考虑源荷互动的微电网容量配置双层优化模型  

A dual-layer optimization model for capacity configuration in microgrids considering source-load interactions

作　　者：许雨玲 王磊 江伟建 周俊平 XU Yuling;WANG Lei;JIANG Weijian;ZHOU Junping(College of Electrical Engineering,Shanghai University of Electric Power,Shanghai 200090,China;State Grid Jiaxing Power Supply Company,Jiaxing,Zhejiang 314000,China)

机构地区：[1]上海电力大学电气工程学院,上海200090 [2]国网浙江省电力有限公司嘉兴供电公司,浙江嘉兴314000

出　　处：《浙江电力》2024年第4期29-39,共11页Zhejiang Electric Power

基　　金：国家自然科学基金资助项目(61873159);上海绿色能源并网工程技术研究中心资助项目(13DZ2251900)。

摘　　要：“双碳”战略背景下,针对微电网风光储容量优化配置问题,提出了微电网容量配置双层优化模型。以规划的微电网寿命周期内净收益最高为目标函数,微电网电源侧考虑限制碳排放配额和变电容量,从而减少主网购电,降低系统碳排放水平;负荷侧引入需求响应,通过分时电价引导用户改变用电方式,优化负荷曲线,提高微电网经济效益。采用非线性规划工具lingo分别对双层优化模型求解。通过算例对比分析不同可转移、可卸载负荷占比和不同碳排放配额、变电容量限制下的各项规划结果,验证了该模型的有效性。In the context of the“dual carbon”strategy,this paper addresses the optimization of wind-solar-energy storage capacity configuration in microgrids by proposing a dual-layer optimization model.With the overarching ob⁃jective of maximizing net profit throughout the microgrid's planned lifecycle and considerations related to constraints on carbon emission quotas and transformer capacity on the source side,the model aims to reduce electricity purchas⁃ing of main grid and lower the overall carbon footprint of the system.On the load side,demand response is intro⁃duced,and users are guided to modify their electricity consumption patterns under time-of-use pricing,leading to an optimized load curve and improved economic efficiency for the microgrid.The dual-layer optimization model is solved using LINGO,a nonlinear programming tool.Through case studies,the planning outcomes considering differ⁃ent proportions of transferable and unloadable loads,as well as varying constraints on carbon emission quotas and transformer capacities.The results demonstrate the effectiveness of the proposed model.

关 键 词：微电网 双层优化 需求响应 变电容量 碳排放配额 

分 类 号：TM73[电气工程—电力系统及自动化]