摘要
针对风-光-抽水蓄能联合发电系统各部分出力不佳导致的收益不高问题,通过改进粒子群万有引力混合算法,将混沌算法、惯性权重和改进步长因子引入传统的粒子群万有引力算法,解决传统算法的寻优能力弱、精度不高的问题.将改进后的粒子群万有引力算法应用于实际工程算例当中,优化联合发电系统各部分的出力,进而得到最大经济效益.与粒子群算法、万有引力算法和未改进粒子群万有引力算法对比,结果表明,改进后的算法精度最佳,迭代数最少.优化后的联合发电系统各部分出力,所达到的经济效益最大.
Considering the wind-light-joint pumped storage power generation system low output due to the fact that each part is of low output,and to improve particle swarm gravitation hybrid algorithm,inertia weight and chaos algorithm were introduced into the traditional particle swarm algorithm of gravity.The capability and precision of the traditional algorithm optimization were Improved.precision is not high.The improved particle swarm gravitation algorithm is applied to a practical engineering example to optimize the output of each part of the co-generation system and obtain the maximum economic benefit.The results show that the improved algorithm has the best accuracy and the shortest iteration times.After the optimization of the output of each part of the joint generation system,the largest economic benefits were achieved.
作者
杨森
张青
高立艾
YANG Sen;ZHANG Qing;Gao Liai(College of Mechanical and Electrical Engineering, Hebei Agricultural University, Baoding 071001, China)
出处
《河北大学学报（自然科学版）》
CAS
北大核心
2021年第1期106-112,共7页
Journal of Hebei University(Natural Science Edition)
基金
河北省重点研发计划项目(20327307D)
河北省高等学校科学技术研究重点项目(ZD2020145)。
关键词
出力优化
混沌算法
惯性权重
步长因子
改进粒子群万有引力算法
output optimization
chaos algorithm
inertia weight
step factor
improved particle swarm gravity algorithm
