摘要
针对综合能源系统规划面临可再生能源波动性强、出力不确定性等问题,文章提出了一种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方法。首先,运用拉丁超立方抽样生成基础风、光场景集,并基于改进的k-means算法进行场景削减;其次,以运行成本最低、碳减排最优、污染物减排最优构建多目标优化模型;最后,提出系统容量-成本两阶段规划优化求解策略,并选取南方某商业园区进行规划仿真。仿真结果表明,文章所构建的综合能源系统两阶段规划模型能够在保证系统经济性的同时兼顾环保性,并满足用户多种用能需求。
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.
作者
王永利
滕越
袁博
窦真兰
张春雁
孙沛
Wang Yongli;Teng Yue;Yuan Bo;Dou Zhenlan;Zhang Chunyan;Sun Pei(School of Economics and Management,North China Electric Power University,Beijing 102206,China;State Grid Shanghai Municipal Electric Power Company,Shanghai 200023,China)
出处
《可再生能源》
CAS
CSCD
北大核心
2024年第4期513-521,共9页
Renewable Energy Resources
基金
国家电网总部科技项目(52094021N011)。
关键词
综合能源系统
风光不确定性
场景削减
两阶段规划
integrated energy system
uncertainty of wind and solar energy output
scenario reduction
two-stage planning
