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基于萤火虫禁忌算法的考虑谐波污染的无功优化研究 被引量:1

Reactive Power Optimization Based on Glowworm Swarm Tabu Search Optimization and Considering Harmonic Pollution
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摘要 近年来,电力电子装置的广泛应用引起了谐波污染。如果直接对电力系统进行无功优化,将会引起谐波放大。针对这一问题,提出考虑谐波污染的无功优化的数学模型,首次将萤火虫禁忌算法(GSO/TS)运用到无功优化中。最后通过对IEEE30节点算例进行仿真分析,验证了可行性和优越性,在减小了网损和各次谐波畸变率的同时,提高了收敛速度和计算精度。 In recent years, power electronic devices are widely used and cause harmonic pollution. Optimizing directly on the power system reactive power will cause harmonic amplification problems. To this problem, proposed the mathematical model of reactive power optimization considering harmonic pollution, and applied GSO/TS to reactive power optimization for the first time. Finally, tested the feasibility and the superiority of this method by simulating IEEE 30-bus example. The results of the optimization show that this method reduces the network loss and all kinds of harmonic distortions, at the same time, it has a better convergence efficiency and a higher computational precision.
出处 《电气自动化》 2013年第1期55-57,共3页 Electrical Automation
关键词 萤火虫算法 禁忌搜索算法 谐波污染 谐波放大 无功优化 谐波畸变率 glowworm swarm optimization tabu search algorithm harmonic pollution harmonic amplification reactive power optimization harmonic distortion
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