Prediction and assessment of demand response potential with coupon incentives in highly renewable power systems  

作　　者：Hao Ming Bainan Xia Ki-Yeob Lee Adekunle Adepoju Srinivas Shakkottai Le Xie 

机构地区：[1]Electric Reliability Council of Texas,800 Airport Rd,Taylor,TX 78664,USA [2]Intellectual Ventures,Bellevue,WA,USA [3]Department of Electrical and Computer Engineering,Texas A&M University,College Station,TX,USA

出　　处：《Protection and Control of Modern Power Systems》2020年第1期124-137,共14页现代电力系统保护与控制（英文）

基　　金：This work was supported in part by NSF CyberSEES-1331863,ECCS-1546682,NSF grants CNS-1149458,AST-1443891,EFRI-1440969,CCF-1331863,IIS-1636772;NSF Science&Technology Center Grant CCF-0939370;Electric Reliability Council of Texas(ERCOT),and the Power Systems Engineering Research Center.

摘　　要：Demand Response(DR)provides both operational and financial benefits to a variety of stakeholders in the power system.For example,in the deregulated market operated by the Electric Reliability Council of Texas(ERCOT),load serving entities(LSEs)usually purchase electricity from the wholesale market(either in day-ahead or real-time market)and sign fixed retail price contracts with their end-consumers.Therefore,incentivizing end-consumers’load shift from peak to off-peak hours could benefit the LSE in terms of reducing its purchase of electricity under high prices from the real-time market.As the first-of-its-kind implementation of Coupon Incentive-based Demand Response(CIDR),the EnergyCoupon project provides end-consumers with dynamic time-of-use DR event announcements,individualized load reduction targets with EnergyCoupons as the incentive for meeting these targets,as well as periodic lotteries using these coupons as lottery tickets for winning dollar-value gifts.A number of methodologies are developed for this special type of DR program including price/baseline prediction,individualized target setting and a lottery mechanism.This paper summarizes the methodologies,design,critical findings,as well as the potential generalization of such an experiment.Comparison of the EnergyCoupon with a conventional Time-of-Use(TOU)price-based DR program is also conducted.Experimental results in the year 2017 show that by combining dynamic coupon offers with periodic lotteries,the effective cost for demand response providers in EnergyCoupon can be substantially reduced,while achieving a similar level of demand reduction as conventional DR programs.

关 键 词：EnergyCoupon Incentive-based demand response Critical peak pricing Electricity market Prospect theory 

分 类 号：F42[经济管理—产业经济]