An improved differential evolution algorithm-based optimal series compensation voltage control strategy for an active distribution network

Zhihua Zhang, Peter Crossley, Bingyin Xu, Jun Ma

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    Abstract

    A distribution network with distributed generation (DG) is usually called an active distribution network. The voltage quality in an active distribution network tends to degrade because of the bidirectional power flow in the network and the random output characteristic of DG. Existing voltage control methods cannot effectively address this issue. In this article, an improved differential evolution (DE) algorithm-based optimal series compensation voltage control method for an active distribution network is presented. It is assumed that the series compensating voltage is produced flexibly by modern power electronics equipment. The quantitative relationship connecting the node voltage deviation, network power loss and compensating voltage is analysed. The optimal control model, including the power loss and load node voltage, is constructed. Then an improved DE algorithm is proposed to solve the optimal model, which combines the standard DE approach with the simulated annealing and adaptive mutation operator method. The optimal control model can be solved effectively by the improved algorithm. A simulation model is developed based on the IEEE 33 standard distribution network with DG. Simulation results confirm the validity of the optimal control model and the advantages of the improved DE algorithm.

    Original languageEnglish
    JournalInternational Transactions on Electrical Energy Systems
    Early online date4 Jul 2017
    DOIs
    Publication statusPublished - 2017

    Keywords

    • Active distribution network
    • Improved differential evolution algorithm
    • Optimal voltage control
    • Series compensation

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