A Two-Stage Dispatch Mechanism for Virtual Power Plant Utilizing the CVaR Theory in the Electricity Spot Market

Rui Gao, Hongxia Guo, Ruihong Zhang, Tian Mao, Qianyao Xu, Baorong Zhou and Ping Yang
Additional contact information
Rui Gao: School of Electric Power, South China University of Technology, Guangzhou 510640, China
Hongxia Guo: School of Electric Power, South China University of Technology, Guangzhou 510640, China
Ruihong Zhang: School of Mechanical Engineering and Automation, Harbin Institute of Technology, Shenzhen 518055, China
Tian Mao: Electric Power Research Institute, China Southern Power Grid, Guangzhou 510663, China
Qianyao Xu: Electric Power Research Institute, China Southern Power Grid, Guangzhou 510663, China
Baorong Zhou: Electric Power Research Institute, China Southern Power Grid, Guangzhou 510663, China
Ping Yang: School of Electric Power, South China University of Technology, Guangzhou 510640, China

Energies, 2019, vol. 12, issue 17, 1-18

Abstract: The electricity spot market is now being implemented in China. Demand response, as a kind of flexible resource, is also being studied and explored for the constructed power market. Among the many demand response applications, the virtual power plant (VPP) as an aggregator of distributed energy resources (DERs), receives ever-increasing attention. However, the participation manner and related impacts of the VPP to the electricity spot market are still unknown within the current power market rules. Under this background, obeying the present trading rules of China’s electricity spot market, a two-stage dispatching model with optimized bidding and operating strategy in the day-ahead (DA) and real-time (RT) market for the VPP is proposed. In the designed model, the conditional risk value (CVaR) is adopted to address the risk encountered by the uncertainty of the electricity spot market price. The impact of the user-side over-deviated revenue mechanism (UORM) of the China spot market on the income of the VPP in the DA and RT market is also analyzed. For a full evaluation, different coefficients for the influence of DA and RT risk, UORM, and energy storage system (ESS) are tested to investigate their respective impacts on the revenue of the VPP. The simulation cases prove that the proposed method is helpful for the VPP to optimize DERs’ output in the electricity spot market according to its own risk preference.

Keywords: conditional risk value; demand response; electricity spot market; virtual power plant (VPP); two-stage dispatching (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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