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Day-ahead scheduling of virtual power plant in joint energy and regulation reserve markets under uncertainties

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  • Shayegan-Rad, Ali
  • Badri, Ali
  • Zangeneh, Ali

Abstract

This paper presents a day-ahead scheduling framework for virtual power plant (VPP) in a joint energy and regulation reserve (RR) markets. The proposed VPP clusters a mix of generation units in term of synchronous distributed generation (SDG) and wind power plant (WPP) as well as storage facilities such as electrical vehicles (EVs) and small pumped storage plant (PSP). It is assumed that VPP provides required RR through its SDG and small PSP based on the delivery request probability of day-ahead market. In order to aggregate EVs, the VPP establishes bilateral incentive contracts with vehicle owners. Moreover, impact of carbon dioxide (CO2) emission of SDG is included by means of penalty cost function. Different uncertain parameters with regard to wind generation, EV owner behaviors, energy and RR market prices and regulation up and down probabilities are considered using a point estimate method (PEM). The case studies are applied to demonstrate the effectiveness of the scheduling model.

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  • Shayegan-Rad, Ali & Badri, Ali & Zangeneh, Ali, 2017. "Day-ahead scheduling of virtual power plant in joint energy and regulation reserve markets under uncertainties," Energy, Elsevier, vol. 121(C), pages 114-125.
    • Handle: RePEc:eee:energy:v:121:y:2017:i:c:p:114-125
    DOI: 10.1016/j.energy.2017.01.006
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    Cited by:

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    5. Rui Gao & Hongxia Guo & Ruihong Zhang & Tian Mao & Qianyao Xu & Baorong Zhou & Ping Yang, 2019. "A Two-Stage Dispatch Mechanism for Virtual Power Plant Utilizing the CVaR Theory in the Electricity Spot Market," Energies, MDPI, vol. 12(17), pages 1-18, September.
    6. Guoqiang Sun & Weihang Qian & Wenjin Huang & Zheng Xu & Zhongxing Fu & Zhinong Wei & Sheng Chen, 2019. "Stochastic Adaptive Robust Dispatch for Virtual Power Plants Using the Binding Scenario Identification Approach," Energies, MDPI, vol. 12(10), pages 1-23, May.
    7. Jiakai Hu & Chuanwen Jiang & Yangyang Liu, 2019. "Short-Term Bidding Strategy for a Price-Maker Virtual Power Plant Based on Interval Optimization," Energies, MDPI, vol. 12(19), pages 1-22, September.
    8. Li, Jinchao & Sun, Zihao & Niu, Xiaoxuan & Li, Shiwei, 2024. "Economic optimization scheduling of virtual power plants considering an incentive based tiered carbon price," Energy, Elsevier, vol. 305(C).
    9. Zafarani, Hamidreza & Taher, Seyed Abbas & Shahidehpour, Mohammad, 2020. "Robust operation of a multicarrier energy system considering EVs and CHP units," Energy, Elsevier, vol. 192(C).
    10. Hui Sun & Yanan Dou & Shubo Hu & Zhengnan Gao & Zhonghui Wang & Peng Yuan, 2023. "Day-Ahead Bidding Strategy of a Virtual Power Plant with Multi-Level Electric Energy Interaction in China," Energies, MDPI, vol. 16(19), pages 1-27, September.
    11. Mohammad Mohammadi Roozbehani & Ehsan Heydarian-Forushani & Saeed Hasanzadeh & Seifeddine Ben Elghali, 2022. "Virtual Power Plant Operational Strategies: Models, Markets, Optimization, Challenges, and Opportunities," Sustainability, MDPI, vol. 14(19), pages 1-23, September.
    12. Srđan Skok & Ahmed Mutapčić & Renata Rubesa & Mario Bazina, 2020. "Transmission Power System Modeling by Using Aggregated Distributed Generation Model Based on a TSO—DSO Data Exchange Scheme," Energies, MDPI, vol. 13(15), pages 1-15, August.
    13. Xiaoyu Lyu & Zhiyu Xu & Ning Wang & Min Fu & Weisheng Xu, 2019. "A Two-Layer Interactive Mechanism for Peer-to-Peer Energy Trading Among Virtual Power Plants," Energies, MDPI, vol. 12(19), pages 1-28, September.
    14. Kong, Xiangyu & Xiao, Jie & Liu, Dehong & Wu, Jianzhong & Wang, Chengshan & Shen, Yu, 2020. "Robust stochastic optimal dispatching method of multi-energy virtual power plant considering multiple uncertainties," Applied Energy, Elsevier, vol. 279(C).
    15. Zengqiang Mi & Yulong Jia & Junjie Wang & Xiaoming Zheng, 2018. "Optimal Scheduling Strategies of Distributed Energy Storage Aggregator in Energy and Reserve Markets Considering Wind Power Uncertainties," Energies, MDPI, vol. 11(5), pages 1-17, May.
    16. Zhou, Kaile & Peng, Ning & Yin, Hui & Hu, Rong, 2023. "Urban virtual power plant operation optimization with incentive-based demand response," Energy, Elsevier, vol. 282(C).
    17. Chen, Qixin & Lyu, Ruike & Guo, Hongye & Su, Xiangbo, 2024. "Real-time operation strategy of virtual power plants with optimal power disaggregation among heterogeneous resources," Applied Energy, Elsevier, vol. 361(C).
    18. Naval, Natalia & Yusta, Jose M., 2021. "Virtual power plant models and electricity markets - A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    19. Seyed Hasan Mirbarati & Najme Heidari & Amirhossein Nikoofard & Mir Sayed Shah Danish & Mahdi Khosravy, 2022. "Techno-Economic-Environmental Energy Management of a Micro-Grid: A Mixed-Integer Linear Programming Approach," Sustainability, MDPI, vol. 14(22), pages 1-14, November.
    20. Fattahi, Abbas & Nahavandi, Ali & Jokarzadeh, Mohammadreza, 2018. "A comprehensive reserve allocation method in a micro-grid considering renewable generation intermittency and demand side participation," Energy, Elsevier, vol. 155(C), pages 678-689.
    21. Zhou, Yizhou & Wei, Zhinong & Sun, Guoqiang & Cheung, Kwok W. & Zang, Haixiang & Chen, Sheng, 2018. "A robust optimization approach for integrated community energy system in energy and ancillary service markets," Energy, Elsevier, vol. 148(C), pages 1-15.

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