Integration of energy storage with diesel generation in remote communities

Rodrigo D. Trevizan1, Alexander J. Headley2, Robert Geer2, Stanley Atcitty1, Imre Gyuk3
1Sandia National Laboratories, Albuquerque, USA
2Department of Mechanical Engineering, The University of Memphis, Memphis, USA
3U.S. Department of Energy, Washington, USA

Tóm tắt

This paper will highlight unique challenges and opportunities with regard to energy storage utilization in remote, self-sustaining communities. The energy management of such areas has unique concerns. Diesel generation is often the go-to power source in these scenarios, but these systems are not devoid of issues. Without dedicated maintenance crews as in large, interconnected network areas, minor interruptions can be frequent and invasive not only for those who lose power, but also for those in the community that must then correct any faults. Although the immediate financial benefits are perhaps not readily apparent, energy storage could be used to address concerns related to reliability, automation, fuel supply concerns, generator degradation, solar utilization, and, yes, fuel costs to name a few. These ideas are shown through a case study of the Levelock Village of Alaska. Currently, the community is faced with high diesel prices and a difficult supply chain, which makes temporary loss of power very common and reductions in fuel consumption very impactful. This study will investigate the benefits that an energy storage system could bring to the overall system life, fuel costs, and reliability of the power supply. The variable efficiency of the generators, impact of startup/shutdown process, and low-load operation concerns are considered. The technological benefits of the combined system will be explored for various scenarios of future diesel prices and technology maintenance/replacement costs as well as for the avoidance of power interruptions that are so common in the community currently. In several cases, energy storage can provide a means to promote energy equity by improving remote communities’ power supply reliability to levels closer to what the average urban consumer experiences at a reduced cost compared to transmission buildout. Furthermore, energy equity represents a hard-to-quantify benefit achieved by the integration of energy storage to isolated power systems of under-served communities, which suggests that the financial aspects of such projects should be questioned as the main performance criterion. To improve battery energy storage system valuation for diesel-based power systems, integration analysis must be holistic and go beyond fuel savings to capture every value stream possible.

