虚拟电厂是解决分布式电源参与电力市场交易问题的重要途径,然而分布式可再生能源出力的不确定性为虚拟电厂带来了较高的交易风险.针对具有可再生能源渗透率的虚拟电厂,考虑可再生能源出力、负荷及市场电价的不确定性,基于随机规划理论,提出其参与日前能量市场、日内需求响应交易市场和实时能量市场的多阶段竞价策略模型.以IEEE 6节点和24节点系统作为算例进行竞价策略优化,结果表明,需求响应交易可有效促进分布式可再生能源的消纳利用,提高虚拟电厂的经济效益.%Virtual power plant is an important approach to solve the problem of distributed power generation in power market transactions. However, the uncertainty of distributed renewable energies' output brings higher transaction risk to virtual power plants. Considering the uncertainty of renewable energies' output, load and market price, based on the stochastic programming theory, this paper takes the virtual power plant with renewable energy as the object of study; and then, puts forward multi-period bidding strategy model for its participation in day-ahead energy market, intraday demand response trading market and real-time energy market. IEEE 6 bus system and 24 bus system are used as the examples to optimize bidding strategy. The result shows that the demand response transaction can effectively promote the utilization of renewable energy and improve the economic benefits of virtual power plant.
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