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      KCI등재 SCIE SCOPUS

      A Coordinated Performance of Power System Operated with Participants in Demand Response Programs Considering Environmental Pollution Constraints

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      https://www.riss.kr/link?id=A107226900

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      다국어 초록 (Multilingual Abstract)

      In a re-structured environment, demand response (DR) programs are presented in a new style. The demand response program consists of demand-side management methods which answers to electricity price variations. With advent of electricity markets, the d...

      In a re-structured environment, demand response (DR) programs are presented in a new style. The demand response program consists of demand-side management methods which answers to electricity price variations. With advent of electricity markets, the demand-side management programs was introduced into two categories: (1) energy effi ciency program, (2) demand response program. This paper studies engagement of participants load in an electricity market having a grid with large and small loads interested to participate in the market, energy storage systems, micro-grids, and distributed generations. In the proposed scheme, it is supposed to have an aggregator which sends demand-side preferences including load curtailment, load shifting, onsite generation, and energy storage systems along with proposed value and prices and all respective system constraints to the independent system operator (ISO). In fact, load aggregators submit aggregated DR off ers to the ISO in order to optimize fi nal decisions on aggregators’ DR contributions in wholesale market. The main goal of this paper is to solve the operation problem considering demand-side, system, and pollution and reliability constraints. Compared to other methods, the results indicate that the explicit modeling of customer DR would provide ISOs with more fl exible options for scheduling the available energy resources in day-ahead energy markets.

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      참고문헌 (Reference)

      1 Mizutani F, "The eff ect of demand response on electricity consumption under the existence of the reference price eff ect : Evidence from a dynamic pricing experiment in Japan" 31 (31): 16-22, 2018

      2 Grigg C, "The IEEE reliability test system-1996. A report prepared by the reliability test system task force of the application of probability methods subcommittee" 14 (14): 1010-1020, 1999

      3 Wellinghoff J, "Recognizing the importance of demand response : the second half of the wholesale electric market equation" 28 (28): 389-419, 2007

      4 Mirzaei SMH, "Performance improvement of distribution networks using the demand response resources" 13 (13): 4171-4179, 2019

      5 "Participating Load Technical Standard"

      6 "PJM economic load response program, Pennsylvania-New Jersey-Maryland (PJM) interconnection"

      7 Parvania M, "Optimal demand response aggregation in wholesale electricity markets" 4 (4): 1957-1965, 2013

      8 Nojavan S, "Optimal bidding strategy of electricity retailers using robust optimisation approach considering time-of-use rate demand response programs under market price uncertainties" 9 (9): 328-338, 2015

      9 "No, FO, 745, Demand response compensation in organized wholesale energy markets"

      10 Shahidehpour M, "Market operations in electric power systems" Wiley 2002

      1 Mizutani F, "The eff ect of demand response on electricity consumption under the existence of the reference price eff ect : Evidence from a dynamic pricing experiment in Japan" 31 (31): 16-22, 2018

      2 Grigg C, "The IEEE reliability test system-1996. A report prepared by the reliability test system task force of the application of probability methods subcommittee" 14 (14): 1010-1020, 1999

      3 Wellinghoff J, "Recognizing the importance of demand response : the second half of the wholesale electric market equation" 28 (28): 389-419, 2007

      4 Mirzaei SMH, "Performance improvement of distribution networks using the demand response resources" 13 (13): 4171-4179, 2019

      5 "Participating Load Technical Standard"

      6 "PJM economic load response program, Pennsylvania-New Jersey-Maryland (PJM) interconnection"

      7 Parvania M, "Optimal demand response aggregation in wholesale electricity markets" 4 (4): 1957-1965, 2013

      8 Nojavan S, "Optimal bidding strategy of electricity retailers using robust optimisation approach considering time-of-use rate demand response programs under market price uncertainties" 9 (9): 328-338, 2015

      9 "No, FO, 745, Demand response compensation in organized wholesale energy markets"

      10 Shahidehpour M, "Market operations in electric power systems" Wiley 2002

      11 Bai L, "Interval optimization based operating strategy for gas-electricity integrated energy systems considering demand response and wind uncertainty" 167 : 270-279, 2016

      12 Qaderi-Baban P, "Intelligent multi-agent system for DC microgrid energy coordination control" 67 (67): 741-748, 2019

      13 Parvania M, "Integrating load reduction into wholesale energy market with application to wind power integration" 6 (6): 35-45, 2012

      14 Xi Y, "Integrated fl exible resources and energy markets in the danishmulti-energy system" 1-5, 2019

      15 England IN, "ISO New England Load Response Program"

      16 North America energy standard bureau (NAESB), "Framework for integrated demand response (DR) and distributed energy resources (DER)models, 12th, Nov. 2009"

      17 Federal Energy Regulation Commission, "FERC Order No. 719: Wholesale Competition in Regions with Organized Electric Markets"

      18 Eyer J, "Energy storage for the electricity grid:Benefi ts and market potential assessment guide; a study for the DOE energy storage systems program" Sandia National Laboratories 2010

      19 Zakeri B, "Electrical energy storage systems : a comparative life cycle cost analysis" 42 : 569-596, 2015

      20 Parvania M, "Demand response scheduling by stochastic SCUC" 1 (1): 89-98, 2010

      21 Rahimi F, "Demand response as a market resource under the smart grid paradigm" 1 (1): 82-88, 2010

      22 Operations NAM, "Day-ahead demand response program manual"

      23 Kang J, "Data-driven prediction of load curtailment in incentive-based demand response system" 11 (11): 1-14, 2018

      24 Cplex, "Cplex, I. I, 12.2 User’s Manual" ILOG

      25 David AK, "Consumer rationality assumptions in the real-time pricing of electricity" 139 (139): 315-322, 1992

      26 "Assessment LTR"

      27 Ghazvini MAF, "A multi-objective model for scheduling of short-term incentive-based demand response programs off ered by electricity retailers" 151 : 102-118, 2015

      28 Rahmani R, "A distributed control architecture for autonomous operation of a hybrid AC/DC microgrid system" 50 (50): 25-32, 2018

      29 Chasparis GC, "A cooperative demand-response framework for day-ahead optimization in battery pools" 2 (2): 1-, 2019

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      학술지등록 한글명 : Journal of Electrical Engineering & Technology(JEET)
      외국어명 : Journal of Electrical Engineering & Technology
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2011-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2006-01-01 평가 학술지 통합 (기타) KCI등재
      2006-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.45 0.21 0.39
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.37 0.34 0.372 0.04
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