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随着智能电网的建设以及可再生能源发电的并网,电力系统网络容量和规模不断扩大,各种不确定性因素不断增加,对发输电系统充裕度评估工作带来了新的挑战。提出发输电系统充裕度评估指标,分析二元蚁群算法的搜索原理,并利用考虑搜索序列顺序的信息素浓度更新机制对该算法进行改进;在此基础上,提出利用改进二元蚁群算法评估含风电并网的发输电系统充裕度的流程,建立评估模型;最后,利用改进的Garver-6节点系统分析含风电并网的发输电系统的充裕度评估方法,并与蚁群算法、二元蚁群算法对比,验证改进的二元蚁群算法的有效性。
With the construction of smart grids and the integration of renewable energy power generation, the capacity and scale of power system networks are constantly expanding, and various uncertainties are increasing. This poses new challenges to the adequacy assessment of transmission and distribution systems. The evaluation index of transmission system adequacy is proposed, the search principle of binary ant colony algorithm is analyzed, and the algorithm is improved by using the pheromone concentration updating mechanism which considers the order of search sequence. On this basis, the improved binary ant colony algorithm Finally, using the improved Garver-6 node system to analyze the adequacy evaluation method of generating and transmitting system with wind power grid-connected, and with the ant colony algorithm, two Yuan ant colony algorithm contrast to verify the effectiveness of the improved binary ant colony algorithm.