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基于改进灰狼算法的变电站多阶段升压规划优化方法

Optimization Method for Multi-stage Boost Planning of Substation Based on Improved GWO

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【作者】 廖志伟; 肖异瑶; 张文锦;

【Author】 LIAO Zhiwei;XIAO Yiyao;ZHANG Wenjin;School of Electrical Power,South China University of Technology;

【机构】 华南理工大学电力学院;

【摘要】 针对变电站多阶段规划问题,给出了3种不同升压模式下变电站全寿命周期成本计算方法,并建立了中间年变电站建设时机与建设模式联合优化模型,进一步提升了规划方案经济效益。同时,针对多阶段规划中问题传统智能算法求解收敛速度慢、运算时间长等问题,将灰狼算法引入规划领域,并通过增加交叉变异等环节对其进行了改进。最后,将改进后的灰狼算法应用于变电站多阶段规划模型的求解中,并将其与进行对比,得出改进灰狼算法在求解此类问题时具有一定优势的结论。

【Abstract】 Aiming at the multi-stage planning of substations,three life-cycle cost calculation methods for substations in different boost modes are presented,and a joint optimization model for substation construction timing and construction mode in the middle year is constructed,which further improves the economic benefits of planning scheme. At the same time,to solve the problems of slow convergence speed and long operation time with traditional intelligent algorithms for multi-stage planning problems,the gray wolf algorithm is introduced into the planning field and improved by adding cross-mutation. Finally,the improved gray wolf algorithm is applied to the solution of substation multi-stage planning model,and compared with other methods. It is concluded that the improved gray wolf algorithm has certain advantages in solving such problems.

【基金】 国家自然科学基金资助项目(51807116)~~
  • 【分类号】TM63;TP18
  • 【被引频次】5
  • 【下载频次】180
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