{"title":"Coupon-Based Demand Response for Consumers Facing Flat-Rate Retail Pricing","authors":"Hongxun Hui;Yi Ding;Kaining Luan;Tao Chen;Yonghua Song;Saifur Rahman","doi":"10.17775/CSEEJPES.2021.05140","DOIUrl":null,"url":null,"abstract":"Even though smart meters have been widely used in power systems around the world, many consumers are still finding it hard to participate in demand response (DR) due to flat-rate retail pricing policy. To address this issue, this paper proposes a coupon-based demand response (CDR) scheme to achieve equivalent dynamic retail prices to inspire consumers' inherent elasticity. First, a security-constrained unit commitment optimization model is developed in the day-ahead market to obtain coupon rewards, which are then broadcast to consumers to motivate them to reschedule their power consumption behaviors. To evaluate the adjustment value of consumers' power consumption, a collective utility function is proposed to formulate the relationship between power quantity and coupon rewards. On this basis, the security-constrained economic dispatch model is developed in the intra-day market to reschedule generating units' output power according to real-time load demands and fluctuating renewable energies. After the operation interval, a settlement method is developed to quantify consumers' electricity fees and coupon benefits on a monthly basis. The proposed CDR scheme avoids real-time iterative bidding process and effectively decreases the difficulty of massive, small consumers participating in DR. The proposed CDR is implemented in a realistic DR project in China to verify consumers' energy cost and renewables' curtailment can both be decreased.","PeriodicalId":10729,"journal":{"name":"CSEE Journal of Power and Energy Systems","volume":"10 5","pages":"1887-1900"},"PeriodicalIF":6.9000,"publicationDate":"2023-04-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10106189","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"CSEE Journal of Power and Energy Systems","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10106189/","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
引用次数: 0
Abstract
Even though smart meters have been widely used in power systems around the world, many consumers are still finding it hard to participate in demand response (DR) due to flat-rate retail pricing policy. To address this issue, this paper proposes a coupon-based demand response (CDR) scheme to achieve equivalent dynamic retail prices to inspire consumers' inherent elasticity. First, a security-constrained unit commitment optimization model is developed in the day-ahead market to obtain coupon rewards, which are then broadcast to consumers to motivate them to reschedule their power consumption behaviors. To evaluate the adjustment value of consumers' power consumption, a collective utility function is proposed to formulate the relationship between power quantity and coupon rewards. On this basis, the security-constrained economic dispatch model is developed in the intra-day market to reschedule generating units' output power according to real-time load demands and fluctuating renewable energies. After the operation interval, a settlement method is developed to quantify consumers' electricity fees and coupon benefits on a monthly basis. The proposed CDR scheme avoids real-time iterative bidding process and effectively decreases the difficulty of massive, small consumers participating in DR. The proposed CDR is implemented in a realistic DR project in China to verify consumers' energy cost and renewables' curtailment can both be decreased.
尽管智能电表已在全球电力系统中得到广泛应用,但由于统一的零售价格政策,许多消费者仍难以参与需求响应(DR)。为解决这一问题,本文提出了一种基于优惠券的需求响应(CDR)方案,以实现等效的动态零售价格,从而激发消费者的内在弹性。首先,在日前市场中建立了一个安全受限的单位承诺优化模型,以获得优惠券奖励,然后将其广播给消费者,激励他们重新安排用电行为。为了评估用户用电量的调整值,提出了一个集体效用函数来表述电量与优惠券奖励之间的关系。在此基础上,建立了日内市场的安全约束经济调度模型,根据实时负荷需求和波动的可再生能源重新安排发电机组的输出功率。运行间隔结束后,开发一种结算方法,按月量化用户的电费和优惠券收益。所提出的 CDR 方案避免了实时迭代投标过程,有效降低了大量小用户参与 DR 的难度。所提出的 CDR 方案在中国的一个实际 DR 项目中得到了实施,验证了用户的用能成本和可再生能源削减量均可降低。
期刊介绍:
The CSEE Journal of Power and Energy Systems (JPES) is an international bimonthly journal published by the Chinese Society for Electrical Engineering (CSEE) in collaboration with CEPRI (China Electric Power Research Institute) and IEEE (The Institute of Electrical and Electronics Engineers) Inc. Indexed by SCI, Scopus, INSPEC, CSAD (Chinese Science Abstracts Database), DOAJ, and ProQuest, it serves as a platform for reporting cutting-edge theories, methods, technologies, and applications shaping the development of power systems in energy transition. The journal offers authors an international platform to enhance the reach and impact of their contributions.