• 제목/요약/키워드: Load Power

검색결과 7,457건 처리시간 0.034초

A BIFUNCTIONAL UTILITY CONNECTED PHOTOVOLTAIC SYSTEM WITH POWER FACTOR CORRECTION AND U.P.S. FACILITY

  • Kim. S.;Yoo, Gwonjong;Song, Jinsoo
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 1996년도 창립기념 전력전자학술발표회 논문집
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    • pp.103-108
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    • 1996
  • In this paper, a novel utility connected photovoltaic power generation system with unity power factor and uninterruptable power system facility and its control strategy are proposed. The proposed photovoltaic(PV) system is connected in parallel between utility and load. The PV system provides an uninterruptable voltage to load, a maximum power tracking to solar array, and power factor correction to the utility. The proposed system has the following advantages compared with the conventional utility connected PV system. 1. Harmonic elimination Function 2. Feeding the photovoltaic energy to the utility 3. Providing the uninterruptible power source along battery to the load In case that the photovoltaic array system is on the poor power generation, the battery and capacitor of the PV system are charged by three phase utility source and the inverter in the PV system only provides the reactive current to eliminate the harmonic current exited on the utility. In the normal operation mode, the PV system supplies active power to load and reactive power to utility in order to maintain the unity power factor and to regulate ac load voltage.

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Evaluation of Load Rejection to House Load Test at 50% Power for UCN 3

  • Lee, Chang-Gyun;Suk whun Sohn;Sohn, Jong-Joo;Seo, Jong-Tae;Lee, Sang-Keun;Kim, Youngsung;Nam, Kyu-Won;Jung, Yang-Mook;Chae, Kyeong-Sik
    • 한국원자력학회:학술대회논문집
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    • 한국원자력학회 1998년도 춘계학술발표회논문집(1)
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    • pp.398-403
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    • 1998
  • The Load Rejection to House Load test at 50% power was successfully peformed during the UCN 3 PAT period. In this test, all plant control systems automatically controlled the plant from 50% power to house load operation mode. The KISPAC code, which was used in the performance analysis during the design process of UCN 3&4, predictions of the test agreed with the measured data demonstrating the validity of the code as well as the completeness of the plant design.

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765[㎸] 변전소 시뮬레이터를 위한 조류계산 프로그램에 관한 연구 (A Study on the Load Flow Program for 765[㎸] Substation Simulator)

  • 여상민;김철환;이종포
    • 대한전기학회논문지:전력기술부문A
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    • 제52권4호
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    • pp.201-206
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    • 2003
  • Power system is analyzed by three methods of load flow, fault calculation, and voltage stability. Among there, load flow is calculated to flow of power in power in system at steady state. But, load flow is difficult to analyze to flow of power in substation, because power flow frequently alter by various equipments such as circuit bleaker, disconnect switch and shunt reactor. Particular, in 765[㎸] system, because of form of 1.5GB for stable operation, structure of substation has been very complex. In this paper, we describe technique for application of load flow algorithm in simulator for 765[㎸] substation. For this technique, we built each database for various equipments and considered form of 1.5GB Data as form of bus and line, for application of load flow, are acquired from built database, and then calculate load flow in substation. And. results of load flow are outputted in screen of operator console program.

PSCAD/EMTDC를 이용한 측정기반의 부하모델링 연구 (A Study On Measurement-based Load Modeling Using PSCAD/EMTDC)

  • 이경상;박래준;송경빈
    • 전기학회논문지
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    • 제60권6호
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    • pp.1079-1085
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    • 2011
  • To supply electrical power with high quality, the power system must be optimized in many ways such as planning, control and management. In order to optimize the power system, the analysis of the power system is necessary. The elements of the power system require an accurate model to analysis of the power system. The components of the power systems such as generators, transformers and transmission lines have been studied and researched a lot in their modeling and very sophisticated models have been proposed. However, in case of load in-depth studies on the exact model are required. In this paper, measurement-based load modeling method using real-time measured data is proposed in various methods to reflect the characteristics of the load. To prove the validity of the proposed method, PSCAD/EMTDC program is used to configure the power system and measurement data according to the various failures are used to study on load modeling.

전력품질 보상기와 부하모의장치의 연계시험 분석 (Performance Analysis of load simulator interconnected with Power Quality Compensator)

  • 배병열;조윤호;박용희;한병문
    • 전력전자학회논문지
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    • 제12권1호
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    • pp.89-97
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    • 2007
  • 본 논문에서는 새로 개발된 전력품질 보상장치의 성능을 실험실에서 효과적으로 분석하기 위해 필요한 새로운 부하모의장치를 제안하였다. 제안하는 부하모의장치는 2대의 PWM 인버터가 직류 단을 공유한 구조로 선형과 비선형부하를 단일기기로 시험 가능하도록 설계되어 있다. 그리고 전력품질보상기의 하나인 능동전력필터와 연계시험을 수행하였다. 본 논문에서는 제안하는 부하모의장치와 능동전력필터의 연계 특성을 분석할 목적으로 PSCAD/EMTDC 소프트웨어를 이용하여 시뮬레이션 실시하였고 또한 실적용시 타당성을 검증할 목적으로 20kVA 용량의 부하모의장치와 10kVA용량의 능동전력필터를 제작하여 실험을 실시하였다. 시뮬레이션과 하드웨어 실험결과 제안하는 부하모의장치는 능동전력필터의 다양한 보상 능력 검증에 충분히 활용가능함을 알 수 있었다.

