摘要
针对居民家庭生活能耗占比高、碳排放量基数大、用电分散性与随机性明显的问题,为进一步发掘居民用户的节能降碳潜力,引导其规模有序地参与电力需求响应,提出了价格信号与积分制联合激励下考虑消费舒适度的居民用户需求响应优化策略。首先,分析价格-积分联合激励的运营架构,构建考虑居民用电消费心理学的行为不确定性模型。其次,提出价格-积分联合激励量化模型与积分激励兑换策略,结合家用电器运行特征,构建居民柔性负荷的积分激励数学模型。进而,考虑居民用电量、时间与温度多元舒适度,构建计及消费舒适度与边界效用递减效应的居民用户需求响应多目标优化模型。最后,以我国北方某社区某个居民家庭负荷为例进行仿真计算,结果表明,所提模型能在保障居民电力消费舒适度的前提下,降低日电费支出18.21%,相比于其他两种策略,在负荷电量转移率、居民负荷峰值削减量方面的优势更为显著。
Aiming at the problems of the high proportion of residential households energy consumption,the large base of carbon emission,and the obvious decentralization and randomness of electricity consumption,a demand response optimization strategy for residential customers considering their consumption comfort under the joint price signal and the score incentive is proposed in order to further explore the energy saving and carbon reduction potentials of the residential customers and guide them to participate in the electricity demand response in an orderly manner.Firstly,the operational structure of the price-score joint incentive is analyzed,and a behavioral uncertainty model is constructed taking into account the psychology of residential electricity consumption;secondly,a quantitative model of the joint price-score incentive and a score incentive redemption strategy are proposed.The mathematical model of the score incentive for the residential flexible load is constructed with the operational characteristics of the household appliances;furthermore,a multi-objective optimization model of residential customers’demand response is constructed taking into account the comfort of consumption and the effect of border utility diminishing by considering the multiple comforts of the amount,time and temperature of the residential electricity consumption.Finally,simulation calculations are carried out on a certain residential household in a community in northern China. The results show that the proposed model is able to reduce the daily electricity bill by 18.21% while safeguarding the comfort of residents’ electricityconsumption. The advantages of the proposed model in terms of load power transfer rate and peak residential load reductionare more significant than the other two strategies.
作者
戴逢哲
姜飞
陈磊
吴永飞
魏文
张开元
孟亦超
何桂雄
DAI Fengzhe;JIANG Fei;CHEN Lei;WU Yongfei;WEI Wen;ZHANG Kaiyuan;MENG Yichao;HE Guixiong(School of Electrical and Information Engineering,Changsha University of Science&Technology,Changsha 410076,Hunan Province,China;School of Electronics Engineering and Computer Science,Peking University,Haidian District,Beijing 100871,China;China Electric Power Research Institute,Haidian District,Beijing 100192,China)
出处
《电网技术》
EI
CSCD
北大核心
2024年第2期819-829,共11页
Power System Technology
基金
国家自然科学基金项目(52377166)
国家社会科学基金项目(22CJY064)。
关键词
电力积分
联合激励
柔性负荷
需求响应
多目标优化
power score
joint incentive
flexible load
demand response
multi-objective optimization
