分布式电源中最佳蓄电池容量的机会约束规划

Study on Sizing of Batteries for Distributed Power System Utilizing Chance Constrained Programming

为解决分布式电源中最佳蓄电池容量的计算问题,提出了电池容量优化机会约束规划的数学模型。在分析决定电池容量的关键因素和分布式电源中风能、太阳能以及用户负载随机特性的概率模型基础上,将电池容量的最优化问题归结为机会约束规划问题,得到了优化计算的数学模型,并应用遗传算法,结合随机模拟技术求解,得到了最佳电池容量。实例计算表明该方法是有效的。

In order to resolve the problems for optimum size of batteries storage capacity for distributed power system, a mathematical model of utilizing chance constrained programming is proposed. Based on analyzing the key factors of sizing of batteries in distributed power system, a detailed chance constrained model of sizing of Batteries is proposed, which deal with the stochastic characteristics of wind power, photovoltaic power systems and loads. The constrained function terms of distributed power system is expressed by means of probability. Genetic algorithm is used to solve the chance constrained functions combined with Monte Carlo method. The results of practical example on sizing of batteries storage capacity demonstrate that the approach is effective.