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리튬 배터리의 열화를 고려한 태양광 연계 에너지저장장치의 최적 용량 계산을 위한 알고리즘 제안
신훈영(Hunyoung Shin) 대한전기학회 2019 전기학회논문지 Vol.68 No.6
There is growing interest in utilizing energy storage systems (ESS) to create combined “renewable energy plus storage” power plant. Lithium-ion battery based ESS draws much attention due to its high energy density and low self-discharge. Since Lithium-ion batteries are still costly, a power provider should determine ESS capacity in a sophisticate manner to secure profitability. Moreover, as Lithium-ion batteries are subject to degradation, this also needs to be considered in ESS capacity calculation. However, the degradation varies depending on the battery usage patterns and time and thus results in non-convexity in ESS capacity calculation. In this paper, we propose an iterative method to calculate the proper capacity of ESS paired with a PV system by considering battery degradation and profit maximization. ESS capacity calculation according to PV system size and economic evaluation according to REC weight change are conducted based on the case study of South Korea power market.
국내외 RE100 운영현황 분석 및 국내 RE100 활성화를 위한 방안
신훈영(Hunyoung Shin),박종배(Jong-Bae Park) 대한전기학회 2021 전기학회논문지 Vol.70 No.11
The RE100 (Renewable Energy 100%) campaign is a voluntary initiative at the private level to procure 100% of a company"s electricity consumption with renewable energy. Although multiple companies in South Korea have announced their participation in RE100, the number of participating companies is still very limited compared to other developed countries for both regulatory and economical reasons. In this study, we analyze various renewable energy purchasing methods for participating in RE100 and demonstrate that power purchase agreements (PPAs) are the most efficient method for achieving the national renewable energy target in South Korea. Afterward we suggest the economical and regulatory prerequisites that should be prepared for the activation of PPAs.
C-Vine Copula 기반의 풍력 발전 투입을 위한 확률론적 조류 계산
이륜경(Ryungyeong Lee),신훈영(Hunyoung Shin) 대한전기학회 2022 전기학회논문지 Vol.71 No.1
Owing to the increase in renewable energy, the power system is exposed to more variability and uncertainty, which increases the difficulty in analyzing the power systems. Thus, an accurate power system analysis considering the stochastic characteristics of renewable energy is required. In this paper, we propose a Monte-Carlo based probabilistic load flow method that takes into account the statistical dependencies between the power generation from the multiple wind sites. To this end, the vine copula method was employed to capture their dependencies and the marginal distribution of the power generation from the multiple wind sites is modeled using a 3-parameter Weibull distribution. In addition, we suggested the chance-constrained optimization problem for properly allocating a target wind power capacity to the buses. From the numerical experiment conducted on the IEEE 39-bus system, it has been demonstrated that the proposed method can more accurately identify the potential risk with the modeling of the dependencies between the power generation from the multiple wind sites as compared to the deterministic approach or probabilistic load flow based on the random sampling method.