期刊论文

Optimization Strategy of Residential Demand Response Considering Consumption Comfort Under Price-score Joint Incentive

中文

电网技术

1000-3673

2024

48

2

819-829,中插72-中插75

10.13335/j.1000-3673.pst.2023.0973

本校为第一机构

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...

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 t...