• 대한전기학회:학술대회논문집
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• 대한전기학회 1998년도 하계학술대회 논문집 C
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• pp.1042-1045
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• 1998

The main purpose of HITES(Highly Integrate Total Energy System) is to build and develop an integrated energy system for power system operational planning and analysis which consists of load forecast, economic generation schedule, stability analysis and relational database system. The integrated energy system can be utilized to supply a stable electric power and operate KEPCO power system facilities economically. This system will be put into operation in 1999. This paper describes the main feature of the HITES, system main functions, numerical methods adopted this system, and network configuration.

• Journal of Electrical Engineering and Technology
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• 제12권3호
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• pp.989-995
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• 2017

As is known to all that the output of wind power generation has a character of randomness and volatility because of the influence of natural environment conditions. At present, the research of wind power prediction mainly focuses on point forecasting, which can hardly describe its uncertainty, leading to the fact that its application in practice is low. In this paper, a wind power range prediction model based on the multiple output property of BP neural network is built, and the optimization criterion considering the information of predicted intervals is proposed. Then, improved Particle Swarm Optimization (PSO) algorithm is used to optimize the model. The simulation results of a practical example show that the proposed wind power range prediction model can effectively forecast the output power interval, and provide power grid dispatcher with decision.

• 플랜트 저널
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• 제14권1호
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• pp.47-51
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• 2018

본 연구에서는 석탄화력발전의 출력 감소가 계통한계가격과 온실가스감축량에 어떻게 영향을 미치는지 분석하였다. 분석방법은 국영 발전회사에서 이용하는 전력거래예측프로그램을 이용하였으며 전력계통의 운영조건은 제7차 전력수급기본계획의 전력수요와 전원구성을 근거로 하였다. 분석결과 전체 석탄화력발전의 최대출력을 29 [%]까지 감소한 경우 계통한계가격은 감소전과 비교하여 12 [%p] 상승하고 온실가스 배출량은 9,966 [kton] 감축되었다. 또한 석탄화력발전기 전체 용량의 30 [%]에 해당하는 저효율 석탄화력발전기 16기를 정지한 경우 계통한계가격은 14 [%p] 까지 증가하였고 온실가스 배출량은 12,574[kton]까지 감축 가능함을 알 수 있었다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2001년도 춘계학술대회 논문집 전력기술부문
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• pp.326-329
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• 2001

The main purpose of HITES(Highly Integrated Total Energy System) is to build and develop an integrated energy system for power system operational planning and analysis which consists of load forecast, economic generation schedule, stability analysis and relational database system. The HITES can be utilized to supply a stable electric power and operate KEPCO's power system facilities economically. This system was put into operation in 1999. This paper describes the present condition for operation of HITES and proposes the plan to improve this system after installation.

• Journal of Electrical Engineering and Technology
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• 제10권4호
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• pp.1480-1491
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• 2015

In new deregulated electricity market, short-term price forecasting is key information for all market players. A better forecast of market-clearing price (MCP) helps market participants to strategically set up their bidding strategies for energy markets in the short-term. This paper presents a new prediction strategy to improve the need for more accurate short-term price forecasting tool at spot market using an artificial neural networks (ANNs). To build the forecasting ANN model, a three-layered feedforward neural network trained by the improved Levenberg-marquardt (LM) algorithm is used to forecast the locational marginal prices (LMPs). To accurately predict LMPs, actual power generation and load are considered as the input sets, and then the difference is used to predict price differences in the spot market. The proposed ANN model generalizes the relationship between the LMP in each area and the unconstrained MCP during the same period of time. The LMP calculation is iterated so that the capacity between the areas is maximized and the mechanism itself helps to relieve grid congestion. The addition of flow between the areas gives the LMPs a new equilibrium point, which is balanced when taking the transfer capacity into account, LMP forecasting is then possible. The proposed forecasting strategy is tested on the spot market of the Nord Pool. The validity, the efficiency, and effectiveness of the proposed approach are shown by comparing with time-series models

• 한국컴퓨터정보학회논문지
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• 제24권3호
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• pp.29-39
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• 2019

In this study, we introduce a model that satisfies energy efficiency and economical efficiency by introducing and demonstrating cogeneration generators in industrial complexes using various actual data collected at the site. The proposed model is composed of three scenarios, ie, full - time operation, scenario operated according to demand, and a fusion type. In this study, the power generation profit and surplus thermal energy are measured according to the operation of the generator, and the thermal energy is traded according to the demand of the customer to calculate the profit and loss including the heat and evaluate the economic efficiency. As a result of the study, it is relatively profitable to reduce the generation of the generator under the condition that the electricity rate is low and the gas rate is high, while the basic charge is not increased. On the contrary, if the electricity rate is high and the gas rate is low, The more you start up, the more profit you can see. These results show that even a cogeneration power plant with a low economic efficiency due to a low "spark spread" has sufficient economic value if it can sell more than a certain amount of heat energy from a nearby customer and adjust the applied power through peak management.

