可再生能源2024，Vol.42Issue(4)：513-521,9.
考虑风光不确定性的综合能源系统容量-成本两阶段规划优化研究
Capacity-Cost two-stage planning optimization of integrated energy systems considering uncertainty of wind and solar energy output
摘要
Abstract
The integrated energy system(IES)planning and optimization faces multiple challenges such as high volatility of new energy sources and large uncertainty of output.In view of this,this paper proposes a two-stage capacity-cost planning and optimization method for integrated energy systems considering scenery uncertainty.Firstly,Latin hypercube sampling is applied to generate the base wind and solar scenarios set,and the scenarios are reduced based on the improved k-means algorithm.Secondly,a multi-objective optimization model is constructed with the lowest operating cost,optimal carbon emission reduction,and optimal pollutant emission reduction;finally,the system capacity-cost two-stage planning and optimization solution strategy is proposed,and a business park in the south is selected for the planning simulation.The simulation example shows that the two-stage planning model of integrated energy system constructed in this paper can ensure the economy of system and environmental protection at the same time,and meet the multiple energy demands of users.关键词
综合能源系统/风光不确定性/场景削减/两阶段规划Key words
integrated energy system/uncertainty of wind and solar energy output/scenario reduction/two-stage planning分类
能源与动力引用本文复制引用
王永利,滕越,袁博,窦真兰,张春雁,孙沛..考虑风光不确定性的综合能源系统容量-成本两阶段规划优化研究[J].可再生能源,2024,42(4):513-521,9.基金项目
国家电网总部科技项目(52094021N011). （52094021N011）
