Multi-objective dynamic VAR planning against short-term voltage instability using a decomposition-based evolutionary algorithm

Y. Xu, Z. Dong, K. Meng, W. Yao, R. Zhang, Kitpo Wong

    Research output: Contribution to journalArticle

    72 Citations (Scopus)

    Abstract

    © 2014 IEEE. Short-term voltage stability is an increasing concern in today's power systems due to the growing penetration of induction motors. This paper proposes a systematic method for optimal placement of dynamic VAR support against short-term voltage instability. The problem is formulated as a multi-objective optimization model minimizing two conflicting objectives: 1) the total investment cost and 2) the expected unacceptable short-term voltage performance subject to a set of probable contingencies. STATCOM is employed for its stronger dynamic VAR support capability. Indices for quantifying the short-term voltage stability and the related risk level are proposed for problem modeling. Candidate buses are selected based on the concept of trajectory sensitivity. Load dynamics are fully considered using a composite load model containing induction motor and other typical components. A relatively new and superior multi-objective evolutionary algorithm called MOEA/D is introduced and employed to find the Pareto optimal solutions of the model. The proposed method is verified on the New England 39-bus system using industry-grade models and simulation tool.
    Original languageEnglish
    Pages (from-to)2813-2822
    Number of pages10
    JournalIEEE Transactions on Power Systems
    Volume29
    Issue number6
    Early online date24 Mar 2014
    DOIs
    Publication statusPublished - Nov 2014

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