基于GA的发输电合成系统最优可靠性计算新方法

将可靠性和经济性相结合，提出了基于总拥有费用法的发输电合成系统最优可靠性算法的总体框架，进而在概率安全性和概率充裕度综合评估基础上，将综合评估风险指标和可靠性经济评估理论相结合，建立了基于遗传算法和蒙特卡罗仿真相结合的最优可靠性计算模型和算法。算法使最终求得的各元件的最优解所对应的规划方案的总成本最小。最后对IEEE—RTS标准测试系统进行了计算，结果表明所提模型和算法是可行的。

A NEW CALCULATION METHOD FOR OPTIMAL RELIABILITY INDICES OF COMPOSITE POWER SYSTEM USING GA

To coordinate reliability and economics, an overall framework of optimal reliability algorithm for composite power system based on total owning cost (TOC) is proposed. Combined with risk indices of comprehensive reliability assessment and economic assessment theory, there might be trade-off between system installation cost and power interruption cost in the competitive power market environment. Interruption cost can be obtained through quantitative reliability indices of probabilistic security and probabilistic adequacy comprehensive evaluation based on Monte-Carlo simulation. Through applying GA to solve these kinds of complex discontinuous reliability optimization problems, the optimal reliability indices of components are obtained, which minimize the total owning cost comprising apparatus investment cost and interruption cost. A case study of the IEEE-RTS test system is presented to demonstrate the effectiveness and feasibility of the proposed algorithm. The proposed method is a valuable and powerful tool for power system planning, and it makes research results of reliability evaluation become more practical in the competitive market environment.