Từ khóa


Tài liệu tham khảo

K. Kusakana, Optimisation of battery-integrated diesel generator hybrid systems using an ON/OFF operating strategy. In International Conference on the Domestic Use of Energy (DUE), pp. 187–192 (2015). https://doi.org/10.1109/DUE.2015.7102980 J. Zhang, L. Huang, J. Shu, H. Wang, J. Ding, Energy management of PV-diesel-battery hybrid power system for island stand-alone micro-grid. Energy Procedia 105, 2201–2206 (2017). https://doi.org/10.1016/j.egypro.2017.03.622 M.A. Tankari, M.B. Camara, B. Dakyo, G. Lefebvre, Use of ultracapacitors and batteries for efficient energy management in wind-diesel hybrid system. IEEE Trans. Sustain. Energy 4(2), 414–424 (2013). https://doi.org/10.1109/TSTE.2012.2227067 B. Schenkman, C. Benson, J.B. Vandermeer, M. Mueller-Stoffels, C. Koplin, Opportunities for energy storage to provide spinning reserve in Cordova, Alaska. In 2018 International Symposium on Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), pp. 69–74 (2018). https://doi.org/10.1109/SPEEDAM.2018.8445397. A.A. Al-Shamma’a, K.E. Addoweesh, Optimum sizing of hybrid PV/wind/battery/diesel system considering wind turbine parameters using Genetic Algorithm. In 2012 IEEE International Conference on Power and Energy (PECon), pp. 121–126 (2012). https://doi.org/10.1109/PECon.2012.6450190. B.L. Schenkman, J.B. Vandermeer, M. Mueller-Stoffels, C. Koplin, C. Benson, Benefit anlaysis of energy storage for cordova electric cooperative. SAND2017-12636, 1489864 (2017). https://doi.org/10.2172/1489864 I. Das, C.A. Cañizares, Renewable energy integration in diesel-based microgrids at the Canadian arctic. Proc. IEEE 107(9), 1838–1856 (2019). https://doi.org/10.1109/JPROC.2019.2932743 A.J. Headley, D.A. Copp, Energy storage sizing for grid compatibility of intermittent renewable resources: a California case study. Energy 198, 117310 (2020). https://doi.org/10.1016/j.energy.2020.117310 R.H. Byrne, T.A. Nguyen, D.A. Copp, B.R. Chalamala, I. Gyuk, Energy management and optimization methods for grid energy storage systems. IEEE Access 6, 13231–13260 (2018) Bloomberg New Energy Finance, Electric vehicle outlook (2019). https://about.bnef.com/electric-vehicle-outlook/ D. Rosewater, S. Ferreira, D. Schoenwald, J. Hawkins, S. Santoso, Battery energy storage state-of-charge forecasting: models, optimization, and accuracy. IEEE Trans. Smart Grid 10(3), 2453–2462 (2019) M.H. Bollen, Understanding Power Quality Problems: Voltage Sags and Interruptions (2000). https://doi.org/10.1109/9780470546840.ch1 M. Sullivan, M.T. Collins, J. Schellenberg, P.H. Larsen, Estimating power system interruption costs: a guidebook for electric utilities (2018). IEEE Guide for Electric Power Distribution Reliability Indices. IEEE Std 1366–2012 Revis. IEEE Std 1366-2003, pp. 1–43, 2012, https://doi.org/10.1109/IEEESTD.2012.6209381. U.S. Department of Energy, Interruption Cost Estimation (ICE) Calculator. https://icecalculator.com/interruption-cost. Accessed 6 May 2021 PowerTech 6068TFM76 Diesel Engine Marine Generator Drive Engine Specifications. John Deere Power Systems (2017). S.M. Lukic, A. Emadi, Effects of drivetrain hybridization on fuel economy and dynamic performance of parallel hybrid electric vehicles. IEEE Trans. Veh. Technol. 53(2), 385–389 (2004). https://doi.org/10.1109/TVT.2004.823525 A.J. Headley, B.L. Schenkman, D.M. Rosewater, Discrete Logic vs Optimized Dispatch for Energy Storage in a Microgrid, Presented at the IEEE PES General Meeting (2020). S. Rehman, Md. Mahbub Alam, J.P. Meyer, L.M. Al-Hadhrami, Feasibility study of a wind–pv–diesel hybrid power system for a village. Renew. Energy 38(1), 258–268 (2012). https://doi.org/10.1016/j.renene.2011.06.028. J.F. Maissan, Wind power development in sub-arctic conditions with severe rime icing. North. Rev., no. 24 (2001). M. Kaderbhai, Understanding ISO 8528-1 generator set ratings. Cummins, Inc, White Paper GLPT-6240-EN (2017). C. Dozier, Understanding generator set ratings. Caterpillar, Electrical Power Division, White Paper LEXE0047-03 (2013). A.E. Surosky, The effects of long term high idle operation on diesel engines. Defense Technical Information Center, Fort Belvoir, VA (1984). https://doi.org/10.21236/ADA151273. M. Issa, H. Ibrahim, A. Ilinca, M.Y. Hayyani, A review and economic analysis of different emission reduction techniques for marine diesel engines. Open J. Mar. Sci. (2019). https://doi.org/10.4236/ojms.2019.93012. M. Issa, H. Ibrahim, H. Hosni, A. Ilinca, M. Rezkallah, Effects of low charge and environmental conditions on diesel generators operation. Eng (2020). https://doi.org/10.3390/eng1020009. ASCO White Paper | Adverse Effects of Low Load Operation on Diesel Generating Sets | ASCO Power Technologies. https://www.ascopower.com/ca/en/download/document/LB-WP-ADVEFFCTLLODSLGENSETS/. Accessed 21 Jan 2021 S. German-Galkin, D. Tarnapowicz, Z. Matuszak, M. Jaskiewicz, Optimization to limit the effects of underloaded generator sets in stand-alone hybrid ship grids. Energies https://doi.org/10.3390/en13030708. F. Crundwell, Finance for Engineers: Evaluation and Funding of Capital Projects. Springer, Berlin (2008). Lazard’s Levelized Cost of Energy Analysis. version 11.0 (2017) Annual Electric Power Industry Report, Form EIA-861 detailed data files, U.S. Energy Information Administration (2020). https://www.eia.gov/electricity/data/eia861/. Accessed 4 May 2021 K. Mongird, V. Viswanathan, J. Alam, C. Vartanian, V. Sprenkle, R. Baxter, 2020 Grid Energy Storage Technology Cost and Performance Assessment. Energy (2020) W.E. Hart et al., Pyomo — Optimization Modeling in Python, vol. 67. Cham: Springer International Publishing (2017). https://doi.org/10.1007/978-3-319-58821-6. Gurobi Optimization, LLC, Gurobi optimizer reference manual (2021). www.gurobi.com/documentation/refman.pdf A.P. Dobos, PVWatts version 5 manual. National Renewable Energy Lab.(NREL), Golden, CO (United States) (2014).