• Title/Summary/Keyword: daily peak load

Search Result 60, Processing Time 0.02 seconds

A Survey on the Actual Load Curve of Lighting Apparatus (조명기구 부하곡선 실태조사)

  • 곽희로;이진우
    • The Proceedings of the Korean Institute of Illuminating and Electrical Installation Engineers
    • /
    • v.9 no.5
    • /
    • pp.37-40
    • /
    • 1995
  • In this paper, we investigate the daily load curve and yearly lighting hours of general and industrial Korean lighting apparatus. The daily load curve of lighting apparatus shows the peak use at 8 p.m. in general and 10 a.m. in industrial building. The yearly lighting hours are 2,948 hours in general and 4,066 hors in industrial building.

  • PDF

Industrial load forecasting using the fuzzy clustering and wavelet transform analysis

  • Yu, In-Keun
    • Journal of IKEEE
    • /
    • v.4 no.2 s.7
    • /
    • pp.233-240
    • /
    • 2000
  • This paper presents fuzzy clustering and wavelet transform analysis based technique for the industrial hourly load forecasting fur the purpose of peak demand control. Firstly, one year of historical load data were sorted and clustered into several groups using fuzzy clustering and then wavelet transform is adopted using the Biorthogonal mother wavelet in order to forecast the peak load of one hour ahead. The 5-level decomposition of the daily industrial load curve is implemented to consider the weather sensitive component of loads effectively. The wavelet coefficients associated with certain frequency and time localization is adjusted using the conventional multiple regression method and the components are reconstructed to predict the final loads through a five-scale synthesis technique. The outcome of the study clearly indicates that the proposed composite model of fuzzy clustering and wavelet transform approach can be used as an attractive and effective means for the industrial hourly peak load forecasting.

  • PDF

A Study on the Estimation Method of Daily Load Curve for the Optimization Design and Economic Evaluation of Stand-alone Microgrids Based on HOMER Simulation in Off-Grid Limiting the Supply of Electricity (제한급전하는 오프그리드의 독립형 마이크로그리드 최적 설계 및 경제성 평가를 위한 일부하곡선 추정 방안에 관한 연구)

  • Nam, Yong-Hyun;Youn, Seok-Min;Kim, Jung-Hoon;Hwang, Sung-Wook
    • The Transactions of The Korean Institute of Electrical Engineers
    • /
    • v.68 no.1
    • /
    • pp.27-35
    • /
    • 2019
  • There is a growing interest in various microgrid solutions that supply electricity 24 hours a day to off-grid areas where are not connected with the main grid, and Korea has many positive effects by constructing overseas microgrids as a country operating the emission trading scheme. Since it is not clear how to obtain load curves that is one of the inputs of the HOMER used to design a microgrid optimization plan, or it is necessary to examine whether electricity is supplied to the peak load level of the areas where have not received the electricity benefits from the viewpoint of the demand management, a methodology should be developed to know the load composition ratio and the shape of the daily load curve. In this paper, the relative coefficient and average load information for each load group obtained from the survey are used besides peak load and total average load. A mathematical model is proposed to derive the load composition ratio in the form of a Quadratic Programming and the load forecasting is performed using simple linear regression with future indicators. The effectiveness of the proposed method is confirmed for the Philippine island region supported by Korea Energy Agency and the Asian Development Bank.

A Study on the Weekend Load Forecasting of Jeju System by using Temperature Changes Sensitivity (제주계통의 기온변화 민감도를 반영한 주말 전력수요예측)

  • Jeong, Hui-Won;Ku, Bon-Hui;Cha, Jun-Min
    • The Transactions of The Korean Institute of Electrical Engineers
    • /
    • v.65 no.5
    • /
    • pp.718-723
    • /
    • 2016
  • The temperature changes are very important in improving the accuracy of the load forecasting during the summer. It is because the cooling load in summer contribute to the increasing of the load. This paper proposes a weekend load forecasting algorithm using the temperature change characteristic in a summer of Jeju. The days before and after weekends in Jeju, when the load curves are quite different from those of normal weekdays. The temperature change characteristic are obtained by using weekends peak load and high temperature data. And load forecasted based on the sensitivity between unit temperature changes and load variations. Load forecast data with better accuracy are obtained by using the proposed temperature changes than by using the ordinary daily peak load forecasting. The method can be used to reduce the error rate of load forecast.

An LSTM Neural Network Model for Forecasting Daily Peak Electric Load of EV Charging Stations (EV 충전소의 일별 최대전력부하 예측을 위한 LSTM 신경망 모델)

  • Lee, Haesung;Lee, Byungsung;Ahn, Hyun
    • Journal of Internet Computing and Services
    • /
    • v.21 no.5
    • /
    • pp.119-127
    • /
    • 2020
  • As the electric vehicle (EV) market in South Korea grows, it is required to expand charging facilities to respond to rapidly increasing EV charging demand. In order to conduct a comprehensive facility planning, it is necessary to forecast future demand for electricity and systematically analyze the impact on the load capacity of facilities based on this. In this paper, we design and develop a Long Short-Term Memory (LSTM) neural network model that predicts the daily peak electric load at each charging station using the EV charging data of KEPCO. First, we obtain refined data through data preprocessing and outlier removal. Next, our model is trained by extracting daily features per charging station and constructing a training set. Finally, our model is verified through performance analysis using a test set for each charging station type, and the limitations of our model are discussed.

