一种改进型粒子群优化算法在电力系统经济负荷分配中的应用

吴辰斌; 李海明; 刘 栋; 吴正阳; 武 蕾

引用本文:	吴辰斌,李海明,刘栋,等.一种改进型粒子群优化算法在电力系统经济负荷分配中的应用[J].电力系统保护与控制,2016,44(10):44-48.
	WU Chenbin,LI Haiming,LIU Dong,et al.Application of improved particle swarm optimization algorithm to power system economic load dispatch[J].Power System Protection and Control,2016,44(10):44-48

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一种改进型粒子群优化算法在电力系统经济负荷分配中的应用
吴辰斌¹,李海明¹,刘栋²,吴正阳¹,武蕾¹
(1.上海电力学院，上海 200090;2.许继集团有限公司，河南许昌 461000)

摘要:

针对机组数不同的电力系统设计优化方案，提出将基于有效群体利用策略的粒子群算法应用到经济负荷分配问题的解决中。该改进算法通过有效改变粒子数目，并改进了速度位移方程，加快了算法的收敛速度，同时提高其收敛精度。为验证该算法的有效性，针对机组数不同的电力系统经济负荷分配进行了测试，并与其他优化算法进行了比对测试。结果证明了该算法可高效准确地找到最优解，有效避免了陷入局部最优的问题，并保证了较快的运行速度。

关键词: 经济负荷分配粒子群优化算法有效群体利用策略电力系统阀点效应

DOI：10.7667/PSPC151119

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基金项目:

Application of improved particle swarm optimization algorithm to power system economic load dispatch

WU Chenbin¹,LI Haiming¹,LIU Dong²,WU Zhengyang¹,WU Lei¹

(1. Shanghai University of Electric Power, Shanghai 200090, China; ;2. Xuji Group Corporation, Xuchang 461000, China)

Abstract:

The efficient population utilization strategy for particle swarm optimization (EPUSPSO) is proposed to solve the economic load dispatch (ELD) problem of power system with different units. This algorithm improves the accuracy and the speed of its convergence by changing the number of particles effectively and improving the velocity and position equation. To verify the effectiveness of the algorithm, this algorithm is tested in the ELD case of power system with different units, and the obtained results are compared with those obtained from other algorithms. The compared results show that the algorithm can find the optimal solution effectively and accurately, avoid falling into the local optimal problem; meanwhile, faster speed can be ensured in the case.

Key words: economic load dispatch particle swarm optimization efficient population utilization strategy power system valve point effect

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