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Keywords

stochastic fuzzy power flow, three phase unbalance, energy saving and loss reduction, load probability distribution, probability distribution, particle swarm optimization

Abstract

In order to effectively reduce the power loss caused by three-phase imbalance in distribution network, an energy saving and loss reduction method of three-phase imbalance distribution network based on random fuzzy power flow is proposed. This paper analyzes the harm of three-phase unbalanced distribution network, and obtains the unbalanced degree of distribution network and active power loss of line. Considering the uncertain influence of three-phase balanced distribution network load, the random fuzzy compatibility method is used to perform fuzzy modeling of the loads of distribution networks. The obtained fuzzy input variables are introduced into the power flow model to construct a three-phase unbalanced fuzzy power flow model, which can be utilized to calculate the active power loss of distribution network. The objective function including energy saving and loss reduction is constructed, and the dynamic change factor particle swarm optimization algorithm is used to obtain the optimal solution, so as to achieve energy saving and loss reduction of distribution network. The case study shows that the proposed method can achieve energy saving and loss reduction of distribution network under the condition of three-phase imbalance, and the objective function has good convergence performance and high efficiency of energy saving and loss reduction.

DOI

10.19781/j.issn.1673-9140.2022.06.025

First Page

212

Last Page

218

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