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    KCI등재 SCOPUS

    ESS 연계형 태양광발전 예측오차에 따른 용량요금 지급을 고려한 수익 최적화 방안 연구: 국내 ESS 연계형 태양광발전 사례를 중심으로 = Profit Maximization Strategy Considering the Capacity Payment to a Photovoltaic Power Plant with an Energy Storage System According to the Forecast Error: Focusing on Korean Case

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    https://www.riss.kr/link?id=A108078348

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    Distributed energy resources can be aggregated for the purpose of enhancing the visibility in distribution grids and trading power on electricity markets. Although aggregated resources can bid their available capacity into the market in a similar way to conventional generators, their available capacity has low reliability due to uncertainty of these resources. Adequate policies for aggregated resources are needed to support investment in distributed energy industries and to manage the electricity market risk resulted in the unreliable capacity. In this study, we propose a profit maximization strategy for a photovoltaic power plant with an energy storage system. The electricity market model considers the electricity market design for aggregated resources in South Korea. The penalties for forecast error are proposed to mitigate imbalances of the available capacity. The effects of proposed method are evaluated in comparison with the conventional settlement process of aggregated resources
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    Distributed energy resources can be aggregated for the purpose of enhancing the visibility in distribution grids and trading power on electricity markets. Although aggregated resources can bid their available capacity into the market in a similar way ...

    Distributed energy resources can be aggregated for the purpose of enhancing the visibility in distribution grids and trading power on electricity markets. Although aggregated resources can bid their available capacity into the market in a similar way to conventional generators, their available capacity has low reliability due to uncertainty of these resources. Adequate policies for aggregated resources are needed to support investment in distributed energy industries and to manage the electricity market risk resulted in the unreliable capacity. In this study, we propose a profit maximization strategy for a photovoltaic power plant with an energy storage system. The electricity market model considers the electricity market design for aggregated resources in South Korea. The penalties for forecast error are proposed to mitigate imbalances of the available capacity. The effects of proposed method are evaluated in comparison with the conventional settlement process of aggregated resources

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    참고문헌 (Reference)

    1 최어진 ; 김종규 ; 한혜승 ; 김승완, "최소 출력변동성을 갖는 가상발전소 구성을 위한 분산형 재생에너지원의 최적 조합 방법" 대한전기학회 69 (69): 1866-1872, 2020

    2 김대욱 ; 김광인 ; 조성봉 ; 최우진, "우리나라 전력시장의 용량요금제도 개선방안에 관한 연구" 재단법인 에너지경제연구원 14 (14): 293-318, 2015

    3 곽규형 ; 김태현 ; 신한솔 ; 김수영 ; 김욱, "신재생에너지 공급인증서 의 한계비용 추정에 관한 연구" 대한전기학회 69 (69): 1183-1192, 2020

    4 주용진 ; 신주곤 ; 서동균 ; 박세익, "신재생발전 확대적용을 위한 ESS와 천연가스발전기의 경제성 평가" 한국수소및신에너지학회 29 (29): 363-369, 2018

    5 백천현, "국내 풍력발전 설비의 이용률과 용량크레딧 분석" 한국태양에너지학회 39 (39): 79-91, 2019

    6 Koraki, D., "Wind and Solar Power Integration in Electricity Markets and Distribution Networks Through Service-Centric Virtual Power Plants" 33 (33): 473-485, 2018

    7 Naval, N., "Virtual power plant models and electricity markets-A review" 149 : 111393-, 2021

    8 Park, Y. -S., "Urgent need to improve the electricity market operation to mitigate the output control for renewable energy" 15 (15): 8-13, 2021

    9 Yavuz, L., "Transformation of microgrid to virtual power plant – a comprehensive review" 13 (13): 1994-2005, 2019

    10 Söder, L,, "Review of wind generation within adequacy calculations and capacity markets for different power systems" 119 : 109540-, 2020

    1 최어진 ; 김종규 ; 한혜승 ; 김승완, "최소 출력변동성을 갖는 가상발전소 구성을 위한 분산형 재생에너지원의 최적 조합 방법" 대한전기학회 69 (69): 1866-1872, 2020

    2 김대욱 ; 김광인 ; 조성봉 ; 최우진, "우리나라 전력시장의 용량요금제도 개선방안에 관한 연구" 재단법인 에너지경제연구원 14 (14): 293-318, 2015

    3 곽규형 ; 김태현 ; 신한솔 ; 김수영 ; 김욱, "신재생에너지 공급인증서 의 한계비용 추정에 관한 연구" 대한전기학회 69 (69): 1183-1192, 2020

    4 주용진 ; 신주곤 ; 서동균 ; 박세익, "신재생발전 확대적용을 위한 ESS와 천연가스발전기의 경제성 평가" 한국수소및신에너지학회 29 (29): 363-369, 2018

    5 백천현, "국내 풍력발전 설비의 이용률과 용량크레딧 분석" 한국태양에너지학회 39 (39): 79-91, 2019

    6 Koraki, D., "Wind and Solar Power Integration in Electricity Markets and Distribution Networks Through Service-Centric Virtual Power Plants" 33 (33): 473-485, 2018

    7 Naval, N., "Virtual power plant models and electricity markets-A review" 149 : 111393-, 2021

    8 Park, Y. -S., "Urgent need to improve the electricity market operation to mitigate the output control for renewable energy" 15 (15): 8-13, 2021

    9 Yavuz, L., "Transformation of microgrid to virtual power plant – a comprehensive review" 13 (13): 1994-2005, 2019

    10 Söder, L,, "Review of wind generation within adequacy calculations and capacity markets for different power systems" 119 : 109540-, 2020

    11 Tang, W., "Optimal Operation and Bidding Strategy of a Virtual Power Plant Integrated With Energy Storage Systems and Elasticity Demand Response" 7 : 79798-79809, 2019

    12 Lago, J., "Optimal Control Strategies for Seasonal Thermal Energy Storage Systems With Market Interaction, IEEE Transactions on Control Systems Technology" 29 (29): 1891-1906, 2021

    13 Ko. W, "Operation Strategy for Maximizing Revenue of an Energy Storage System with a Photovoltaic Power Plant Considering the Incentive for Forecast Accuracy in South Korea" 9 : 71184-71193, 2021

    14 Song, J. -H., "Introduction of the capacity payment system for expanding the photovoltaic generation market" 4 (4): 35-41, 2018

    15 Schneider, I., "Energy Market Design for Renewable Resources : Imbalance Settlements and Efficiency–Robustness Tradeoffs" 33 (33): 3757-3767, 2018

    16 Shamsi, M., "A Prediction Market Trading Strategy to Hedge Financial Risks of Wind Power Producers in Electricity Markets" 36 (36): 4513-4523, 2021

    17 Nguyen, H. T., "A Bidding Strategy for Virtual Power Plants With the Intraday Demand Response Exchange Market Using the Stochastic Programming" 54 (54): 3044-3055, 2018

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    학술지 이력

    학술지 이력
    연월일 이력구분 이력상세 등재구분
    2023 평가 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
    2020-01-01 등재 등재학술지 유지 (해외등재 학술지 평가) KCI등재
    2010-01-01 등재 등재학술지 유지 (등재유지) KCI등재
    2007-01-01 등재 학술지 통합 (기타) KCI등재
    2001-01-01 등재 등재학술지 유지 (등재유지) KCI등재
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    학술지 인용정보

    학술지 인용정보
    기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
    2016 0.27 0.27 0.24
    KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
    0.21 0.19 0.366 0.08
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