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- Title
基于改进粒子群算法的梯级水风光短期调峰优化调度.
- Authors
张艳华; 黄静梅; 黄景光; 邓逸天; 李振兴
- Abstract
In view of the negative impact of large-scale wind power and photovoltaics directly integrated into the power grid on peak shaving of the system, accompanied by the problems of high wind abandonment and high abandonment rate, a joint peak shaving solution was proposed to combine a cascade hydropower station in Hubei with nearby wind farms and a photovoltaic field into the power grid by using the hydropower output channel. Firstly, the necessity and feasibility of joint dispatch of cascade hydropower stations, wind power and photovoltaics were analyzed, and the cascade water-wind-light joint peak shaving strategy was proposed. A short-term dispatch model with the minimum mean square error of the system remaining load as the objective function was constructed. Finally, the shrinkage factor and improved particle swarm algorithm optimization were used to solve the problem. Through the simulation, the wind and solar power stations and the cascade hydropower stations jointly participate in the peak shaving of the system, the peak shaving effect is better. The improved particle swarm optimization (PSO) has better optimization accuracy and convergence speed. It provides a reference for implementing the combined peak shaving strategy of the cascade hydropower station with surrounding wind and photovoltaic field in the future.
- Publication
Science Technology & Engineering, 2022, Vol 22, Issue 12, p4993
- ISSN
1671-1815
- Publication type
Article