Bi-level Bidding Strategies for Virtual Power Plants Considering Purchase and Sale Risks

doi:10.12204/j.issn.1000-7229.2020.06.004

Abstract

Abstract: Virtual power plant is a new generation of intelligent control technology and interactive business model that aggregates and optimizes the generation-grid-load-storage clean development. Aiming at the interactive influence of internal resources of the virtual power plant and the external market on the bidding strategy， considering the bilateral interaction characteristics of the virtual power plants internal resources and the external market， a bi-level power price-volume bidding model of the virtual power plant with internal resources and external market is established. Taking into account the price uncertainty of the external market， the conditional value at risk （CVaR） is used to quantify the risks in the purchase and sale of virtual power plants， and a bi-level multi-objective bidding model for virtual power plants with the risk of purchasing and selling electricity is established. Finally， the validity of the bidding strategy is verified using a numerical example.

Key words: virtual power plant （VPP）, bidding strategy, purchase and sale risk, bi-level bidding, conditional value at risk （CVaR）

CLC Number:

TM 73

YE Fei1， SHAO Ping1， WANG Xuanyuan2， ZUO Juan1， WANG Jun3， DOU Xun3， ZHANG Xin3. Bi-level Bidding Strategies for Virtual Power Plants Considering Purchase and Sale Risks[J]. Electric Power Construction, 2020, 41(6): 28-35.

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