Economic Dispatch of a Virtual Power Plant Considering Demand Response in Electricity Market Environment

doi:10.11930/j.issn.1004-9649.202001092

Abstract

Abstract: As an important part of the energy Internet, the virtual power plant plays a vital role in aggregating distributed energy and user-side resources and improving the trading system of electricity market. However, due to the large installed capacity of renewable energy in the virtual power plant and its randomness in output, it is needed for the renewable energy to bear the penalty cost in the electricity market. It is proposed to use the virtual power plant to aggregate distributed energy to provide power services for multiple types of loads. Firstly, a distributed power output uncertainty model is established with Monte Carlo sampling. Then, with consideration of the demand response, a bi-level optimization model is established for the virtual power plant and the user side, which takes the virtual plant's net income as the upper objective function, and takes into account of such factors as market transaction income, electricity sales revenue, and power generation cost. And furthermore, the user's power purchase behavior and response behavior are optimized by taking the user-side purchase cost as the lower objective function. Finally, a case study is conducted and the results have verified that the proposed model can reduce the bidding bias of a virtual power plant in the power market and increase the profit, and effectively reduce the load purchase cost as well.

Key words: virtual power plant, electricity market, demand response, bi-level optimization, electric vehicle

LIU Xin, WU Hongbin, WANG Jingjie, LU Junhua. Economic Dispatch of a Virtual Power Plant Considering Demand Response in Electricity Market Environment[J]. Electric Power, 2020, 53(9): 172-180.

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URL: https://www.electricpower.com.cn/EN/10.11930/j.issn.1004-9649.202001092

https://www.electricpower.com.cn/EN/Y2020/V53/I9/172

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