基于模糊熵权Vague集的配电网检修决策优化

发布时间：2018-04-03 15:54

本文选题：模糊熵权　切入点：Vague集　出处：《电工技术学报》2015年15期

【摘要】：为提高供电可靠性和经济性,科学合理地制定配电网检修计划具有重大意义。目前检修决策优化仅优化检修时间,尚不能合理地融合决策者的偏好因素和配电网的实际情况。针对配电网检修决策优化问题,以检修时间和检修方式为优化变量,以配电网检修风险和故障风险最小化为目标,综合考虑电网安全和检修关系等约束条件,建立配电网检修多目标优化模型。针对模型采用基于拥挤距离排序的多目标粒子群算法求解出Pareto最优解集。综合决策者的偏好因素和决策矩阵的客观信息,采用基于模糊熵权的Vague集多属性决策方法进行决策,选取出最满意的配电网检修方案。最后,分别以RBTS Bus2系统和RBTS Bus6系统为例,验证了所提模型和算法的可靠性和有效性。
[Abstract]:In order to improve the reliability and economy of power supply, it is of great significance to make the maintenance plan of distribution network scientifically and reasonably.At present, the maintenance decision optimization only optimizes the maintenance time, which can not reasonably integrate the preference factors of decision makers and the actual situation of distribution network.Aiming at the decision optimization problem of distribution network maintenance, the maintenance time and maintenance mode are taken as the optimization variables, the maintenance risk and fault risk minimization in distribution network is taken as the objective, and the constraints such as network security and maintenance relationship are considered synthetically.The multi-objective optimization model of distribution network maintenance is established.For the model, the multi-objective particle swarm optimization algorithm based on crowding distance sorting is used to solve the optimal solution set of Pareto.Based on the decision makers' preference factors and objective information of the decision matrix, the Vague set multi-attribute decision making method based on fuzzy entropy weight is adopted to make the decision, and the most satisfactory maintenance scheme of distribution network is selected.Finally, RBTS Bus2 system and RBTS Bus6 system are taken as examples to verify the reliability and validity of the proposed model and algorithm.
【作者单位】：华北电力大学电气与电子工程学院;
【分类号】：TM732

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