Active Power Loss Diminution by Greenland Wolf Optimization Algorithm

Document Type: Research Paper

Author

pvpsit

10.22105/jarie.2020.229824.1162

Abstract

Greenland Wolf Optimization (GW) algorithm applied to solve the optimal reactive power problem. The key objective is to reduce the real power loss. Natural actions of the Greenland wolf have been mimicked to design the GW algorithm. Greenland wolf found in North West of green land and typical size of the pack is three. Arctic hares, musk oxen and lemmings are main prey for green land wolf and they migrate with respect to availability of food resources. Through flag vector, position, and velocity updating property Exploration, Exploitation capability of the algorithm has been enhanced. Proposed Greenland wolf optimization (GW) algorithm has been tested in standard IEEE 118 bus test system and results show the best performance of the GW algorithm in reducing the real power loss efficiently.

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Articles in Press, Accepted Manuscript
Available Online from 01 July 2020
  • Receive Date: 04 May 2020
  • Revise Date: 01 July 2020
  • Accept Date: 01 July 2020