摘要
提出物理合同模式下梯级水电厂日前交易电量优化的数学模型,目标函数是梯级总收入最大化,采用逐步优化算法,能够同时进行合同电量和竞价电量的优化分配,为梯级水电厂联合报价和电量申报提供参考。实例应用表明了方法的可行性。
This paper addresses the self-scheduling of a hydro power generating company in the power market based on contract and bidding model. This company comprises several cascaded hydropower plants along a river basin. The objective is to maximize the profit of the company from selling energy in the day-ahead power market. This problem is solved by a progressive optimality algorithm which is able to optimally distribute the contract and bidding power. Finally, a case study is analyzed in details.
出处
《水力发电学报》
EI
CSCD
北大核心
2006年第4期16-19,共4页
Journal of Hydroelectric Engineering
基金
国家自然科学基金项目(50539140)
关键词
电力市场
水电
优化算法
power market
hydroelectric power
progressive optimality algorithms