운전데이터에 의한 증기터빈 발전소의 부하제어에 관한 고찰 (A Study on Load Control in a Steam Turbine Power Plant using Acquired Data)

  • 우주희;최인규
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1999년도 하계학술대회 논문집 B
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    • pp.749-751
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    • 1999
  • We acquired operating data in an existing steam turbine power plant using analog control system to investigate operation characteristics. We analyzed a load control logic to develop a digital turbine control system. The load control logic is constituted of load target, load reference, loading rate, load limit and admission mode transfer of valve. The result of this paper is utilized to implement a digital turbine control system.

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고조파를 고려한 신경회로망 기반의 정태부하모델링 (Static Load Modeling Based on Artificial Neural Network and Harmonics)

  • 이종필;김성수
    • 전기학회논문지P
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    • 제62권2호
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    • pp.65-71
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    • 2013
  • Nonlinear loads with harmonics exist in an actual power system where harmonic currents make voltage distortion. The sum of reactive power measured at individual load is different from the measured reactive power at a bus in a power system with linear and non-linear loads. In this study, ANN(artificial neural network) load modeling technique with consideration of harmonics is introduced for more accurate component load modeling and an impact coefficient is proposed for aggregation of component loads. Results of this research show more accurate load modeling method. Since precise data for power system analysis can be acquired, the proposed method will be used for power system planning and maintenance.

Trust-Tech based Parameter Estimation and its Application to Power System Load Modeling

  • Choi, Byoung-Kon;Chiang, Hsiao-Dong;Yu, David C.
    • Journal of Electrical Engineering and Technology
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    • 제3권4호
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    • pp.451-459
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    • 2008
  • Accurate load modeling is essential for power system static and dynamic analysis. By the nature of the problem of parameter estimation for power system load modeling using actual measurements, multiple local optimal solutions may exist and local methods can be trapped in a local optimal solution giving possibly poor performance. In this paper, Trust-Tech, a novel methodology for global optimization, is applied to tackle the multiple local optimal solutions issue in measurement-based power system load modeling. Multiple sets of parameter values of a composite load model are obtained using Trust-Tech in a deterministic manner. Numerical studies indicate that Trust-Tech along with conventional local methods can be successfully applied to power system load model parameter estimation in measurement-based approaches.

창원시 학교 건축물의 냉난방부하에 대한 전력 소비량 추정에 관한 연구 (A Study on Prediction of Power Consumption Rate for Heating and Cooling load of School Building in Changwon City)

  • 박효석;최정민;조성우
    • 교육녹색환경연구
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    • 제11권2호
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    • pp.19-27
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    • 2012
  • This study was carried out in order to establish the estimation equation for school power consumption using regression analysis based on collected power consumption for two years of weather data and schools are located in Central Changwon and Masan district in Changwon city. (1) The power consumption estimation equation for Heating and cooling is calculated using power consumption per unit volume, the difference between actual power consumption and results of estimation equations is 4.1%. (2) The power consumption estimation equation for heating load is showed 2.6% difference compared to actual power consumption in Central Changwon and is expressed 2.9% difference compared to that in Masan district. Therefore, the power consumption prediction for each school using the power consumption estimation equation is possible. (3) The power consumption estimation equation for cooling load is showed 8.0% difference compared to actual power consumption in Central Changwon and is expressed 2.9% compared to that in Masan district. As the power consumption estimation equation for cooling load is expressed difference compared to heating load, it needs to investigate influence for cooling load.

부하변동율을 이용한 선거일의 24시간 수요예측 (The 24 Hourly Load Forecasting of the Election Day Using the Load Variation Rate)

  • 송경빈
    • 전기학회논문지
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    • 제59권6호
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    • pp.1041-1045
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    • 2010
  • Short-term electric load forecasting of power systems is essential for the power system stability and the efficient power system operation. An accurate load forecasting scheme improves the power system security and saves some economic losses in power system operations. Due to scarcity of the historical same type of holiday load data, most big electric load forecasting errors occur on load forecasting for the holidays. The fuzzy linear regression model has showed good accuracy for the load forecasting of the holidays. However, it is not good enough to forecast the load of the election day. The concept of the load variation rate for the load forecasting of the election day is introduced. The proposed algorithm shows its good accuracy in that the average percentage error for the short-term 24 hourly loads forecasting of the election days is 2.27%. The accuracy of the proposed 24 hourly loads forecasting of the election days is compared with the fuzzy linear regression method. The proposed method gives much better forecasting accuracy with overall average error of 2.27%, which improved about average error of 2% as compared to the fuzzy linear regression method.