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Bidding Strategy of Virtual Power Plant with Energy Storage Power Station and Photovoltaic and Wind Power
Joint Authors
Tan, Zhongfu
Tan, Qingkun
Wang, Yuwei
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-04-01
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Tan, Zhongfu& Tan, Qingkun& Wang, Yuwei. 2018. Bidding Strategy of Virtual Power Plant with Energy Storage Power Station and Photovoltaic and Wind Power. Journal of Engineering،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1184244
Modern Language Association (MLA)
Tan, Zhongfu…[et al.]. Bidding Strategy of Virtual Power Plant with Energy Storage Power Station and Photovoltaic and Wind Power. Journal of Engineering No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1184244
American Medical Association (AMA)
Tan, Zhongfu& Tan, Qingkun& Wang, Yuwei. Bidding Strategy of Virtual Power Plant with Energy Storage Power Station and Photovoltaic and Wind Power. Journal of Engineering. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1184244
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1184244