Oriented Search Algorithm for Reactive Power Optimization

Xuexia ZHANG

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DOI:                 

Abstract

This paper presents a novel algorithm, oriented search algorithm (OSA), for reactive power optimization of power system. OSA, the search-individual simulates human behavior as well as the search-object (the optimal solution of the objective function) works like an intelligent agent that can transmit oriented information to search-individuals, models the communication between search-individuals and the search-object. In order to verify the efficiency of the proposed algorithm, OSA is tested on IEEE 57-bus and IEEE 118-bus power systems. The numerical results are compared with comprehensive learning particle swarm optimizer (CLPSO) and adaptive genetic algorithm (AGA). The results show that OSA could find high-quality solutions with more reliability and efficiency than other algorithms. Moreover, active power losses are decreased obviously.

Keywords

oriented search algorithm, reactive power optimization, power system

Conflicts of Interest

The authors declare no conflicts of interest.

References