基于人工蜂群算法的分布式电源规划

Optimal Planning of Distributed Generation Based on Artificial Bee Colony Algorithm

研究了在现有配电网中分布式电源的优化规划问题,为实现分布式电源投资商收益最大,建立了以分布式电源售电费用与运行维护费用之差最大为目标的规划模型,考虑分布式电源接入后对配电网的影响,将节点电压与线路潮流加入到约束条件中。针对分布式电源规划模型离散、非线性的特点,采用人工蜂群算法进行模型求解,最后得到了最优的分布式电源接入方案。实际算例验证了所建立模型的有效性以及所采用算法的良好的收敛性。

This paper analyses of the optimal planning problem of distributed generation in existed distribution network.For maximizing the benefit of distributed generation investors,it builds the objective functions which are with the aim of maximizing the value of gain of power selling and substracting operating cost.Considering the influence of distributed generation,the constraint condition contains voltage and power flow.Based on the features of distributed generation planning which are discreet and non-linear,the artificial bee colony algorithm is used.Through the validation of practical examples,the mathematical model is efficient and the algorithm has good convergence.