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Optimized power dispatch for solar photovoltaic-storage system with multiple buildings in bilateral contracts

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  • Ahsan, Syed M.
  • Khan, Hassan A.
  • Hassan, Naveed-ul
  • Arif, Syed M.
  • Lie, Tek-Tjing

Abstract

Storage coupled solar photovoltaic systems have gained traction in recent years due to a) advancements in battery storage technologies and b) decreasing system costs. The viability and optimum operation of these systems is typically studied for building(s) in isolation or with grid interactions. In this paper a grid-interactive photovoltaic-storage system in a multi building scenario with net-metering is evaluated. A simulation model is developed for an interconnected multi building environment with a primary building owning the photovoltaic-battery system. The optimization model is formulated as a mixed integer linear programming problem and is solved in ILOG optimization studio with CPLEX solver. Multiple secondary buildings can procure power from the primary building based on suitable bilateral contracts. The applicability of the model is demonstrated through real-time load demand of three buildings along with actual time-of-use pricing data from the utility in the city of Auckland, New Zealand. The results provide an insight on the financial gains of installing rooftop photovoltaic-battery systems at buildings with power trading agreements under time-varying electricity tariffs. The detailed results from the model signify that primary building (with solar and storage) earns up to 43% of annual profits after incorporating installation costs of photovoltaic-battery system. Further, secondary buildings (without solar or storage) achieve 3–16% of savings in the electricity costs based on different contracted loads and agreement tariffs. This work can further enhance the utilization of solar energy resource via rooftop solar photovoltaic to help mitigate the per capita carbon dioxide emissions in countries with high dependency over fossil fuel for electricity generation.

