基于免疫萤火虫算法的配电网低碳目标网架规划分析

当前在配电网网架规划中存在算法寻优能力差,二氧化碳削减量较低的问题,基于低碳化需求,将免疫萤火虫算法应用到配电网规划中,提出基于免疫萤火虫算法的配电网低碳目标网架规划分析方法。将低碳费用指标、电压安全指标和有功网损指标作为优化指标,在低碳目标的基础上构建配电网规划模型,采用免疫萤火虫算法,结合免疫克隆技术和萤火虫优化技术对配电网规划模型进行求解,实现配电网低碳目标的网架规划。实验结果显示,所提方法规划后的配电网二氧化碳削减量高,算法寻优能力强,符合低碳环保理念的同时能够获取最优规划方案,具有实用性。

Planning and Analysis of Low Carbon Target Framework Based on Immune Firefly Algorithm

At present,problems exist in distribution network framework planning,such as poor algorithm optimization ability and low carbon dioxide reduction amount.Based on the low-carbon demand,this paper applies the immune firefly algorithm to the distribution network planning,and proposes an analysis method for the low-carbon target framework planning based on immune firefly algorithm.With low carbon cost index,voltage security index and active network loss index as the optimization index,a distribution network planning model is constructed on the basis of the low carbon target,and the distribution network planning model is solved using immune firefly algorithm combined with immune clone technology and optimization technology of fireflies to realize the framework planning of low carbon target of distribution networks.The experimental results show that the proposed method has high carbon dioxide reduction capacity and strong algorithm optimization ability,and it is both practical and in line with the concept of low carbon environmental protection and able to obtain the optimal planning scheme,which is practical.