• Title, Summary, Keyword: Load modeling

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A Study on Validity of Applying Simplify modeling Method for Heating/Cooling Load Calculation (냉난방부하 계산의 단순화 모델링 기법 적용 타당성 검토에 관한 연구)

  • Kang, Yoon-Suk;Park, Jong-Il;Ihm, Pyeong-Chan
    • Proceedings of the SAREK Conference
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    • pp.1386-1391
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    • 2008
  • As the time goes by, the energy use in buildings are increasing threateningly. So, it is important to have an accurate energy load calculation for buildings. The accurate energy simulation program carries numerous input data. So, our purpose of this study is to verify the application of simplify modeling method which eliminates coordinates of building components instead of using full coordinates by using DOE2. After comparing original modeling method with simplify modeling method, we applied PAF for daylighting control in the building to verify the application of daylighting control in simplify modeling method. The results shows that there are little difference between original modeling and simplify modeling. Also it showed that application of daylighting control has little difference between original modeling so it is feasible to adapt simplify modeling. These results reveals that the application of simplify modeling is possible to predict energy load and use of the building.

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Load Modeling of Electric Locomotive Using Parameter Identification

  • Kim, Joo-Rak;Shim, Keon-Bo;Kim, Jung-Hoon
    • Journal of Electrical Engineering and Technology
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    • v.2 no.2
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    • pp.145-151
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    • 2007
  • Electric load components have different characteristics according to the variation of voltage and frequency. This paper presents the load modeling of an electric locomotive by the parameter identification method. The proposed method for load modeling is very simple and easy for application. The proposed load model of the electric locomotive is represented by the combination of the loads that have static and dynamic characteristics. This load modeling is applied to the KTX in Korea to verify the effectiveness of the proposed method. The results of proposed load modeling by the parameter identification follow the field measurements very exactly.

A Study on the Seasonal Load Characteristics in 22.9[kV] Bus (22.9[kV] 모선의 계절별 부하특성에 관한 연구)

  • 이종필;임재윤;지평식;김기동;김정훈
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.50 no.6
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    • pp.279-286
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    • 2001
  • A load modeling, micro method, is performed by component load modeling, load composition rate estimation and aggregation of component load model, etc. The load model obtained from this process must be applied to actual load bus to verify it and to get reliable load model. But it is difficult to apply every load bus due to al lot of load buses and complex experiment. This paper proposed the field test method in load bus to verify the load modeling. For appropriate field test, representative load buses are selected by the proposed algorithm considering the composition rate of user category in all load buses. The field tests were performed at selected load buses to obtain load characteristics of bus by time and seasonal without blackout. The results of measurement and analysis are presented in detail.

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Reasonable Load Characteristic Experiment for Component Load Modeling (개별 부하모델링을 위한 부하의 합리적인 특성실험)

  • Ji, Pyeong-Sik;Lee, Jong-Pil;Im, Jae-Yun;Chu, Jin-Bu;Kim, Jeong-Hun
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.51 no.2
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    • pp.45-52
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    • 2002
  • Load modeling is classified into two methods according to approaching method, so called the measurement and component-based method. The measurement method is to model the load characteristics measured directly at substations and feeders. But it is difficult to measure continuously load characteristics from naturally occurring. system variation. The component-based method consists of the fellowing process; component load modeling, composition rate estimation and aggregation of component loads, etc. In this paper, the characteristic experiment of component loads was performed to obtain data for the component load modeling as the component-based method. At first, representative component loads were selected by the proposed method considering the accuracy of load modeling and the performance possibility of component load experiment in the laboratory. Also an algorithm was Proposed to identify the reliability of data obtained from the component load characteristic experiments. In addition, the results were presented as the case studies.

