考虑风光不确定性的分布式能源集成虚拟电厂收益-风险均衡模型

Revenue-risk equilibrium model for distributed energy integrated virtual power plant benefits considering wind and light uncertainty

文章将风电场、光伏发电、小水电站等分布式能源聚合为虚拟电厂,并考虑价格型需求响应负荷及激励型需求响应负荷,以运营收益最大化为目标,综合考虑负荷供需平衡约束、机组运行约束以及旋转备用约束等,构建虚拟电厂常规调度优化模型,利用条件风险价值法(CVaR)和鲁棒随机优化理论构造虚拟电厂风险规避优化模型。最后,以独立微电网作为实例对象,验证了模型能够在最大化经济效益的同时,最大化利用清洁能源,合理控制运营风险,实现虚拟电厂最优化运营。

This article aggregates distributed energy sources such as wind power plant,photovoltaic power generation, and small hydropower station into virtual power plant, and considers price-based demand response loads and incentive-based demand response loads. With the goal of maximizing operating income, comprehensive considering load supply-demand balance, unit operation and rotation reserve and so on constraints, a conventional virtual power plant scheduling optimization model is built. The conditional value-at-risk method(CVaR) and robust stochastic optimization theory is used to construct a virtual power plant risk avoidance optimization model. Finally, using an independent microgrid as an example object, it is verified that the model can maximize the use of clean energy, reasonably control the operational risks,and achieve the optimal operation of the virtual power plant while maximizing the economic benefits.