• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 하계학술대회 논문집 A
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• pp.60-63
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• 2004

AGC is widely used to regulate the frequency of power systems. It is also used to control the frequency of Korean Power System. Control strategies depends on systems to which it is applied. Korean Power System consists of one control area and it has no tie-line. In this research, we have developed a simulation tool to confirm AGC dynamics. The developed tool has been verified by two-machine three-bus system. Moreover an AGC control strategy has been suggested to avoid contradiction with governor dynamics. Low pass filter with relatively long time constant showed good regulation performance. This simple strategy is expected to be applied to New EMS in KPX to get reasonable AGC regulation performance.

• Nuclear Engineering and Technology
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• 제51권6호
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• pp.1689-1695
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• 2019

This study suggests a simple economic model to analyze electricity grid that consists of different power sources. The substitutability of renewable energy for nuclear power in Korean electricity transmission network is investigated by suggested model. The monthly data from January 2006 to December 2013 reported by Electricity Power Statistics Information System (EPSIS) of Korea Power EXchange (KPX) are used. To estimate the elasticities of substitution among four power sources (i.e. coal, natural gas, nuclear power, and renewable energy), this paper uses the trans-log cost function model on which local concavity restrictions are imposed. The estimated Hicks-Allen and Morishima elasticity of substitution shows that renewable electricity and nuclear power are complementary. The results also evidenced that renewable electricity and fossil fueled thermal power generation are substitutes.

• 에너지공학
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• 제18권2호
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• pp.114-124
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• 2009

지식경제부(MKE)는 매2년마다 전력수급기본계획을 수립한다. 본 논문에서는 전력수급기본계획 수립시 전력수요를 과대 또는 과소로 예측한 것이 차기 전력수급기본계획 수립시 전원혼합(Energy Mix)에 미치는 영향을 정량적으로 평가하였다. 전력수요 자료는 2005년도에 예측한 제3차 전력수급기본계획의 전망치를 이용하였고 전원혼합을 도출하기 위하여 전력거래소(KPX)에서 활용하고 있는 WASP 전산모형을 단순화한 시뮬레이션 모형을 구축하였다. 2005년도 전력수요를 적정, 5% 과대 그리고 5% 과소 예측한 경우에 대하여 각각 단순화한 시뮬레이션 모형을 이용하여 2005년도 전력수급기본계획의 전원혼합을 도출하였다. 이 3가지 전원혼합을 초기조건으로 하여 2005년도의 적정 전력수요가 2007년 이후에 적용된다고 보고 2007년도에 차기 전력수급기본계획의 전원혼합을 도출하였다. 전력수요가 적정일 경우, 2005년도와 2007년도 전력수급 기본계획의 전력수요는 동일하므로 전원혼합에 변화가 없다. 전력수요를 5% 과대 또는 5% 과소 예측한 경우, 계획된 발전소 건설을 차기 전력수급기본계획 수립시 줄이거나 늘려야 하는데 건설기간이 짧은 LNG 발전소가 그 영향을 받는 것으로 나타났다.

• 대한전기학회논문지:전력기술부문A
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• 제54권3호
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• pp.144-151
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• 2005

This paper presents a forecasting technique of the short-term marginal price (SMP) using an Artificial Neural Network (ANN). The SW forecasting is a very important element in an electricity market for the optimal biddings of market participants as well as for market stabilization of regulatory bodies. Input data are organized in two different approaches, time-axis and day-axis approaches, and the resulting patterns are used to train the ANN. Performances of the two approaches are compared and the better estimate is selected by a composition rule to forecast the SMP. By combining the two approaches, the proposed composition technique reflects the characteristics of hourly, daily and seasonal variations, as well as the condition of sudden changes in the spot market, and thus improves the accuracy of forecasting. The proposed method is applied to the historical real-world data from the Korea Power Exchange (KPX) to verify the effectiveness of the technique.

• 대한기계학회논문집 C: 기술과 교육
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• 제4권1호
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• pp.57-62
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• 2016

수요자원 거래시장은 한국전력거래소rk 운영하는 수요관리 프로그램으로 한전 검침정보제공 포털 시스템이 제공하는 에너지 사용 데이터를 기준으로 에너지 절감여부를 판단한다. 그러나 검침정보제공 포털 시스템이 제공하는 에너지 사용 데이터는 실시간 데이터가 아닌 지연 데이터로 에너지 절감 주체인 수용가와 관리 주체인 수요관리사업자 모두 현재의 에너지 사용량을 확인할 수 없는 단점이 있다. 이러한 단점을 보완하기 위해 수용가 수전단에 스마트박스를 설치하여 실시간 데이터를 확인하고 전력부하를 능동적으로 절감할 수 있게 하였다.

