基于改进Tabu搜索算法的含分布式电源配电网最优潮流

Optimal power flow of distribution network with distributed generation based on modified Tabu search algorithm

针对含分布式电源的配电网络,建立了发电费用最小、污染物处理费用最小和系统有功网损最小等三种目标函数的最优潮流模型。采用前推回代法进行含分布式电源的配电网络潮流计算,利用改进的Tabu搜索算法求解最优潮流。在搜索过程中,引入了自适应步长来提高解的精度。通过对IEEE33节点算例系统进行求解,验证了所建立的模型和算法的正确性。研究表明对接入分布式电源的配电网潮流进行最优控制能够实现降低成本、网损和环境污染的目的。

For the distribution network with distributed generation, we establish optimal power flow models for three objective functions including minimizing generation cost, pollution processing cost and active power loss. We use the back/forward sweep method to calculate power flow, and adopt the modified Tabu search algorithm to solve the optimal power flow. In the process of searching, we introduce the self-adaptive move-step size to improve the algorithm accuracy. Through calculating the IEEE 33-node example system, we verify the validity of the models and algorithm. The research shows it can achieve the goals of reducing cost, loss and pollution with the optimal control of distribution network with distributed generation.