基于改进引力搜索算法的配电网多目标优化重构

在含分布式电源(distributed generation,DG)的配电网重构中,综合考虑网络经济性、电能质量以及供电可靠性等因素,通过基于模糊满意度的多目标处理方法将多目标函数进行归一化处理,将精英策略思想引入到万有引力搜索算法中,并采用此改进引力搜索算法对问题进行求解。以IEEE 33标准节点系统为例进行网络重构,仿真结果表明,多目标重构后系统的网损有较大的降低,同时节点电压质量和供电可靠性也得到提高,从而验证了所提算法的有效性和可行性。对比其他算法,所提算法有效避免了结果陷入局部最优解,提高了算法的稳定性且具有较强的寻优性能。

Multi-objective Optimization of Distribution Network Reconfiguration Based on Improved Gravitation Search Algorithm

In the distribution network reconfiguration with distributed generation（ DG）,the network economy,power quality and reliability of electricity supply are comprehensively considered. The multi-objective function is normalized based on fuzzy satisfying method,and the elite strategy is introduced to the idea of universal gravitation search algorithm. This improved gravitation search algorithm is used to solve the issues effectively,avoiding the results into local optimal solution to improve the stability of the algorithm. In IEEE 33 standard bus system for network reconfiguration,the simulation results show that the loss of system is greatly reduced after the reconfiguration of multi-objective network system,while the node voltage quality and supply reliability are also improved,which verifies the effectiveness and feasibility of the proposed algorithm. Compared with other algorithms,the proposed algorithm has the strong performance optimization.