Bidding Strategies for Gas-Electricity Virtual Power Plants in Multi-energy Market

doi:10.11930/j.issn.1004-9649.201802056

Abstract

Abstract: In order to solve the problem of virtual power plant bidding risk caused by uncertainty of wind power and demand response, a gas-electricity virtual power plant with bidirectional conversion function is built by using the new power-to-gas technology and the quick adjusting ability of gas turbine, and a multi-energy market bidding model is proposed for bidding of power market and the natural gas market. By taking the maximum profits of gas-electricity virtual power plant as its optimization objective, the model uses the error probability distribution to express the uncertainty of demand response and wind power output, and determines the scenario description through sampling and filtering. The simulation results show that the gas-electricity virtual power plant of bidirectional conversion can obtain higher bidding profits through flexible bidding in the two markets; and the imbalance penalty cost can be reduced substantially through controlling the gas turbine and power-to-gas output. The gas-electricity virtual power plant can extend the virtual power plant bidding market, which is helpful for virtual power plant to switch the energy form in the future according to different price fluctuations of gas and electricity.

Key words: virtual power plant, uncertainty, bidding strategy, electricity market, natural gas market

CLC Number:

TM732

ZHOU Renjun, LV Jia, ZHANG Wujun, LI Juan, DENG Minghui, XIAO Junwen. Bidding Strategies for Gas-Electricity Virtual Power Plants in Multi-energy Market[J]. Electric Power, 2018, 51(7): 120-127.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.201802056

https://www.electricpower.com.cn/EN/Y2018/V51/I7/120

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