제주계통을 위한 신뢰성DR 프로그램 설계 방법에 대한 연구

위영민,김동관,정선호 대한전기학회 2022 전기학회논문지 Vol.71 No.10

As the penetration rate of PV and wind power generation increases, the reliability of the Jeju Island power system is threatened. If system operator can operate a reliability based Demand Response Program that can be operated separately from the main land system, it will help to secure the reliability of the Jeju Island power system. This paper presents the design method of the reliability based Demand Response Program which can be operated independently in the Jeju Island power system. As Jeju Island system has slight amount of industrial customer and large amount of tourism-related customer like accommodation facility while main land system has opposite configuration rate, demand curves of each system are different and must be treated seperatly. The proposed method includes a method of calculating the DR program operation time using the Jeju Island demand pattern analysis considering BTM distributed resources and the load forecasting model. The results of case studies prove the effectiveness of the proposed method. Estimated response time of each demand response which is result of simulation can decide register requirement of demand resource in Jeju Demand Response Program.

제주 계통 신재생 발전 자원의 유효 공급능력추정에 관한 연구

위영민 한국전기전자학회 2019 전기전자학회논문지 Vol.23 No.2

In the case of renewable generation resources, the supply capacity is determined by the climate and environmentfactors unlike the existing generators. Therefore, it is necessary to calculate the capacity vlaue for estimating thesupply capacity of renewable generation sources. In this paper, a case study on the estimation method of capacityvlaue of renewable generation resources and a verification using data of Jeju-Island power system are presented. Thispaper is different from the existing researches because of estimating the capacity value of renewable generationresources for the Jeju-Island power system, which has a high ratio of renewable generation 신재생 발전 자원의 경우 기존 설비와 다르게 기후 환경적 요소에 의해 공급능력이 결정되기 때문에 신재생 발전 자원의공급능력 산정을 위해 실효공급용량 계산이 필요하다. 본 연구에서는 신재생 발전 자원의 공급능력 추정 방법에 대한 국내ㆍ외 사례조사와 국내 제주 계통의 데이터를 이용한 검증 내용을 담고 있다. 본 논문은 신재생 발전 비율이 높은 제주계통을별도로 신재생 발전 자원의 실효 공급능력을 추정한 것으로 기존 국내 연구와 차별성이 있다.

펠레타이저 공정변수와 인공경량골재의 성형체와 소성체 물성과의 상관관계

위영민,이기강,Wie, Young-Min,Lee, Ki-Gang 한국세라믹학회 2007 한국세라믹학회지 Vol.44 No.10

For the manufacturing lightweight fine aggregate, clay and waste material was formed by pelletizer. The fine aggregate of 1-5 mm diameter was formed by diameter 76 cm pelletizer disc. Pelletization variables were : (1) pelletizer disc angle, (2) speed of revolution of pelletizer, (3) added pelletization time. Green and sintered aggregate were measured specific gravity, absorption rate and average size. The optimum condition were found that the pelletization variables were angle at $70^{\circ}$, speed of revolution of pelletizer at 23.2 rpm, and water/solid ratio at 1/5. At these conditions, it was formed that fine aggregate green whose average size was $2.0{\sim}3.35mm$. Specific gravity and average size are increased with low angle of disc and fast revolution speed of disc. Specific gravity and average size were not distinctly influenced by added pelletization time. Sintered aggregate was distinctly influenced by properties of green.

마이크로그리드 전력 거래를 위한 기준부하 추정 방법에 대한 연구

위영민,Wi, Young-Min 한국전기전자학회 2018 전기전자학회논문지 Vol.22 No.2

전력 시스템의 환경이 변화함에 따라 새로운 전기 에너지 시장에 대한 수요와 필요성이 증대되고 있다. 특히 수요반응 프로그램을 활용하여 전력 사용 효율을 높이기 위한 노력은 선진국에서 지속적으로 연구되고 있으며 실제 시장으로 운영되고 있다. 본 논문은 수요반응, 마이크로그리드 간 거래, P2P 전력 거래 등 새로운 전력 시장에서 요구되는 기준부하 추정 방법에 대한 연구를 담고 있다. 본 논문에서 제안하는 기준부하추정 방법은 마이크로그리드 수요자원에 대한 분석을 바탕으로 기준부하추정 알고리즘을 선택하게 하였으며, 실제 데이터를 활용하여 제안된 방법의 실효성을 입증하였다. As the environment of power systems changes, the demand and necessity for new electrical energy market are increasing. Especially, efforts to increase the efficiency of electric energy use by using demand response programs are being studied constantly in advanced countries and it is operated as a real market. This paper presents a study on the baseline load estimation required in the new power market, such as demand response, P2P electricity trading etc. The proposed method estimates the baeline load through analysis of the load pattern and verifies the effectiveness of the proposed method using actual data.

