考虑多重不确定性的虚拟电厂随机优化调度

Stochastic Optimal Scheduling of Virtual Power Plants Considering Multiple Uncertainties

高比例可再生能源的接入对电力系统注入了大量的不确定性,研究多重不确定性的精确建模对于提升虚拟电厂调度策略的有效性具有重要意义。文中的虚拟电厂集成了光伏机组、风力发电机组、储能系统、热电联产机组和燃气锅炉。基于场景决策对虚拟电厂的多重不确定性进行建模,根据每个不确定参数的平均值和分布式机组的运行参数,确定每个场景的起点和终点,得到每个场景的概率,并将每个不确定参数的定义空间划分为具有特定权重的可数有限场景。计及虚拟电厂的售电收益、与主网交互收益、需求响应成本、削负荷成本以及机组运行成本,建立以虚拟电厂的预期日前收益最高为目标的优化调度模型。仿真结果表明:VPP内电、热负荷功率平衡,未出现弃风、弃光情况,经济性较好;同时未出现中断供电的情况,可靠性较高。

With the increasing high proportion of renewable energy in the power system,a lot of uncertainty are injected into the system. It is of great significance to study the accurate modeling of multiple uncertainties to improve the effectiveness of the scheduling strategy of virtual power plants. The virtual power plant in this paper integrates photovoltaic units,wind turbines,energy storage systems,and combined heat and power units and gas boilers. The multiple uncertainties of the virtual power plant are modeled based on scenario decision-making.The operating parameters of the distributed unit are determined,the starting and ending points of each scenario are determined,the probability of each scenario is obtained,and the definition space of each uncertain parameter is divided into countable limited scenarios with specific weights. Furthermore,taking into account the electricity sales revenue of the virtual power plant,the interaction revenue with the main network,the cost of demand response,the cost of load reduction and the operating cost of the unit,an optimal scheduling model with the goal of the highest expected day-ahead profit of the virtual power plant is established. Finally,the effectiveness of the proposed method is verified by simulation.