath, A., Kalyanaraman, S., and Gort, A. (2015, January 17–20). PV generation and demand mismatch: Evaluating the potential of residential storage. Proceedings of the IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), Washington, DC, USA.

Cipcigan, 2017, Optimal battery storage operation for PV systems with tariff incentives, Appl. Energy, 203, 422, 10.1016/j.apenergy.2017.06.043

Gholian, 2016, Optimal Industrial Load Control in Smart Grid, IEEE Trans. Smart Grid, 7, 2305, 10.1109/TSG.2015.2468577

Geth, F., Tant, J., Haesen, E., Driesen, J., and Belmans, R. (2010, January 25–29). Integration of energy storage in distribution grids. Proceedings of the IEEE Power and Energy Society General Meeting, Minneapolis, MN, USA.

Angenendt, 2016, Enhancing Battery Lifetime in PV Battery Home Storage System Using Forecast Based Operating Strategies, Energy Procedia, 99, 80, 10.1016/j.egypro.2016.10.100

Bergner, J., Weniger, J., Tjaden, T., and Quaschning, V. (2014, January 22–26). Feed-in power limitation of grid-connected PV battery systems with autonomous forecast-based operation strategies. Proceedings of the 29th European Photovoltaic Solar Energy Conference and Exhibition, Amsterdam, The Netherlands.

Sedghi, 2016, Optimal Storage Planning in Active Distribution Network Considering Uncertainty of Wind Power Distributed Generation, IEEE Trans. Power Syst., 31, 304, 10.1109/TPWRS.2015.2404533

Singh, 2012, Implementation of Vehicle to Grid Infrastructure Using Fuzzy Logic Controller, IEEE Trans. Smart Grid, 3, 565, 10.1109/TSG.2011.2172697

Koller, M., Borsche, T., Ulbig, A., and Andersson, G. (2013, January 16–20). Defining a degradation cost function for optimal control of a battery energy storage system. Proceedings of the 2013 IEEE Grenoble Conference, Grenoble, France.

Schneider, 2016, Using inventory models for sizing energy storage systems: An interdisciplinary approach, J. Energy Storage, 8, 339, 10.1016/j.est.2016.02.009

Bianchi, 2014, Control of a lithium-ion battery storage system for microgrid applications, J. Power Sources, 272, 531, 10.1016/j.jpowsour.2014.08.087

Hoffman, M., Kintner-Meyer, M., DeSteese, J., and Sadovsky, A. (2010). Analysis Tools for Sizing and Placement of Energy Storage in Grid Applications.

Kabir, 2014, Coordinated Control of Grid-Connected Photovoltaic Reactive Power and Battery Energy Storage Systems to Improve the Voltage Profile of a Residential Distribution Feeder, IEEE Trans. Ind. Inform., 10, 967, 10.1109/TII.2014.2299336

Tzscheutschler, 2015, Short-term smart learning electrical load prediction algorithm for home energy management systems, Appl. Energy, 147, 10, 10.1016/j.apenergy.2015.01.122

Vytelingum, P., Voice, T.D., Ramchurn, S.D., Rogers, A., and Jennings, N.R. (2010, January 10–14). Agent-based micro-storage management for the Smart Grid. Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems, Toronto, ON, Canada.

Mokhtari, 2013, Smart Coordination of Energy Storage Units (ESUs) for Voltage and Loading Management in Distribution Networks, IEEE Trans. Power Syst., 28, 4812, 10.1109/TPWRS.2013.2272092