| 引用本文: | 陈璐,徐青山,杨永标,杨斌.促进削峰填谷的居民实时积分套餐优化设计[J].电力自动化设备,2020,40(7): |
| CHEN Lu,XU Qingshan,YANG Yongbiao,YANG Bin.Optimization design of residents’ real-time score plan for promoting peak-load shifting[J].Electric Power Automation Equipment,2020,40(7): |
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| 摘要: |
| 在新一轮电力改革背景下，以积分为载体，提出了一种促进削峰填谷的居民实时积分套餐，初探电力销售端的居民侧市场化交易模式。首先，设计了促进削峰填谷的居民实时积分套餐机制，在用电低谷时段引入正积分鼓励居民多用电，在用电高峰时段利用负积分引导居民少用电，并基于消费者心理学，建立了基于实时积分套餐的居民负荷响应不确定性模型；然后，基于效用最大化原则，提出了兼顾电量峰谷差下降率和激励成本的居民实时积分套餐优化模型，并采用拉丁超立方采样方法和遗传算法相结合的方法进行求解；最后，设计了居民实时积分套餐实施架构及模式。算例结果表明，实时积分套餐能够很好地适应居民用电特点，激发居民群体的互动潜力，为居民参与电力市场交易提供支撑。 |
| 关键词: 削峰填谷 实时积分 需求响应 价格激励 实施模式 |
| DOI：10.16081/j.epae.202005006 |
| 分类号:TM732;F407.61 |
| 基金项目:国家重点研发计划项目(2016YFB0901100)；国家自然科学基金资助项目(51577028)；东南大学卓越引智计划专项资金资助项目 |
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| Optimization design of residents’ real-time score plan for promoting peak-load shifting |
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CHEN Lu1, XU Qingshan1, YANG Yongbiao1, YANG Bin2
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1.School of Electrical Engineering, Southeast University, Nanjing 210096, China;2.State Grid Jiangsu Electric Power Co.,Ltd.,Nanjing 210028, China
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| Abstract: |
| Under the background of a new round of electricity market reform, a residents’ real-time score plan for promoting peak-load shifting is put forward to make preliminary discussion on the residential side market trading mode of electricity sales. Firstly, the mechanism of residents’ real-time score plan is designed to promote peak-load shifting. In the valley-load periods, positive scores are introduced to encourage residents to use more electricity, while in the peak-load periods, negative scores are used to guide residents to use less electricity. On the basis of consumer psychology, the uncertainty model of residential load response based on the real-time score plan is established. Then, based on the principle of utility maximization, the optimization model of residents’ real-time score plan is proposed, which takes both the decreasing rate of peak-valley electricity difference and incentive cost into account, and is solved by the combination method of Latin hypercube sampling method and genetic algorithm. Finally, the implementation architecture and mode of the proposed real-time score plan are designed. The example results show that the real-time score plan can adapt to the electricity consumption characteristics of residents well, and stimulate the interactive potential of resident community, providing support for residents to participate in the electricity market tran-sactions in the future. |
| Key words: peak-load shifting real-time score demand response price incentive implementation mode |
