基于改进哈里斯鹰算法的分布式电源优化配置

Optimal Configuration of Distributed Power Supply Based on Improved Harris Eagle Algorithm

为解决分布式电源接入配电网进行合理规划配置的问题,在建立以网络损耗、节点电压偏差、投资综合费用为多目标函数的基础上,采用层次分析法将考虑经济性与稳定性的多目标函数转换成单目标函数,并用改进哈里斯鹰算法寻找最优的配置方案。为进一步改善哈里斯鹰算法的寻优精度与收敛速度,引入Tent混沌提高初始化种群的均匀性;将鲸鱼算法的搜索围捕方式与哈里斯鹰算法结合,增加了算法的多样性并提高了寻优精度;引入t分布策略增强全局寻优能力和求解速度。通过算例验证了采用改进哈里斯鹰算法在求解分布式电源优化配置问题中的高效性和稳定性。

Aimming at the problem of reasonable planning and configuration for the distributed generation to the distribution network, network loss, node voltage deviation, investment, on the basis of comprehensive cost as the objective function, using analytic hierarchy process, the stability of the economy and multi-objective function are considered as a single objective function, and improved Harris hawk algorithm is used to find the optimum configuration scheme. In order to improve the optimization accuracy and convergence speed of Harris Eagle algorithm, Tent chaos is introduced to improve the uniformity of initial population. The combination of whale algorithm and Harris-Eagle algorithm increases the diversity of the algorithm and improves the accuracy of the search. The t-distribution strategy is introduced to enhance the global optimization ability and solve speed. An example is given to verify the efficiency and stability of the improved Harris Eagle algorithm in solving the distributed power supply optimization problem. Through the simulation experiment, compared with the existing particle swarm optimization algorithm and the basic Harris Eagle algorithm, the improved Harris Eagle algorithm effectively reduces the network loss and voltage deviation of the original distribution network system, and reduces the overall investment cost of the distributed generation. The improved Harris-Eagle algorithm is proved to be efficient and stable in solving distributed generation optimal allocation problem.