Probabilistic Load Flow Solution Considering Optimal Allocation of SVC in Radial Distribution System

  1. Walaa Ahme 1
  2. Ali Selim 2
  3. Salah Kamel 1
  4. Juan Yu 3
  5. Francisco Jurado 2
  1. 1 Aswan University
    info

    Aswan University

    Asuán, Egipto

    ROR https://ror.org/048qnr849

  2. 2 Universidad de Jaén
    info

    Universidad de Jaén

    Jaén, España

    ROR https://ror.org/0122p5f64

  3. 3 Chongqing University
    info

    Chongqing University

    Chongqing, China

    ROR https://ror.org/023rhb549

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Journal:
IJIMAI

ISSN: 1989-1660

Year of publication: 2018

Volume: 5

Issue: 3

Pages: 152-161

Type: Article

DOI: 10.9781/IJIMAI.2018.11.001 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

More publications in: IJIMAI

Abstract

This paper proposes a solution procedure for probabilistic load flow problem considering the optimal allocation of Static Var Compensator (SVC) in radial distribution systems. Pareto Envelope-based Selection Algorithm II (PESA-II) with fuzzy logic decision maker is developed to determine the optimal location and size of SVC based on the minimum total power losses and Voltage Deviation (VD). Combined cumulants and gram-chalier expansion are used for solving the probabilistic load flow problem. The proposed algorithm is tested on 33- bus and 69-bus distribution systems. The developed algorithm gives an acceptable solution with low number of iterations and less computation cost compared with the Monte Carlo method.

Data source: Dialnet