A novel approach for sizing thermal and electrical energy storage systems for energy management of islanded residential microgrid

Bagheri Sanjareh, 2020, A novel strategy for frequency control of islanded greenhouse with cooperative usage of BESS and LED lighting loads, Electr. Eng. Hirsch, 2018, Microgrids: A review of technologies, key drivers, and outstanding issues, Renew. Sustain. Energy Rev., 90, 402, 10.1016/j.rser.2018.03.040 Dey, 2019, Dynamic cost analysis of a grid connected microgrid using neighborhood based differential evolution technique, Int. Trans. Electr. Energy Syst., 29, e2665, 10.1002/etep.2665 M.B. Sanjareh, M.H. Nazari, G.B. Gharehpetian, S.M.S. Ghiasi, “A Novel Strategy for Optimal Battery Sizing Based on MG Frequency Security Criterion,” in 2019 International Power System Conference (PSC), 2019, pp. 716–722, doi: 10.1109/PSC49016.2019.9081496. Nazari, 2019, Shapley value-based techno-economic framework for harmonic and loss mitigation, IEEE Access, 7, 119576, 10.1109/ACCESS.2019.2936859 Bagheri-Sanjareh, 2020, A novel and optimal battery sizing procedure based on MG frequency security criterion using coordinated application of BESS, LED lighting loads, and photovoltaic systems, IEEE Access, 8, 95345, 10.1109/ACCESS.2020.2995461 Mateska, 2018, Controllable load operation in microgrids using control scheme based on gossip algorithm, Appl. Energy, 210, 1336, 10.1016/j.apenergy.2017.06.049 Nazari, 2019, A multi-objective LMP pricing strategy in distribution networks based on MOGA algorithm, IFS, 36, 6143, 10.3233/JIFS-181990 Karimi, 2016, Decentralized method for load sharing and power management in a PV/battery hybrid source islanded microgrid, IEEE Trans. Power Electron., 32, 3525, 10.1109/TPEL.2016.2582837 Torkashvand, 2020, A life cycle-cost analysis of Li-ion and lead-acid BESSs and their actively hybridized ESSs with supercapacitors for islanded microgrid applications, IEEE Access, 8, 153215, 10.1109/ACCESS.2020.3017458 Nguyen, 2015, Application of model predictive control to BESS for microgrid control, Energies, 8, 8798, 10.3390/en8088798 Olivieri, 2020, Optimization of residential battery energy storage system scheduling for cost and emissions reductions, Energy Build., 210, 10.1016/j.enbuild.2020.109787 mohammad hassan nazari, S.H. Hosseinian, E. Azad-farsani, D. Faramarzi, An incentive-based policy on reduction of GHG emissions and loss minimization using adaptive group search multi-objective optimization algorithm, Sci. Iran., vol. Pripint (2019) 1–35, Sep. 2019, doi: 10.24200/SCI.2019.53554.3326. M.H. Nazari, M.B. Sanjareh, M.B. Moradi, S.H. Hosseinian, Uniform price-based framework for enhancing power quality and reliability of microgrids using shapley-value incentive allocation method, J. Intell. Fuzzy Syst. Preprint, no. Preprint (2021) 1–21, Jan., doi: 10.3233/JIFS-201703. Pandžić, 2018, Optimal battery energy storage investment in buildings, Energy Build., 175, 189, 10.1016/j.enbuild.2018.07.032 Aznavi, 2020, Optimal management of residential energy storage systems in presence of intermittencies, J. Build. Eng., 29 F.N. Shimim, M. Bahramipanah, H. Nehrir, Resilient and extreme-event-aware microgrid using energy storage and load curtailment, in: 2019 North American Power Symposium (NAPS), 2019, pp. 1–6 Kerdphol, 2016, Optimum battery energy storage system using PSO considering dynamic demand response for microgrids, Int. J. Electr. Power Energy Syst., 83, 58, 10.1016/j.ijepes.2016.03.064 Kerdphol, 2016, Optimization of a battery energy storage system using particle swarm optimization for stand-alone microgrids, Int. J. Electr. Power Energy Syst., 81, 32, 10.1016/j.ijepes.2016.02.006 Y. Gupta, R. Vaidya, H.K. Nunna, S. Kamalasadan, S. Doolla, Optimal PV–battery sizing for residential and commercial loads considering grid outages, in: 2020 IEEE International Conference on Power Electronics, Smart Grid and Renewable Energy (PESGRE2020), 2020, pp. 1–5. Dong, 2018, Battery and backup generator sizing for a resilient microgrid under stochastic extreme events, IET Gener. Transm. Distrib., 12, 4443, 10.1049/iet-gtd.2018.5883 Dhundhara, 2018, Techno-economic analysis of the lithium-ion and lead-acid battery in microgrid systems, Energy Convers. Manage., 177, 122, 10.1016/j.enconman.2018.09.030 Tenfen, 2016, Lithium-ion battery modelling for the energy management problem of microgrids, IET Gener. Transm. Distrib., 10, 576, 10.1049/iet-gtd.2015.0423 C.-L. Li, C.-H. Lin, L.