OPTIMAL REACTIVE POWER DISPATCH IN ACTIVE DISTRIBUTION POWER SYSTEMS USING GREY WOLF OPTIMIZER

UNIVERSITY POLITEHNICA OF BUCHAREST SCIENTIFIC BULLETIN SERIES C-ELECTRICAL ENGINEERING AND COMPUTER SCIENCE(2022)

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摘要
The aim of the article is to implement and test the Grey Wolf Optimizer (GWO) for identifying the optimal reactive power dispatch (ORPD) in an active distribution network. The optimization problem is a multi-objective one consisting in keeping minimum power losses, while maintaining bus voltages close to their rated value. The performances of the GWO are evaluated through a comparative study between three meta heuristic algorithms - GWO, Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The study is conducted on the test network IEEE 33, modified by integrating some distributed generation (DG) and capacitor banks (CBs).
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关键词
optimal reactive power dispatch, active distribution systems, distributed generation, meta heuristic algorithms
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