• 전기학회논문지
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• 제62권11호
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• pp.1495-1504
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• 2013

Renewable energy integration and increased system complexities make system operator maintain supply and demand balance harder than before. To keep the grid frequency in a stable range, an appropriate spinning reserve margin should be procured with consideration of ever-changing system situation, such as demand, wind power output and generator failure. This paper propose a novel concept of dynamic reserve, which arrange different spinning reserve margin depending on time. To investigate the effectiveness of the proposed dynamic reserve, we developed a new short-term reliability criterion that estimates the probability of a spinning reserve shortage events, thus indicating grid frequency stability. Uncertainties of demand forecast error, wind generation forecast error and generator failure have been modeled in probabilistic terms, and the proposed spinning reserve has been applied to generation scheduling. This approach has been tested on the modified IEEE 118-bus system with a wind farm. The results show that the required spinning reserve margin changes depending on the system situation of demand, wind generation and generator failure. Moreover the proposed approach could be utilized even in case of system configuration change, such as wind generation extension.

• 한국컴퓨터정보학회논문지
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• 제17권1호
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• pp.211-218
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• 2012

전 세계적으로 화석연료의 많이 사용이 증가되고 있으며 이로 인해 온실가스가 배출되어 지구 온난화와 환경오염이 심각해지고 있는 실정이다. 지구의 환경오염을 줄이기 위해서 무공해 청정에너지인 신재생에너지에 대한 관심이 증가되는 추세인데, 그중에서도 풍력발전은 환경오염 물질을 배출하지 않고, 자원량이 무한대이기 때문에 많은 관심을 받고 있다. 하지만, 풍력발전은 전력 생산량이 불규칙한 단점을 갖고 있어 풍력 터빈의 손상과 전력 생산량이 불규칙적인 문제를 야기하여 이러한 문제점을 보완하기 위해 풍력 발전량을 정확하게 예측하는 것이 중요하다. 풍력 발전량을 정확하게 예측하기 위해서 전력 생산량이 급증 또는 급감하는 것을 의미하는 ramp의 특성을 잘 활용해야 한다. 이 논문에서는 예측의 정확도를 높이기 위하여 다계층 신경망을 이용해 예측모델을 구축하였다. 구축된 예측모델은 흔히 사용되는 풍속, 풍향 속성뿐만 아니라 Power Ramp Rate(PRR) 속성까지 사용하였다. 구축된 풍력 발전량 예측모델은 앞서 말한 세 가지 속성을 모두 사용한 경우, 두 속성을 조합하여 사용한 경우 총 4가지 예측모델을 구축하였다. 구축된 4가지 예측모델을 성능평가 한 결과 PRR, 풍속, 풍향의 속성 모두를 사용한 예측모델의 예측 값이 풍력 터빈에서 관측된 관측 값에 가장 근접하였다. 그로 인해 PRR 속성을 사용하면 풍력 발전량의 예측 정확도를 향상 시킬 수 있었다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1999년도 하계학술대회 논문집 C
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• pp.1525-1525
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• 1999

The main purpose of HITES(Highly Integrated Total Energy System) is to build and develop an integrated energy system for power system operational planning and analysis which consists of load forecast, economic generation schedule, stability analysis and relational database system. The HITES can be utilized to supply a stable electric power and operate KEPCO's power system facilities economically. This system was put into operation in 1999. This paper describes the main feature of the HITES, main functions, numerical methods adopted in this system and network configuration.

• 플랜트 저널
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• 제17권4호
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• pp.41-52
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• 2021

본 연구에서는 태양광발전 출력 및 모듈온도 값을 기상청 데이터를 이용하여 예측해보고 실측 데이터와 날씨, 일사량, 주변온도, 풍속별로 비교 분석해보았다. 날씨별 예측정확도는 눈이 오거나, 새벽에 해무가 끼는 날의 데이터를 가장 많이 보유한 맑은날의 데이터의 예측정확도가 가장 낮았다. 일사량에 따른 모듈온도와 발전량의 예측정확도는 일사량이 커질수록 정확도가 떨어졌으며, 주변 온도에 따른 예측정확도는 모듈온도는 주변 온도가 커질수록, 발전량은 주변온도가 낮을수록 예측정확도가 떨어졌다. 풍속은 모듈온도와 발전량 모두 풍속이 높아질수록 예측정확도가 감소하였지만, 풍속이 영향 다른 기상조건에 의한 영향보다 미미하여 그 상관관계를 정의하기가 어려웠다.