Bidding Strategy of Virtual Power Plant with Energy Storage Power Station and Photovoltaic and Wind Power. (1st April 2018)

• Record Type: Journal Article
• Authors: Tan, Zhongfu; Tan, Qingkun; Wang, Yuwei
• Other Names: Hwang Yuh-Shyan Academic Editor.
• Is Part Of: Journal of engineering. Volume 2018(2018)
• Publication Date: 2018-04-01
• Subjects: Engineering -- Periodicals; 620.005
• DOI: 10.1155/2018/6139086
• Languages: English
• ISSNs: 2314-4904

Abstract

Abstract : For the virtual power plants containing energy storage power stations and photovoltaic and wind power, the output of PV and wind power is uncertain and virtual power plants must consider this uncertainty when they participate in the auction in the electricity market. In this context, this paper studies the bidding strategy of the virtual power plant with photovoltaic and wind power. Assuming that the upper and lower limits of the combined output of photovoltaic and wind power are stochastically variable, the fluctuation range of the day-ahead energy market and capacity price is stochastically variable. If the capacity of the storage station is large enough to stabilize the fluctuation of the output of the wind and photovoltaic power, virtual power plants can participate in the electricity market bidding. This paper constructs a robust optimization model of virtual power plant bidding strategy in the electricity market, which considers the cost of charge and discharge of energy storage power station and transmission congestion. The model proposed in this paper is solved by CPLEX; the example results show that the model is reasonable and the method is valid.