摘要
经济调度优化关乎电厂的经济效益,为此,提出基于改进粒子群算法的燃煤电厂经济调度自适应优化方法,旨在最大化电厂经济效益、最小化发电成本,并设定相关约束条件,通过自适应调整粒子群算法参数,改进算法迭代求解模型,获得最优经济调度策略。实际应用显示,该方法有效提升了电厂经济收益,减少了污染物排放,具有良好的优化效果。
Economic scheduling optimization is related to the economic benefits of power plants,so an adaptive optimization method for economic scheduling of coal-fired power plants based on improved particle swarm optimization is proposed.In order to maximize the economic benefit of power plant and minimize the power generation cost,and set relevant constraints,the parameters of particle swarm optimization algorithm were adjusted adaptively,the iterative solving model was improved,and the optimal economic scheduling strategy was obtained.The practical application shows that this method can effectively improve the economic income of power plant,reduce the emission of pollutants,and has a good optimization effect.
作者
陈利
李华东
李志勇
CHEN Li;LI Huadong;LI Zhiyong(Jilin Songhuajiang Thermal Power Co.,Ltd.,Jilin,Jilin 132002,China)
出处
《自动化应用》
2024年第20期151-152,158,共3页
Automation Application
关键词
改进粒子群算法
燃煤电厂
经济调度
自适应优化
improved particle swarm algorithm
coal-fired power plant
economic dispatching
adaptive optimization
