• 대한전기학회:학술대회논문집
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• 대한전기학회 2008년도 추계학술대회 논문집 전력기술부문
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• pp.16-18
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• 2008

Because of being environmentally friendly, renewable energy resources has been growing at a high rate. Wind energy is one of the most successfully utilized of such sources for producing electrical energy. Due to the randomness of wind speed, wind farms can not supply power with a balanceable level as well as conventional power plants. The reliability evaluation of wind power is more and more important. Capacity credit is used to estimate the capacity credit of power systems including wind farms. This paper presents a method of capacity credit calculation for a power system considered wind farms and shows how it gets study on an actual power system (the Jeju Island power system). The paper describes the step of capacity credit calculation and presents test results, which indicate its effectiveness.

• 전기학회논문지
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• 제65권6호
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• pp.923-933
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• 2016

This paper proposes a new method for evaluating Effective Load Carrying Capability(ELCC) and capacity credit(C.C.) of power system including Wind Turbine Generator(WTG) combined with Battery Energy Storage System(BESS). WTG can only generate electricity power when the fuel(wind) is available. Because of fluctuation of wind speed, WTG generates intermittent power. In view point of reliability of power system, intermittent power of WTG is similar with probabilistic characteristics based on power on-off due to mechanical availability of conventional generator. Therefore, high penetration of WTG will occur difficulties in power operation. The high penetration of numerous and large capacity WTG can make risk to power system adequacy, quality and stability. Therefore, the penetration of WTG is limited in the world. In recent, it is expected that BESS installed at wind farms may smooth the wind power fluctuation. This study develops a new method to assess how much is penetration of WTG able to extended when Wind Turbine Generator(WTG) is combined with Battery Energy Storage System(BESS). In this paper, the assessment equation of capacity credit of WTG combined with BESS is formulated newly. The simulation program, is called GNRL_ESS, is developed in this study. This paper demonstrates a various case studies of ELCC and capacity credit(C.C.) of power system containing WTG combined with BESS using model system as similar as Jeju island power system. The case studies demonstrate that not only reasonable BESS capacity for a WTG but also permissible penetration percent of WTG combined with BESS and reasonable WTG capacity for a BESS can be decided.

• Journal of Electrical Engineering and Technology
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• 제10권5호
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• pp.1930-1939
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• 2015

Wind power planning aims to locate and size wind farms optimally. Traditionally, wind power planners tend to choose the wind farms with the richest wind resources to maximize the energy benefit. However, the capacity benefit of wind power should also be considered in large-scale clustered wind farm planning because the correlation among the wind farms exerts an obvious influence on the capacity benefit brought about by the combined wind power. This paper proposes a planning model considering both the energy and the capacity benefit of the wind farms. The capacity benefit is evaluated by the wind power capacity credit. The Ordinal Optimization (OO) Theory, capable of handling problems with non-analytical forms, is applied to address the model. To verify the feasibility and advantages of the model, the proposed model is compared with a widely used genetic algorithm (GA) via a modified IEEE RTS-79 system and the real world case of Ningxia, China. The results show that the diversity of the wind farm enhances the capacity credit of wind power.

• 한국태양에너지학회 논문집
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• 제37권5호
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• pp.13-26
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• 2017

Solar power is expected to account for a considerable proportion of domestic renewable energy compared to other renewable energy sources. In this study, capacity credits, which are the most important factors for evaluating the effective capacity of photovoltaic power, are estimated by capacity factor-based approximation method. To do this, we use the data of solar power generation and capacity over many years and calculate the capacity factors of the domestic solar power. The results of the existing methods and ours proposed in this paper are compared and analyzed.

• 한국태양에너지학회 논문집
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• 제39권4호
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• pp.79-91
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• 2019

The capacity credit (CC) is a key metric for mid- to long-term power system capacity planning. The purpose of this study is to estimate the CCs of domestic wind turbines. Based on hourly capacity factor (CF) data during the seven years from 2011 to 2017, the new so-called probabilistic CF scheme is introduced to effectively reflect the variability of CFs on CC estimation. The CCs are then estimated through the CF-based method and the ELCC (Effective Load Carrying Capability) method reflecting the probabilistic CF scheme, and the results are compared. The results show that the CC value 0.019 for domestic wind turbines proposed in the $8^{th}$ Basic Plan for Electricity Supply and Demand corresponds to the CC with a confidence level slightly lower than 95%.

