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      • KCI등재

        ESS 연계형 태양광발전 예측오차에 따른 용량요금 지급을 고려한 수익 최적화 방안 연구: 국내 ESS 연계형 태양광발전 사례를 중심으로

        ,최형진 대한전기학회 2022 전기학회논문지 Vol.71 No.4

        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

      • KCI등재

        국내 전력시장에서 매집된 분산형전원의 이용률 기반 용량요금계수 적용 여부에 따른 분산형전원 사업자 수익 변화에 관한 연구

        ,차성현 대한전기학회 2022 전기학회논문지 Vol.71 No.12

        The aggregated resources can be expected to get settlement for a power generation and a capacity in a similar way to conventional generators. The capacity in particular is settled based on the available capacity estimated by forecasting power in the day-ahead of the operating day. The aggregated resources have low reliability of the available capacity due to uncertainty of them. With the unreliable capacity, the issue of unequal capacity payment related to aggregated resources can be caused. In this study, we analyze the variation of profit for distributed energy resources aggregators considering the capacity coefficient based on the capacity factor of aggregated resources in Korean electricity market. The capacity coefficient is calculated by the ratio of the amount of power generation to the amount of resource capacity. The effects of proposed method are evaluated in comparison with the results represented in the conventional settlement case, the proposed case, and the no capacity payment case.

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