提出一种电力系统鲁棒优化问题的博弈模型以有效处理不确定性,该模型以系统控制变量和大自然确定的决策变量(用于表征不确定性)为博弈参与者,以最小化系统最大运行成本(或风险)为优化目标,从而形成一个min-max博弈格局。进一步总结归纳了工程博弈论的三大主要特征,将所提出的模型应用于含风电和电动汽车的电力系统经济调度,通过求解相应的min-max优化问题,得到了对风电短期不确定性具有较强鲁棒性的经济调度策略。在IEEE 9节点系统上的仿真分析验证了所提模型的正确性和方法的有效性。
A game model of the robust optimization problem for power system is proposed to cope with the uncertainty. It takes system control variable and nature as game players, in which the nature's dicision variable indicates uncertainties. And the optimization objective is to minimize the system's maximum operation cost or risk. Then a min-max game structure comes into being, and three main features of the engineering game theory are presented. Furthermore, based on the robust optimization model, an economic dispatch strategy for system with wind power and EV injectionis investigated by solving the corresponding min-max optimization problem, which is robust with respect to the wind power uncertainty. The simulation results carried out on IEEE 9-bus system demonstrate the validity of the proposed model and method.