基于粒子群算法的电网检修计划编制

在电网检修计划编制的基本原则和工作流程下,根据粒子群基本算法原理对电网检修计划编制进行数学建模。考虑检修时间作为自变量矢量,考虑期望缺供电量和检修成本作为其目标函数,考虑检修时间、检修资源和安全性等多个因素作为约束。结合粒子群算法原理和多目标优化理论,全局搜索非支配解集,形成帕累托前沿。最后依据管理者不同的偏好,通过加权计算的方式量化评估各优化目标,从而遴选出最优解,也即最符合决策人员预期的检修计划。通过与非劣排序多目标遗传算法和多目标粒子群算法进行对比,证明本文算法具有较高的实用性,提升了电网运行维护的自动化水平。

Maintenance Scheduling Generating of Power Grid Based On Particle Swarm Algorithm

Based on basic principle and work processdure of maintenance scheduling generating of power grid,mathematical modeling is builded through particle swarm algorithm.Maintenance time is considered as independent variable vector,expected power shortage and maintenance cost are considered as objective functions,maintenance time,disposable resource,safety are considered as constraint condition.Joining on particle swarm algorithm and multi-object optimizing theory,searching the non-dominating solution in global scope,the Pareto front is formed.In the end,according to the preference of decision-makers,evaluating the the multi-objective optimization model through the multi-objective optimization model,the leading edge of Pareto is formed.By comparing with non-dominated sorting multi-objective genetic algorithm and multi-objective particle swarm optimization algorithm,it is proved that the proposed algorithm has high practicability.and improves the automation level of power grid operation and maintenance.