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A novel brainstorm based optimization method for optimum planning of reactive power with FACTS devices

Author

Listed:
  • Lalit Kumar

    (NIT Jamshedpur)

  • Sushil Kumar Gupta

    (NIT Jamshedpur)

  • Sanjay Kumar

    (NIT Jamshedpur)

Abstract

This paper presents a solution for planning of reactive power using a novel brainstorm optimization method with flexible alternating current transmission system (FACTS) devices. For shunt compensation static VAR compensator (SVC) and for series compensation thyristor-controlled series compensator (TCSC) are being used in this proposed work which is adapted into IEEE-14, IEEE-30 and IEEE-57 test bus system. The location for TCSC and SVC has been chosen by performing power flow analysis. In this paper brainstorm optimization algorithm (BSOA) is proposed to evaluate the optimal value of reactive VAR generation of generators, tap setting of transformers, and size of SVC and TCSC to reduce the active power loss as well as operating cost in the transmission network. The outcomes proposed by BSOA approach is obtained and compared with some other techniques like krill heard algorithm (KHA), symbiotic organisms search (SOS), particle swarm optimization (PSO), biogeography-based optimization (BBO) methods.

Suggested Citation

  • Lalit Kumar & Sushil Kumar Gupta & Sanjay Kumar, 2022. "A novel brainstorm based optimization method for optimum planning of reactive power with FACTS devices," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(6), pages 3062-3073, December.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:6:d:10.1007_s13198-022-01802-2
    DOI: 10.1007/s13198-022-01802-2
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    References listed on IDEAS

    as
    1. Yuhui Shi, 2011. "An Optimization Algorithm Based on Brainstorming Process," International Journal of Swarm Intelligence Research (IJSIR), IGI Global, vol. 2(4), pages 35-62, October.
    2. Lenin Kanagasabai, 2021. "Real power loss reduction by enhanced Apple Maggot optimization algorithm," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(6), pages 1385-1396, December.
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