Load Modeling of KTX Using Parameter Identification (파라미터 식별법에 의한 KTX의 부하모델링)

  • Kim, Joo-Rak;Shim, Keon-Bo;Kim, Jung-Hoon
    • Proceedings of the KIEE Conference
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    • pp.1634-1636
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    • 2005
  • The electric load components have different characteristics against variation of voltage and frequency. This paper presents the load modeling of electric locomotive by the parameter identification method. Proposed method for load modeling is very simple and easy for application. Proposed load model of the electric locomotive is the combined load of the static and dynamic characteristic load. This load modeling is applied to the KTX to verify the effectiveness of the proposed method. The results of the proposed load modeling by parameter identification follow the field measurements very exactly.

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Component-Based Load Modeling Updated by Hybrid Technique (하이브리드 방식에 의한 미시적 부하모델링)

  • 지평식
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.52 no.3
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    • pp.179-182
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    • 2003
  • Component-based method for load model not only should include the performances of the load components, but also should take into consideration the core losses of transformers, the line losses and the capacitor banks. Especially, capacitor bank affects the accuracy of reactive load model in load modeling. But it is difficult to identify actual reactive powers of capacitor banks in power system for load modeling. This research improves the component-based modeling method including uncertain capacitor bank. The proposed method is hybrid technique, which adds the measurement-based method to the existing component-based method for reliable information of capacitor band. The results of case studies were presented to verify the validity of the proposed method.

Nobel Approaches of Intelligent Load Model for Transient Stability Analysis (과도안정도 해석을 위한 지능형 부하모델의 새로운 접근법)

  • Lee, Jong-Pil;Lim, Jae-Yoon;Ji, Pyeong-Shik
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.57 no.2
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    • pp.96-101
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    • 2008
  • The field of load modeling has attracted the attention since it plays an important role for improving the accuracy of stability analysis and power flow estimation. Also, load modeling is an essential factor in the simulation and evaluation of power system performance. However, conventional load modeling techniques have some limitations with respect to accuracy for nonlinear and composite loads. Thus, precision load modeling technique and reasonable application method is needed for more accurate power system analysis. In this paper, we develop an intelligent load modeling method based. on neural network and application techniques for power system. The proposed method makes it possible to effectively estimate the load model for nonlinear models as well as linear models. Reasonable application method is also proposed for stability analysis. To demonstrate the validity of the proposed method, various experiments are performed and their results are presented.

Measurement-based Static Load Modeling Using the PMU data Installed on the University Load

  • Han, Sang-Wook;Kim, Ji-Hun;Lee, Byong-Jun;Song, Hwa-Chang;Kim, Hong-Rae;Shin, Jeong-Hoon;Kim, Tae-Kyun
    • Journal of Electrical Engineering and Technology
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    • v.7 no.5
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    • pp.653-658
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    • 2012
  • Load modeling has a significant influence on power system analysis and control. In recent years, measurement-based load modeling has been widely practiced. In the load modeling algorithm, the model structure is determined and the parameters of the established model are estimated. For parameter estimation, least-squares optimization method is applied. The model parameters are estimated so that the error between the measured values and the predicted values is to be minimized. By introducing sliding window concept, on-line load modeling method can be performed which reflects the dynamic behaviors of loads in real-time. For the purpose of data acquisition, the measurement system including PMU is implemented in university level. In this paper, case studies are performed using real PMU data from Korea Univ. and Seoul National University of Science and Technology. The performances of modeling real and reactive power behaviors using exponential and ZIP load model are evaluated.

Modeling of Converter-based Single-phase Load for Analysis of AC Substation System of Electric Railway (철도 급전계통 해석을 위한 컨버터 기반 부하 모델링)

  • Son, Ho-Ik;Yoo, Hyeong-Jun;Kim, Hak-Man
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.61 no.12
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    • pp.1959-1963
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    • 2012
  • Since electric railway load is variable largely due to starting and braking characteristics as well as various operation patterns, load modeling is not easy but complicated. For this reason, a simple technique for modeling of electric railway load of is required to analyze the AC substation system of electric railway. In this paper, a modeling technique of converter-based electric railway load is proposed and is tested using nonlinear loads on Matlab/Simulink.

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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    • v.3 no.4
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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.