The server is under maintenance between 08:00 to 12:00 (GMT+08:00), and please visit later.
We apologize for any inconvenience caused
Login  | Sign Up  |  Oriprobe Inc. Feed
China/Asia On Demand
Journal Articles
Bookmark and Share
feng guang chu lian he fa dian xi tong ri yun xing ji hua zhi ding fang fa yan jiu
Pages: 1107-1110
Year: Issue:  7
Journal: East China Electric Power

Keyword:  HPWSdaily generation schedulingparticle swarm optimization(PSO)energy storage batterycharging and discharging optimization;
Abstract: The research on the daily generation scheduling method was based on the national demonstration HPWS project in China.The model was solved by using particle swarm optimization(PSO) algorithm,and the charging and discharging optimization method for storage battery was proposed to improve charging current and efficiency,enhance compensation effect of energy storage system,and prolong its service life.Calculation example shows that the proposed model is effective and feasible,and can formulate daily generation scheduling accurately.
Related Articles
No related articles found