A chance-constrained programming approach to determine requirement of optimal spinning reserve capacity

Abstract

在机会约束规划的框架下,研究了在兼顾系统运行的可靠性和经济性时,如何考虑发电机组的故障停运和负荷预测误差等不确定性因素,以便确定系统所需的最优旋转备用容量。在以最小化旋转备用的购买成本为目标、以系统的安全性要求为机会约束的条件下,构造了确定系统所需的最优旋转备用容量的数学模型,并采用基于蒙特卡洛仿真的遗传算法进行求解。最后以包含18台机组的电力系统为例对所提出的模型与方法进行了说明。 Under the premise of chance-constrained programming,when the consideration to reliability and economy of system operation should be given,how to consider the uncertainty factors such as the fault outage of generators and the error of load forecasting is researched so as to determine the optimal spinning reserve capacity that power system requires.Taking the purchase cost of minimized spinning reserve as objective as well as the secure requirement of power system as chance-constraint,a mathematical model to determine optimal spinning reserve capacity required by power system is constructed,and Monte Carlo simulation based genetic algorithm is adopted to solve the constructed model.Taking a power system containing 18 generating units for example the proposed model is illustrated. 还原