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The impact of energy storage modeling in coordination with wind farm and thermal units on security and reliability in a stochastic unit commitment

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  • Vatanpour, Mohsen
  • Sadeghi Yazdankhah, Ahmad

Abstract

The environmental concerns and restrictions of fossil fuel resources have led to the deployment of wind power installation. Due to the uncertain nature of wind speed, high penetration of wind power may threaten system reliability and security. Energy storage systems (ESSs) are considered to be a viable solution to this problem. In this study, a stochastic security constrained unit commitment (SCUC) problem is solved in the presence of wind and ESS units. The main concern of this paper is to study the impact of the proposed ESS model on the security and reliability of the system. To assess the reliability of a power system, the expected unserved energy (EUE) for line outage and demand underestimation contingencies is evaluated. The SCUC problem is solved by a scenario-based method incorporated with the Benders decomposition technique to mitigate congestions from power lines and provide feasibility and optimality of the solution in all the scenarios. The performance of the proposed approach has been evaluated using the 6-bus and 39-bus standard power systems. Simulation results demonstrated the economic advantages of the proposed model, while the security constraints are satisfied. Moreover, the impact of energy storage modeling on the EUE in post-contingency circumstances is discussed.

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  • Vatanpour, Mohsen & Sadeghi Yazdankhah, Ahmad, 2018. "The impact of energy storage modeling in coordination with wind farm and thermal units on security and reliability in a stochastic unit commitment," Energy, Elsevier, vol. 162(C), pages 476-490.
    • Handle: RePEc:eee:energy:v:162:y:2018:i:c:p:476-490
    DOI: 10.1016/j.energy.2018.07.181
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    1. Siano, Pierluigi, 2014. "Demand response and smart grids—A survey," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 461-478.
    2. Hajibandeh, Neda & Shafie-khah, Miadreza & Osório, Gerardo J. & Aghaei, Jamshid & Catalão, João P.S., 2018. "A heuristic multi-objective multi-criteria demand response planning in a system with high penetration of wind power generators," Applied Energy, Elsevier, vol. 212(C), pages 721-732.
    3. Jiang, Yibo & Xu, Jian & Sun, Yuanzhang & Wei, Congying & Wang, Jing & Ke, Deping & Li, Xiong & Yang, Jun & Peng, Xiaotao & Tang, Bowen, 2017. "Day-ahead stochastic economic dispatch of wind integrated power system considering demand response of residential hybrid energy system," Applied Energy, Elsevier, vol. 190(C), pages 1126-1137.
    4. Denholm, Paul & Sioshansi, Ramteen, 2009. "The value of compressed air energy storage with wind in transmission-constrained electric power systems," Energy Policy, Elsevier, vol. 37(8), pages 3149-3158, August.
    5. Reddy, S. Surender, 2017. "Optimal scheduling of thermal-wind-solar power system with storage," Renewable Energy, Elsevier, vol. 101(C), pages 1357-1368.
    6. Barbour, Edward & Wilson, I.A. Grant & Radcliffe, Jonathan & Ding, Yulong & Li, Yongliang, 2016. "A review of pumped hydro energy storage development in significant international electricity markets," Renewable and Sustainable Energy Reviews, Elsevier, vol. 61(C), pages 421-432.
    7. Dursun, Bahtiyar & Alboyaci, Bora, 2010. "The contribution of wind-hydro pumped storage systems in meeting Turkey's electric energy demand," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(7), pages 1979-1988, September.
    8. Anagnostopoulos, J.S. & Papantonis, D.E., 2008. "Simulation and size optimization of a pumped–storage power plant for the recovery of wind-farms rejected energy," Renewable Energy, Elsevier, vol. 33(7), pages 1685-1694.
    9. Díaz-González, Francisco & Sumper, Andreas & Gomis-Bellmunt, Oriol & Villafáfila-Robles, Roberto, 2012. "A review of energy storage technologies for wind power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(4), pages 2154-2171.
    10. Zafirakis, D. & Kaldellis, J.K., 2009. "Economic evaluation of the dual mode CAES solution for increased wind energy contribution in autonomous island networks," Energy Policy, Elsevier, vol. 37(5), pages 1958-1969, May.
    11. Rodrigues, E.M.G. & Osório, G.J. & Godina, R. & Bizuayehu, A.W. & Lujano-Rojas, J.M. & Matias, J.C.O. & Catalão, J.P.S., 2015. "Modelling and sizing of NaS (sodium sulfur) battery energy storage system for extending wind power performance in Crete Island," Energy, Elsevier, vol. 90(P2), pages 1606-1617.
    12. Jurasz, Jakub & Mikulik, Jerzy & Krzywda, Magdalena & Ciapała, Bartłomiej & Janowski, Mirosław, 2018. "Integrating a wind- and solar-powered hybrid to the power system by coupling it with a hydroelectric power station with pumping installation," Energy, Elsevier, vol. 144(C), pages 549-563.
    13. Azcárate, Cristina & Mallor, Fermín & Mateo, Pedro, 2017. "Tactical and operational management of wind energy systems with storage using a probabilistic forecast of the energy resource," Renewable Energy, Elsevier, vol. 102(PB), pages 445-456.
    14. Aliari, Yashar & Haghani, Ali, 2016. "Planning for integration of wind power capacity in power generation using stochastic optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 907-919.
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    7. da Silva, Ramon Gomes & Ribeiro, Matheus Henrique Dal Molin & Moreno, Sinvaldo Rodrigues & Mariani, Viviana Cocco & Coelho, Leandro dos Santos, 2021. "A novel decomposition-ensemble learning framework for multi-step ahead wind energy forecasting," Energy, Elsevier, vol. 216(C).
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    9. Haiyan Zheng & Liying Huang & Ran Quan, 2023. "Mixed-Integer Conic Formulation of Unit Commitment with Stochastic Wind Power," Mathematics, MDPI, vol. 11(2), pages 1-16, January.
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