可再生能源2017，Vol.35Issue(4)：528-534,7.
峰谷电价下新能源省际购电优化模型
The inter provincial new energy purchasing optimization model under peak-valley price
摘要
Abstract
With the rapid development of new energy power generation,the consumptive problem has become increasingly prominent.The peak-valley price can stimulate the demand side peak potential,increase the capacity of new energy acceptance in a provincial power grid,and promote external clean electric energy transactions.In consideration of the peak regulation and reserve constraint in provincial power grid,inter provincial electricity purchasing optimization model which aims at maximizing economic benefit under peak-valley price was established.The model was solved by means of quantum behaved particle swarm optimization.Numerical examples show that reasonable external power purchase scheme can not only reduce abandoned wind in large energy base,replace high consumption power with wind power so as to reduce carbon emission and save energy,but can reduce the cost of the provincial power grid,increase economic benefits.The influence on external power transaction of different purchase schemes and prices of external power were compared to demonstrate the effectiveness of the proposed model.关键词
峰谷电价/省际购电优化/新能源/量子粒子群优化算法Key words
peak-valley price/inter provincial power purchase optimization/new energy/quantum behaved particle swarm optimization algorithm分类
能源科技引用本文复制引用
虞思敏,温步瀛,王良缘..峰谷电价下新能源省际购电优化模型[J].可再生能源,2017,35(4):528-534,7.基金项目
福建省自然科学基金项目(2013J01176). （2013J01176）