-R. Chang-Chien, Energy management strategy for renewable backup supply, in: 2017 IEEE Second International Conference on DC Microgrids (ICDCM), 2017, pp. 577–581. M.B. Sanjareh, M.H. Nazari, G.B. Gharehpetian, R. Ahmadiahangar, A. Rosin, Optimal scheduling of HVACs in islanded residential microgrids to reduce BESS size considering effect of discharge duration on voltage and capacity of battery cells, Sustain. Energy, Grids Networks (2020) 100424, doi: 10.1016/j.segan.2020.100424. U.S Energy information administration, “RESIDENTIAL ENERGY CONSUMPTION SURVEY (RECS),” 2015. Soudjani, 2014, Aggregation and control of populations of thermostatically controlled loads by formal abstractions, IEEE Trans. Control Syst. Technol., 23, 975, 10.1109/TCST.2014.2358844 Acharya, 2017, Coordinated frequency control strategy for an islanded microgrid with demand side management capability, IEEE Trans. Energy Convers., 33, 639, 10.1109/TEC.2017.2763186 Bashash, 2012, Modeling and control of aggregate air conditioning loads for robust renewable power management, IEEE Trans. Control Syst. Technol., 21, 1318, 10.1109/TCST.2012.2204261 Mathieu, 2012, State estimation and control of electric loads to manage real-time energy imbalance, IEEE Trans. Power Syst., 28, 430, 10.1109/TPWRS.2012.2204074 Luo, 2016, An operational planning framework for large-scale thermostatically controlled load dispatch, IEEE Trans. Ind. Informatics, 13, 217, 10.1109/TII.2016.2515086 Ruddell, 2014, Reducing a semiarid city’s peak electrical demand using distributed cold thermal energy storage, Appl. Energy, 134, 35, 10.1016/j.apenergy.2014.07.096 Baniasadi, 2018, Optimal real-time residential thermal energy management for peak-load shifting with experimental verification, IEEE Trans. Smart Grid, 10, 5587, 10.1109/TSG.2018.2887232 Comodi, 2015, Multi-apartment residential microgrid with electrical and thermal storage devices: Experimental analysis and simulation of energy management strategies, Appl. Energy, 137, 854, 10.1016/j.apenergy.2014.07.068 I. Dincer, M.A. Rosen, Exergy analysis of thermal energy storage systems, in: I. Dincer, M.A. Rosen (Eds.), Exergy, 2nd ed., Elsevier, Oxford, UK, 2013, pp. 133–166. Sun, 2013, Peak load shifting control using different cold thermal energy storage facilities in commercial buildings: A review, Energy Convers. Manage., 71, 101, 10.1016/j.enconman.2013.03.026 G.J. Suppes, T.S. Storvick, Sustainable power technologies and infrastructure” 2019. Enescu, 2020, Thermal energy storage for grid applications: current status and emerging trends, Energies, 13, 340, 10.3390/en13020340 Z. Abdin, K.R. Khalilpour, Single and polystorage technologies for renewable-based hybrid energy systems, in: Polygeneration with Polystorage for Chemical and Energy Hubs, Elsevier, 2019, pp. 77–131. A.K. Rizvandi, M. Bagheri Sanjareh, M.H. Nazari, S.M.S. Ghiasi, A Novel Scheme for Enabling Air Conditioners to Participate in Primary Frequency Control - IEEE Conference Publication, Dec. 2020, Accessed: Feb. 12, 2021. [Online]. Available: https://ieeexplore.ieee.org/document/9335753. F. Hussain, M.Z. Rahman, A.N. Sivasengaran, M. Hasanuzzaman, Energy storage technologies, in: Energy for Sustainable Development, Elsevier, 2020, pp. 125–165. Sarbu, 2018, A comprehensive review of thermal energy storage, Sustainability, 10, 191, 10.3390/su10010191 Ben Elghali, 2019, Selecting and optimal sizing of hybridized energy storage systems for tidal energy integration into power grid, J. Mod. Power Syst. Clean Energy, 7, 113, 10.1007/s40565-018-0442-0 Glasgo, 2016, How much electricity can we save by using direct current circuits in homes? Understanding the potential for electricity savings and assessing feasibility of a transition towards DC powered buildings, Appl. Energy, 180, 66, 10.1016/j.apenergy.2016.07.036 Ghenai, 2019, Design and optimization of grid-tied and off-grid solar PV systems for super-efficient electrical appliances, Energy Effic., 1 M. Masih-Tehrani, M.R.H. Yazdi, V. Esfahanian, M. Dahmardeh, H. Nehzati, Wavelet-based power management for hybrid energy storage system, J. Mod. Power Syst. Clean Energy 7(4) (2019) 779–790. Papathanassiou, 2005, A benchmark low voltage microgrid network, 1 Bagheri-Sanjareh, 2020, Coordination of energy storage system, PVs and smart lighting loads to reduce required battery size for improving frequency response of islanded microgrid, Sustain. Energy, Grids Networks, 22, 10.1016/j.segan.2020.100357 Zhu, 2002, Development of models for analyzing the load-following performance of microturbines and fuel cells, Electr. Power Syst. Res., 62, 1, 10.1016/S0378-7796(02)00033-0 J. Mathieu, M. Dyson, D. Callaway, A. Rosenfeld, Using residential electric loads for fast demand response: The potential resource and revenues, the costs, and policy recommendations, in: ACEEE Summer Study on Energy Efficiency in Buildings, 2012, pp. 189–203. Lidula, 2011, Microgrids research: A review of experimental microgrids and test systems, Renew. Sustain. Energy Rev., 15, 186, 10.1016/j.rser.2010.09.041 “World climate guide.” http://www.worldclimateguide.co.uk/. “Report of energy consumption of residential consumers in Iran,” Islamic Parliament Research Center Of The Islamic Republic Of IRAN, 2018. Allison, 2017, Simulation, implementation and monitoring of heat pump load shifting using a predictive controller, Energy Convers. Manage., 150, 890, 10.1016/j.enconman.2017.04.093