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

doi:10.16182/j.issn1004731x.joss.201709038

Abstract

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

CLC Number:

TP18
TM85

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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