摘要
Abstract
The short-term environmental economic hydrothermal scheduling（EEHS） problem was formulated as a single objective problem using the proposed iterative price penalty factor at first.Second,in order to solve the difficult problem of handling water discharge rate limits,water dynamic balance constraint and reservoir storage volume limits at the same time which is caused by the time-coupled and space-related characteristics of the multi-chain cascaded hydropower stations,the heuristic constraint handling strategies were given.Not only the complicated constraints are satisfied,but also the search for optimal solutions is more conducive.The simulation was carried out on a hydrothermal system（including a multi-chain cascade of four hydro plants and three thermal plants） with the total capacity of 2 975 MW.The results not only show the feasibility and effectiveness of the heuristic constraints handling strategies,but also comparing with algorithms of evolutionary programming（EP） and differential evolution（DE）,the daily fuel cost is reduced by 4 303.96 $,1 311.96 $,respectively,and the daily emission is decreased by 8 231.37 lb,1 522.37 lb,respectively.关键词
发电调度/水火电系统/环境经济调度/启发式方法/费用惩罚系数Key words
power generation scheduling/hydrothermal power systems/environmental economic scheduling/heuristic strategy/price penalty factor分类
信息技术与安全科学