• 에너지공학
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• 제11권4호
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• pp.324-331
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• 2002

경쟁적 전력시장에서는 다수의 시장 참여자들이 전력을 사고팔게 되는 만큼, 시장참여자들과 전력거래소 사이의 전력거래를 효과적으로 정산하기 위한 다양한 기법들이 요구된다. 특히 제약보상금액은 전력거래시에 시장참여자의 입찰 우선순위에도 불구하고 전력거래소가 계통의 제약조건으로 인해 실제 급전계획에서 조정한 전력거래량에 대해서 해당 거래금액을 보상해주기 위한 지불금액으로써, 우리나라의 도매경쟁 전력시장 설계에도 적용되어 있는데, 전력시장에서의 불필요한 분쟁을 방지하기 위해서는 그 계산과 정에 대한 명확한 이해가 요구된다고 할 수 있다. 본 논문에서는 이와 같은 제약보상금액을 보다 명확하고 효율적으로 정산하기 위한 계산기법을 제안한다. 이를 위해 각 급전치에 대한 시장참여자의 잉여 이익을 계산하고, 급전치의 변동에 의한 잉여 이익의 변동을 기준으로 제약보상금액을 계산하여 거래금액과 함께 정산한다.

• 전기학회논문지
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• 제61권10호
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• pp.1399-1411
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• 2012

The grid frequency is controlled cooperatively by the governor of the Turbine-Generator and the automatic generation controller(AGC) of the KPX(Korea Power Exchange). It is a basic requirement that the reliability of the governor is verified to enhance the power system stability but it is not easy to confirm the response characteristics of the governor because all generators are operated in the grid system that has the constant voltage and frequency. Therefore, it is necessary to study a new test method in order to examine the governor dynamic characteristic in the similar fault conditions. A study has shown that it is verified to simulate the turbine-generator power control system, the governor response characteristic under limited conditions and contribution of AGC with the gas turbine generator simulation model as well as demonstrate the dynamic response of the governor with the developed governor dynamic characteristic tester based on digital controller while the turbine-generator is connected to the grid system. This tester is constructed by the built-in functions of the turbine-generator main controller. In this treatise, the theoretical background, development method and the results of both simulations and demonstrations are described as another way to verify the turbine-generator governor dynamic characteristics.

• 전기학회논문지
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• 제67권7호
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• pp.816-823
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• 2018

The Auto-synchronizer is essential equipment for synchronizing a generator to the power system. It is performing that measurement of the magnitude, frequency and phase of the voltage signal of the power system and generator. It is important to select the appropriate measurement algorithm for preventing various problem such as mechanical stress and Electrical problem. Teager Energy Operator(TEO) and Discrete separation algorithm(DESA) is measurable the instantaneous parameters of a sine wave using 5 samples and can be measured at a fast and with a simple operation. Therefore it has many advantages in measuring the parameters. In this paper, it confirmed measurement results using matlab simulations when there are synchronized in order of frequency, magnitude. Also it presented methods using digital filters and sample intervals to improve accuracy.

• 전기학회논문지
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• 제67권1호
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• pp.96-102
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• 2018

For efficient operating strategy of electric power system, forecasting of daily peak electric load is an important but difficult problem. Therefore a daily peak electric load forecasting system using a neural network and fuzzy system is presented in this paper. First, original peak load data is interpolated in order to overcome the shortage of data for effective prediction. Next, the prediction of peak load using these interpolated data as input is performed in parallel by a neural network predictor and a fuzzy predictor. The neural network predictor shows better performance at drastic change of peak load, while the fuzzy predictor yields better prediction results in gradual changes. Finally, the superior one of two predictors is selected by the rules based on rough sets at every prediction time. To verify the effectiveness of the proposed method, the computer simulation is performed on peak load data in 2015 provided by KPX.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2006년도 제37회 하계학술대회 논문집 A
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• pp.196-197
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• 2006

Preventive maintenance can avail the generation utilities to reduce cost and gain more profit in a competitive supply-side power market. So, it is necessary to perform reliability analysis on the systems in which reliability is essential. In this paper, RCM (Reliability -Centered Maintenance) analytical method is adopted using real historical failure data in Korean power plants. Therefore, the reliability -based Probability model for predicting the failures of components in the power plant is also established, and application to FMECA(Failure Mode Effects and Critical Analysis) consideration of failure probability, Based on the weighting ranking of generating equipments which status to be probability estimation by FMECA. The FMECA is an engineering analysis and a core activity performed by reliability engineers to review the effects of probable failure modes of generating equipments and assemblies of the power system on system performance. The results of this paper show that application of FMECA with stochastic approach to the preventive maintenance can efficiently avail decreasing the cost on maintenance and hence improve the total benefit.