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Information Journal Paper

Title

A NEW APPROACH FOR OPTIMAL ALLOCATION OF DG IN DISTRIBUTION SYSTEMS USING GA METHOD

Pages

  79-90

Keywords

DISTRIBUTED GENERATION (DG)Q1
GENETIC ALGORITHM (GA)Q2

Abstract

 In placing Distributed Generation (DG) sources in DISTRIBUTION NETWORKS, a wide range of operational and security issues needs to be considered. Many indices are employed to evaluate the optimum DG placement. Aggregation of indices to obtain a multi-objective index capable of optimizing several weighting factors is a common practice in industry. In this paper, Genetic Algorithm (GA) is successfully used to identify the weighting factors in multi-objective performance index for both IEEE 33-bus and IEEE 69-bus test systems, where DG is extensively located and sized. The multi-objective performance index is computed for each configuration, yielding encouraging simulation results for application of the proposed method in power system optimal placement and sizing of DG.

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    APA: Copy

    TAHER, S.A., SHEIBANI, M.R., NOSRATABADI, S.M., & JADIDOLESLAM, M.. (2011). A NEW APPROACH FOR OPTIMAL ALLOCATION OF DG IN DISTRIBUTION SYSTEMS USING GA METHOD. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), 2(3), 79-90. SID. https://sid.ir/paper/203132/en

    Vancouver: Copy

    TAHER S.A., SHEIBANI M.R., NOSRATABADI S.M., JADIDOLESLAM M.. A NEW APPROACH FOR OPTIMAL ALLOCATION OF DG IN DISTRIBUTION SYSTEMS USING GA METHOD. COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING)[Internet]. 2011;2(3):79-90. Available from: https://sid.ir/paper/203132/en

    IEEE: Copy

    S.A. TAHER, M.R. SHEIBANI, S.M. NOSRATABADI, and M. JADIDOLESLAM, “A NEW APPROACH FOR OPTIMAL ALLOCATION OF DG IN DISTRIBUTION SYSTEMS USING GA METHOD,” COMPUTATIONAL INTELLIGENCE IN ELECTRICAL ENGINEERING (INTELLIGENT SYSTEMS IN ELECTRICAL ENGINEERING), vol. 2, no. 3, pp. 79–90, 2011, [Online]. Available: https://sid.ir/paper/203132/en

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