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  • Ahsan, Syed M. & Khan, Hassan A. & Hassan, Naveed-ul & Arif, Syed M. & Lie, Tek-Tjing, 2020. "Optimized power dispatch for solar photovoltaic-storage system with multiple buildings in bilateral contracts," Applied Energy, Elsevier, vol. 273(C).
    • Handle: RePEc:eee:appene:v:273:y:2020:i:c:s0306261920307650
    DOI: 10.1016/j.apenergy.2020.115253
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    as
    1. Onishi, Viviani C. & Antunes, Carlos H. & Fraga, Eric S. & Cabezas, Heriberto, 2019. "Stochastic optimization of trigeneration systems for decision-making under long-term uncertainty in energy demands and prices," Energy, Elsevier, vol. 175(C), pages 781-797.
    2. Hirvonen, Janne & Kayo, Genku & Cao, Sunliang & Hasan, Ala & Sirén, Kai, 2015. "Renewable energy production support schemes for residential-scale solar photovoltaic systems in Nordic conditions," Energy Policy, Elsevier, vol. 79(C), pages 72-86.
    3. Ratnam, Elizabeth L. & Weller, Steven R. & Kellett, Christopher M., 2015. "An optimization-based approach to scheduling residential battery storage with solar PV: Assessing customer benefit," Renewable Energy, Elsevier, vol. 75(C), pages 123-134.
    4. Numbi, B.P. & Malinga, S.J., 2017. "Optimal energy cost and economic analysis of a residential grid-interactive solar PV system- case of eThekwini municipality in South Africa," Applied Energy, Elsevier, vol. 186(P1), pages 28-45.
    5. Nie, S. & Huang, Z.C. & Huang, G.H. & Yu, L. & Liu, J., 2018. "Optimization of electric power systems with cost minimization and environmental-impact mitigation under multiple uncertainties," Applied Energy, Elsevier, vol. 221(C), pages 249-267.
    6. Khan, Jibran & Arsalan, Mudassar H., 2016. "Solar power technologies for sustainable electricity generation – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 55(C), pages 414-425.
    7. Anilkumar, T.T. & Simon, Sishaj P. & Padhy, Narayana Prasad, 2017. "Residential electricity cost minimization model through open well-pico turbine pumped storage system," Applied Energy, Elsevier, vol. 195(C), pages 23-35.
    8. Li, Zhengmao & Xu, Yan, 2019. "Temporally-coordinated optimal operation of a multi-energy microgrid under diverse uncertainties," Applied Energy, Elsevier, vol. 240(C), pages 719-729.
    9. Zhang, Jian & Cho, Heejin & Luck, Rogelio & Mago, Pedro J., 2018. "Integrated photovoltaic and battery energy storage (PV-BES) systems: An analysis of existing financial incentive policies in the US," Applied Energy, Elsevier, vol. 212(C), pages 895-908.
    10. Nyholm, Emil & Goop, Joel & Odenberger, Mikael & Johnsson, Filip, 2016. "Solar photovoltaic-battery systems in Swedish households – Self-consumption and self-sufficiency," Applied Energy, Elsevier, vol. 183(C), pages 148-159.
    11. Sani Hassan, Abubakar & Cipcigan, Liana & Jenkins, Nick, 2017. "Optimal battery storage operation for PV systems with tariff incentives," Applied Energy, Elsevier, vol. 203(C), pages 422-441.
    12. Tongsopit, Sopitsuda & Junlakarn, Siripha & Wibulpolprasert, Wichsinee & Chaianong, Aksornchan & Kokchang, Phimsupha & Hoang, Nghia Vu, 2019. "The economics of solar PV self-consumption in Thailand," Renewable Energy, Elsevier, vol. 138(C), pages 395-408.
    13. Azim, M. Imran & Tushar, Wayes & Saha, Tapan K., 2020. "Investigating the impact of P2P trading on power losses in grid-connected networks with prosumers," Applied Energy, Elsevier, vol. 263(C).
    14. Thomas, Dimitrios & Deblecker, Olivier & Ioakimidis, Christos S., 2018. "Optimal operation of an energy management system for a grid-connected smart building considering photovoltaics’ uncertainty and stochastic electric vehicles’ driving schedule," Applied Energy, Elsevier, vol. 210(C), pages 1188-1206.
    15. Lai, Chun Sing & McCulloch, Malcolm D., 2017. "Levelized cost of electricity for solar photovoltaic and electrical energy storage," Applied Energy, Elsevier, vol. 190(C), pages 191-203.
    16. O'Shaughnessy, Eric & Cutler, Dylan & Ardani, Kristen & Margolis, Robert, 2018. "Solar plus: Optimization of distributed solar PV through battery storage and dispatchable load in residential buildings," Applied Energy, Elsevier, vol. 213(C), pages 11-21.
    17. Babacan, Oytun & Ratnam, Elizabeth L. & Disfani, Vahid R. & Kleissl, Jan, 2017. "Distributed energy storage system scheduling considering tariff structure, energy arbitrage and solar PV penetration," Applied Energy, Elsevier, vol. 205(C), pages 1384-1393.
    18. Ekren, Orhan & Ekren, Banu Y., 2010. "Size optimization of a PV/wind hybrid energy conversion system with battery storage using simulated annealing," Applied Energy, Elsevier, vol. 87(2), pages 592-598, February.
    19. Branker, K. & Pathak, M.J.M. & Pearce, J.M., 2011. "A review of solar photovoltaic levelized cost of electricity," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4470-4482.
    20. Mashood Nasir & Hassan Abbas Khan & Irfan Khan & Naveed ul Hassan & Nauman Ahmad Zaffar & Aneeq Mehmood & Thilo Sauter & S. M. Muyeen, 2019. "Grid Load Reduction through Optimized PV Power Utilization in Intermittent Grids Using a Low-Cost Hardware Platform," Energies, MDPI, vol. 12(9), pages 1-21, May.
    21. Nikmehr, Nima & Najafi-Ravadanegh, Sajad & Khodaei, Amin, 2017. "Probabilistic optimal scheduling of networked microgrids considering time-based demand response programs under uncertainty," Applied Energy, Elsevier, vol. 198(C), pages 267-279.
    22. DiOrio, Nicholas & Denholm, Paul & Hobbs, William B., 2020. "A model for evaluating the configuration and dispatch of PV plus battery power plants," Applied Energy, Elsevier, vol. 262(C).
    23. Salpakari, Jyri & Lund, Peter, 2016. "Optimal and rule-based control strategies for energy flexibility in buildings with PV," Applied Energy, Elsevier, vol. 161(C), pages 425-436.
    24. Mavromatidis, Georgios & Orehounig, Kristina & Carmeliet, Jan, 2018. "Design of distributed energy systems under uncertainty: A two-stage stochastic programming approach," Applied Energy, Elsevier, vol. 222(C), pages 932-950.
    25. Khan, Hassan A. & Pervaiz, Saad, 2013. "Technological review on solar PV in Pakistan: Scope, practices and recommendations for optimized system design," Renewable and Sustainable Energy Reviews, Elsevier, vol. 23(C), pages 147-154.
    26. Darghouth, Naïm R. & Wiser, Ryan H. & Barbose, Galen & Mills, Andrew D., 2016. "Net metering and market feedback loops: Exploring the impact of retail rate design on distributed PV deployment," Applied Energy, Elsevier, vol. 162(C), pages 713-722.
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