• 아태비즈니스연구
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• 제2권2호
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• pp.61-78
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• 2011

Credit derivative is one kind of arrangement which allows one party to transfer, for a premium, the defined credit risk, computed with reference to a notional value, of a reference asset which may or may not owned by one or more other parties. Credit Default Swaps(CDS) have existed since the early 1990s, but its use has become increasingly popular over time. CDS is the fastest growing segment of the privately negotiated derivatives business as many firms depend on it to efficiently manage the financial market risks inherent in economic activities. The diversification function is especially important for active CDS market participants as banks. CDS banks can achieve their loan portfolio diversification which provides them with increased capacity to expand their lending.

• 한국태양에너지학회 논문집
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• 제38권1호
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• pp.13-24
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• 2018

As part of the "Carbon free Island 2030" policy, the local government of Jeju Island is currently working to reduce carbon through renewable energy supply. However, renewable energy is difficult to predict due to intermittent characteristics. If the share of renewable energy increase, it is difficult to plan of supply of electricity to grid due to that characteristic of renewable. In this paper analyze the fluctuation rate and the capacity credit of wind power and PV to find out how much wind power and PV contribute to supply of electricity of power system in Jeju. As a result mean value of variation rate of wind power and PV is about 3%, 5% and capacity credit is about 10% and 2% respectively.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년도 제37회 하계학술대회 논문집 B
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• pp.1175-1176
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• 2006

본 논문은 신재생에너지 발전전원 중 단속적 특성이 강한 풍력발전 전원의 용량가치 평가방법에 관한 것이다. 풍력발전의 설비가치는 확률론적 접근방법과 용량률에 의한 결정론적 접근방법을 사용할 수 있으며 미국의 주요 산정방법을 살펴보고 국내 적용가능한 대안을 수립한다. 풍력발전의 설비가치를 실효성있게 산정하기 위해서는 관련자료의 확보가 우선되어야 하나 국내의 자료확보체계 및 그 기간이 짧은 관계로 용량률에 근거한 단순기법이 실효성이 있을 것으로 판단된다.

• The Journal of Asian Finance, Economics and Business
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• 제8권7호
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• pp.31-42
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• 2021

This study aims to determine the relation between the real sector and the financial sector in underdeveloped areas in Nusa Tenggara, Indonesia. To facilitate understanding of these linkages, researchers use the logic of credit channel mechanism of monetary policy, financial intermediation, as well as supply leading and demand following theories. The research variables include economic growth, inflation, liquidity, and NPL at the provincial level, with a data sample from 2008 to 2019. This research uses VAR/VECM as the analysis tools. The findings of the long-term analysis in East Nusa Tenggara show there is a phenomenon of cost-push inflation as well as the negative relation between inflation and economic growth. The impact of liquidity on inflation is positive, while the impact of economic growth on inflation is negative. Meanwhile, in West Nusa Tenggara, the impact of economic growth on inflation is positive. On the other hand, the impact of liquidity and NPL on inflation and economic growth is negative. In conclusion, generally, the economy in West Nusa Tenggara is better than the East Nusa Tenggara. The key to improving the economy of Nusa Tenggara is by improving its liquidity. This can be done by increasing the volume of public savings to increase bank credit capacity.

• 한국정보통신학회논문지
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• 제24권4호
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• pp.515-521
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• 2020

최근 데이터 트래픽은 다양한 산업 발전으로 인해 폭발적으로 증가하여 기존 네트워크의 효율성 감소, 과부화 등의 문제를 야기한다. 이러한 문제를 해결하기 위해 가상화 기법을 이용하며 다양한 서비스에 최적화된 네트워크를 제공하는 네트워크 슬라이싱이 주목받고 있다. 본 논문에서는 credit value를 이용하여 자원할당을 하는 방안에 대해 제안한다. 기존 클러스터링 기법을 이용한 방안에서는 다양한 서비스에 대한 할당 요청이 들어올 때마다 클러스터 선정하기 위한 연산이 수행된다. 반면에 제안 방안에서는 클러스터의 잔여 사용량과 balancing을 이용하여 credit value를 설정하여 클러스터 선정에 필요한 연산을 수행하지 않고 slice request를 처리할 수 있도록 하였다. 제안 방안을 검증하기 위해 processing time과 balancing simulation을 진행하였다. 그 결과, 제안된 방안의 processing time 및 오차율은 clustering 기법만 사용한 방안보다 각각 약 13.72%, 약 7.96% 감소하였다.