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Journal of Advances in Economics and Finance
JAEF > Volume 4, Number 3, August 2019

Economic Dispatch of Power System with Wind Power and Energy Storage Based on Discrete Particle Swarm Optimization

Download PDF  (441.6 KB)PP. 91-97,  Pub. Date:June 12, 2019
DOI: 10.22606/jaef.2019.43001

Author(s)
Qiongjie Dai
Affiliation(s)
School of Mathematics and Computer Engineering, Ordos Institute of Technology, Ordos, Inner Mongolia, China
Abstract
In order to solve the economic dispatch problem of power system with wind power and energy storage, the discrete particle swarm optimization (DPSO) algorithm is used to establish the economic dispatch model of power system with wind farm based on chance constrained programming. Discrete particle swarm optimization (DPSO) is used to calculate the minimum generation cost of power system. In the calculation process, the processing constraints of engine group and climbing power are taken into account. In order to verify the effectiveness of the discrete ion algorithm, another algorithm is added to compare. The results show that at the same confidence level, the expected minimum generation cost obtained by the discrete particle swarm optimization (DPSO) algorithm is small, and the time consumed is short. It is a fast search algorithm with good performance.
Keywords
Discrete particle swarm optimization, power system, economic dispatch
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