A Study on Daily Cooling Load Forecast Using Fuzzy Logic (퍼지 논리를 이용한 일일 냉방부하 예측에 관한 연구)

  • 신관우;이윤섭
    • Journal of Institute of Control, Robotics and Systems
    • /
    • v.8 no.11
    • /
    • pp.948-953
    • /
    • 2002
  • The electric power load during the peak time in summer is strongly affected by cooling load, which decreases the preparation ratio of electricity and brings about the failure in the supply of electricity in the electric power system. The ice-storage system and heat pump system are possible solutions to settle this problem. In this study. the method of estimating temperature and humidity to forecast the cooling load of ice-storage system is suggested, then the method of forecasting the cooling load using fuzzy logic is suggested by simulating that the cooling load is calculated using actual temperature and humidity. The forecast of the temperature, humidity and cooling load are simulated, and it is shown that the forecasted data approach to the actual data. Operating the ice-storage system by the forecast of cooling load with night electric power will improve the ice-storage system efficiency and reduce the peak electric power load during the summer season as a result.

Appliance Load Profile Assessment for Automated DR Program in Residential Buildings

  • Abdurazakov, Nosirbek;Ardiansyah, Ardiansyah;Choi, Deokjai
    • Smart Media Journal
    • /
    • v.8 no.4
    • /
    • pp.72-79
    • /
    • 2019
  • The automated demand response (DR) program encourages consumers to participate in grid operation by reducing power consumption or deferring electricity usage at peak time automatically. However, successful deployment of the automated DR program sphere needs careful assessment of appliances load profile (ALP). To this end, the recent method estimates frequency, consistency, and peak time consumption parameters of the daily ALP to compute their potential score to be involved in the DR event. Nonetheless, as the daily ALP is subject to varying with respect to the DR time ALP, the existing method could lead to an inappropriate estimation; in such a case, inappropriate appliances would be selected at the automated DR operation that effected a consumer comfort level. To address this challenge, we propose a more proper method, in which all the three parameters are calculated using ALP that overlaps with DR time, not the total daily profile. Furthermore, evaluation of our method using two public residential electricity consumption data sets, i.e., REDD and REFIT, shows that our energy management systems (EMS) could properly match a DR target. A more optimal selection of appliances for the DR event achieves a power consumption decreasing target with minimum comfort level reduction. We believe that our approach could prevent the loss of both utility and consumers. It helps the successful automated DR deployment by maintaining the consumers' willingness to participate in the program.

Improvement of the Load Forecasting Accuracy by Reflecting the Operation Rates of Industries on the Consecutive Holidays (특수일 조업률 반영을 통한 전력수요예측 정확도 향상)

  • Lim, Nam-Sik;Lee, Sang-Joong
    • The Transactions of The Korean Institute of Electrical Engineers
    • /
    • v.65 no.7
    • /
    • pp.1115-1120
    • /
    • 2016
  • This paper presents the daily load forecasting for special days considering the rate of operation of industrial consumers. The authors analyzed the power consumption pattern for both the special and ordinary days according to the contract power classification of industrial consumers, and selected 400~600 specific consumers for which the rates of operation during special days are needed. Load forecasting for 2014 special days considering the rate of operation of industrial consumers showed a noticeable improvement on forecasting error of daily peak demand, which proved the effectiveness of the survey for the rates of operation during special days of industrial consumers.

A Study on the Generating System Reliability Evaluation (발전계통의 신속도 산정에 관한 연구)

  • 김준현;황갑주;송석하
    • The Transactions of the Korean Institute of Electrical Engineers
    • /
    • v.32 no.3
    • /
    • pp.69-75
    • /
    • 1983
  • This paper presents a improved algorithm for the generating capacity reliability evaluation using the frequency and duration approach. One of the specific feature of this algorithm is that propose the cumulative state load model via analytic expression of load duration curve and cumulative load frequency characteristic in conside ration of daily peak load. The paper illustrates the utilization of the proposed algorithm in actual system studies using the generating system of KEPCO. The results presented will provide a valuable reference for maintaining and planing the generating system.

  • PDF

A study on the Operating Characteristics of the Capsule-type Ice Storage System (캡슐형 빙축열 시스템의 운전특성에 관한 연구)

  • Kim, Kyung-Hwan;Cho, Sung-Woo;Choi, Jeong-Min;Ha, Suk-Young
    • Proceedings of the SAREK Conference
    • /
    • 2005.11a
    • /
    • pp.199-204
    • /
    • 2005
  • The decrease of summer peak electric load of our country is very important. The government is arranging a lot of support policies and statutes. etc. to decrease of peak electric load. And ice storage system is known as one of the alternatives. The purpose of this study is to collect basic data for operating characteristics to plan the most suitable operation of capsule-type ice storage system. The storaging tank is designed to take charge 40% of total cooling load in building, In operation condition the storage tank took charge 50%. Coefficient Of Performance of daily screw refrigerator is around 4.

  • PDF