제주계통을 위한 재생에너지 발전 공급능력 산정 방법에 관한 연구

위영민 대한전기학회 2024 전기학회논문지 Vol.73 No.2

As the penetration rate of renewable energy resources increases, the estimation of the supply capability of renewable energy generators has become an important factor in power system planning and operation. This paper compares and analyzes the methods for estimating the supply capability of renewable energy generation, specifically the PPCF(Peak-Period Capacity Factor) and ELCC(Effective Load Carrying Capacity) methods, using the Jeju power system as a case study. It was found that the ELCC, which reflects the uncertainty of power generation facilities, provides a more conservative estimation of the supply capability of renewable energy generation compared to the PPCF. Furthermore, the study confirmed the influence of the output time difference among renewable energy generators on their supply capability. The results of this study are expected to be used as basic data for planning and operating the power systems in Jeju.

냉난방도일을 이용한 기준부하추정 방법에 관한 연구

위영민(Young-Min Wi) 대한전기학회 2017 전기학회논문지 Vol.66 No.5

Climate change and energy security are major factors for future national energy policy. To resolve these issues, many countries are focusing on creating new growth industries and energy services such as smartgrid, renewable energy, microgrid, energy management system, and peer to peer energy trading. The financial and economic evaluation of new energy services basically requires energy savings estimation technologies. This paper presents the baseline load estimation method, which is used to calculate energy savings resulted from participating in the new energy program, using moving average model with heating degree days (HDD) and cooling degree days (CDD) adjustment. To demonstrate the improvement of baseline load estimation accuracy, the proposed method is tested. The results of case studies are presented to show the effectiveness of the proposed baseline load estimation method.

온도변동성을 고려한 전력수요예측 기반의 확률론적 수요관리량 추정 방법

위영민(Young-Min Wi) 대한전기학회 2015 전기학회논문지 Vol.64 No.6

Demand side management (DSM) program has been frequently used for reducing the system peak load because it gives utilities and independent system operator (ISO) a convenient way to control and change amount of electric usage of end-use customer. Planning and operating methods are needed to efficiently manage a DSM program. This paper presents a planning method for DSM program. A planning method for DSM program should include an electric load forecasting, because this is the most important factor in determining how much to reduce electric load. In this paper, load forecasting with the temperature stochastic modeling and the sensitivity to temperature of the electric load is used for improving load forecasting accuracy. The proposed planning method can also estimate the required day, hour and total capacity of DSM program using Monte-Carlo simulation. The results of case studies are presented to show the effectiveness of the proposed planning method.

수요관리 프로그램 설계를 위한 확률론적 온도모델링 기반의 최대전력수요예측

위영민(Young-Min Wi) 대한전기학회 2014 대한전기학회 학술대회 논문집 Vol.2014 No.11

시계열 모델을 이용한 인센티브 기반 수요반응 프로그램 설계

위영민(Young-Min Wi),문국현(Guk-Hyun Moon),김민경(Min-Kyung Kim),주성관(Sung-Kwan Joo),오재철(Jae-Chul Oh) 대한전기학회 2010 대한전기학회 학술대회 논문집 Vol.2010 No.7

본 논문에서는 계통운영자 및 LA (Load Aggregator) 사업자가 수요반응 프로그램 상세 설계 시 필요한 수요반응 횟수와 수요반응Demand Response) 지속 시간 산정을 위한 알고리즘을 제시 하였다. 수요반응 프로그램 횟수와 지속 시간을 추정하기 위해 본 논문에서는 시계열 모델을 이용하여 최대 전력수요 예측을 진행하였고, 과거 부하지속곡선 (Load Duration Curve) 를 이용하여 수요반응 프로그램 설계 시 필요한 수요반응 횟수와 지속 시간을 추정하였다. 또한 제안된 방법을 국내 전력수요 데이터를 이용한 사례연구 수행 결과를 예시하였다.

특수일 최대 전력 수요 예측을 위한 결정계수를 사용한 데이터 마이닝

魏永民(Young-Min Wi),宋敬彬(Kyung-Bin Song),朱成官(Sung-Kwan Joo) 대한전기학회 2009 전기학회논문지 Vol.58 No.1

Short-term load forecasting (STLF) is an important task in power system planning and operation. Its accuracy affects the reliability and economic operation of power systems. STLF is to be classified into load forecasting for weekdays, weekends, and holidays. Due to the limited historical data available, it is more difficult to accurately forecast load for holidays than to forecast load for weekdays and weekends. It has been recognized that the forecasting errors for holidays are large compared with those for weekdays in Korea. This paper presents a polynomial regression with data mining technique to forecast load for holidays. In statistics, a polynomial is widely used in situations where the response is curvilinear, because even complex nonlinear relationships can be adequately modeled by polynomials over a reasonably small range of the dependent variables. In the paper, the coefficient of determination is proposed as a selection criterion for screening weekday data used in holiday load forecasting. A numerical example is presented to validate the effectiveness of the proposed holiday load forecasting method.