摘要
针对可再生能源出力和多能负荷的不确定性,提出一种综合能源系统多目标鲁棒优化规划方法。结合综合能源系统结构,构建其规划优化模型,在碳中和背景下将全寿期年化总成本最小和碳排放量最小作为两个规划目标。通过对源荷两侧不确定性因素的刻画和对偶转换,建立综合能源系统多目标鲁棒优化规划模型,并融合启发式搜索和约束法的优点,提出基于拥挤度的约束生成算法,求解IES(Integrated Energy System)最优规划方案。算例结果证明了该规划方法的正确性和有效性。
A multi-objective robust optimization planning method for integrated energy systems is proposed to address uncertainties in renewable energy output and multi-energy loads.Based on the integrated energy system structure,a planning optimization model was formulated with two objectives under carbon neutrality:minimizing annualized total lifecycle costs and carbon emissions.By characterizing uncertainties on both the source and load sides through duality transformation,a multi-objective robust optimization model was established.A crowding degree-based constraint generation algorithm combining heuristic search and constraint methods was developed to solve the optimal planning scheme for IES.Case studies validate the correctness and effectiveness of the proposed method.
作者
梁涛
葛群
尹晓东
Liang Tao;Ge Qun;Yin Xiaodong(Shandong Electric Power Engineering Consulting Institute Co.,Ltd.,Jinan 250013,Shandong,China)
出处
《计算机应用与软件》
北大核心
2025年第8期115-124,共10页
Computer Applications and Software
基金
国家电力投资集团有限公司科技项目(KYTC2020ZH07)。
关键词
不确定性
综合能源系统
鲁棒优化
系统规划
Uncertainty
Integrated energy system
Robust optimization
System planning
