基于双碳目标的家庭错峰用电调度策略研究  

Research on household off-peak electricity consumption scheduling strategy based on carbon peaking and carbon neutrality goals

作　　者：王锋 宋惠宇 张欣欣 WANG Feng;SONG Huiyu;ZHANG Xinxin(Jiangmen Power Supply Bureau,Guangdong Power Grid Co.,Ltd.,Jiangmen 529000,Guangdong,China)

机构地区：[1]广东电网有限责任公司江门供电局,广东江门529000

出　　处：《电测与仪表》2024年第12期212-218,共7页Electrical Measurement & Instrumentation

基　　金：中国南方电网有限责任公司科技项目(030700KK52220032)。

摘　　要：针对“双碳”目标背景下家庭能源管理主要面临的用电成本和负荷峰谷差较高等问题,提出了基于多目标优化的电网需求侧家庭用电调度策略。基于错峰用电机制,以电能花费最低、舒适度最优、碳排放量最低为目标,构建了电网需求侧家庭用电优化调度模型。进一步,结合改进的第三代非支配调度遗传算法和多目标粒子群算法,提出了一种混合求解算法用于家庭用电优化调度。算例分析表明,所提方法能较好的兼顾用电经济、舒适度和环保三者的平衡。且与常规方法相比,所提方法在保证用电舒适性的同时,能够有效降低用电峰谷差,达到降低用电量和碳排放的目的。In view of the main problems faced by household energy management in the context of the carbon peaking and carbon neutrality goals,such as high electricity costs and load peak-valley differences,a grid demand-side household power dispatching strategy based on multi-objective optimization is proposed.Based on the peak-shifting power consumption mechanism,with the goals of lowest power consumption,optimal comfort,and lowest carbon emissions,an optimal dispatching model for household power consumption on the demand side of the power grid is constructed.Furthermore,combining the improved third-generation non-dominated scheduling genetic algorithm and the multi-objective particle swarm algorithm,a hybrid solution algorithm is proposed for optimal scheduling of household electricity.The example analysis results show that the proposed method can better balance the three aspects of electricity economy,comfort and environmental protection.Compared with conventional methods,the proposed method can effectively reduce the peak-valley differences in electricity consumption while ensuring the comfort of electricity consumption,thereby achieving the purpose of reducing electricity consumption and carbon emissions.

关 键 词：“双碳”目标 家庭错峰用电 多目标优化调度 混合求解算法 削峰填谷 

分 类 号：TM71[电气工程—电力系统及自动化]