多信息特征粒子群优化算法的动态经济负荷分配

doi:10.16182/j.issn1004731x.joss.201709038

系统仿真学报 ›› 2017, Vol. 29 ›› Issue (9): 2159-2167.doi: 10.16182/j.issn1004731x.joss.201709038

多信息特征粒子群优化算法的动态经济负荷分配

黄松¹, 王艳¹, 纪志成^1,2

1.江南大学物联网工程学院,无锡 214122;
2.江南大学物联网技术应用教育部工程研究中心,无锡 214122

收稿日期:2017-05-19 发布日期:2020-06-02
作者简介:黄松(1984-),男,湖北随州,博士生,研究方向为电机与智能控制;王艳(1978-),女,江苏盐城,博士后,教授,研究方向为网络化控制系统,制造系统能效优化。
基金资助:
国家自然科学基金(61572238),江苏省杰出青年基金(BK20160001)

Study of Dynamic Economic Load Dispatch Using Particle Swarm Optimization with Multi-information Characteristics

Huang Song¹, Wang Yan¹, Ji Zhicheng^1,2

1. School of Internet of Things Engineering, Jiangnan University, Wuxi 214122, China;
2. Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China

Received:2017-05-19 Published:2020-06-02

摘要/Abstract

摘要： 根据发电系统的特点,考虑多燃料和24 h预测负荷需求数据,建立了一种动态经济负荷分配的优化模型,提出了一种基于个体最优位置的多信息特征粒子群优化算法求解该问题。定义了质心位置和中值位置,采用了由个体最优位置,质心位置和中值位置构成新的速度更新公式。减少了求解复杂优化问题时的早熟现象,能够有效地解决求解动态经济负荷分配问题。通过对算例DED1的实验仿真,表明该算法能够有效求解DED问题,具有更好的优化性能。

关键词: 粒子群优化算法, 经济负荷分配, 信息特征, 电力系统

Abstract: According to the characteristics of power system, an model of dynamic economic load dispatch based on multiple fuel resources and 24-hour forecasting load demand was established, and a particle swarm optimizer using multi-information characteristics of all personal-best information was proposed to solve it. In the algorithm, centroid position and median position were defined, and then the personal-best position, centroid position and median position was developed to modify the velocity update formula. The algorithm could reduce the premature phenomenon for solving complex optimization problems, and it could make effectively solve dynamic economic load dispatch. The simulation was conducted to optimize DED1 instance, and the results show that the algorithm can effectively solve the problem and has a better performance.

Key words: particle swarm optimization, economic load dispatch, information characteristics, power system

中图分类号:

TP18
TM85

黄松, 王艳, 纪志成. 多信息特征粒子群优化算法的动态经济负荷分配[J]. 系统仿真学报, 2017, 29(9): 2159-2167.

Huang Song, Wang Yan, Ji Zhicheng. Study of Dynamic Economic Load Dispatch Using Particle Swarm Optimization with Multi-information Characteristics[J]. Journal of System Simulation, 2017, 29(9): 2159-2167.

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多信息特征粒子群优化算法的动态经济负荷分配

Study of Dynamic Economic Load Dispatch Using Particle Swarm Optimization with Multi-information Characteristics

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