• Title, Summary, Keyword: Customer Baseline Load

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A Study for CBL(Customer Baseline Load) utilization in Day Ahead Demand Response operation (상시수요응답(Day Ahead Demand Response) 운영에서의 CBL 활용방안 연구)

  • Ko, Jong-Min;Yang, Il-Kwon;Song, Jae-Ju;Jin, Sung-Il
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.1
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    • pp.28-34
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    • 2009
  • In this study firstly we survey the calculation method and the characteristics of the way of estimating CBL(Customer BaseLine Load) that is important calculation tool for DRP internationally. Also we analyze the power consumption pattern using the 15 minutes load profiles of about 120,000 customers in domestic. Based on this pattern, we provide the CBL calculation method that can be utilized in DRP to save the cost, and analyze the accuracy of the CBL calculation proposed in this paper through the simulation.

A Study on Benefit Sides of Demand Response Customer Baseline with Outdoor Temperature Variable about Load Aggregator (수요관리사업자에 대한 외부온도 변화에 따른 수요반응 CBL의 편익에 관한 연구)

  • Kim, Seong-Cheol;Song, Ha-Na
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.28 no.3
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    • pp.44-50
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    • 2014
  • This paper describes reasonable methods by considering change of outdoor temperature into Customer Baseline Load(CBL) of Demand Resources in Smart Demand Resource Market, which controls peak power demand and maintains reliability of power system. The Smart Demand Resouce Market, which KPX(Korea Power Exchange) implement, is explained and then effects for CBL calculated by considering temperature correction factor are established. Finally, four methods for calculation of CBL are proposed and those results are compared and analyzed.

Customer Baseline Load Calculation using Time Series Prediction Technique in Energy Efficiency Programs (시계열 모델을 이용한 행동기반 에너지 효율화 프로그램의 고객기준부하 산정 방안)

  • Koh, Sae-Hyun;Joo, Sung-Kwan;Lee, Jae-Hee;Moon, Guk-Hyun;Wi, Young-Min
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.68 no.1
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    • pp.19-26
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    • 2019
  • As global demand for energy, energy prices, and power generation has increased worldwide, the government is turning to supply-oriented electricity supply and demand policies, such as behavior-based energy efficiency programs. In order to measure the implementation effect of the behavior-based energy efficiency program, the energy reduction must be accurately calculated by calculating the customer baseline load.

Estimating method of Customer Baseline Load for an Evaluation of Demand Response Program (수요반응 프로그램 평가를 위한 CBL 추정 방법)

  • Wi, Young-Min;Kim, Ji-Hui;Joo, Sung-Kwan
    • Proceedings of the KIEE Conference
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    • pp.551_552
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    • 2009
  • 본 논문에서는 수요반응 프로그램 설계 시 프로그램의 효과를 평가할 때 사용되는 CBL (Customer Baseline Load)의 추정방법으로 일기보정을 고려한 가중이동평균법 (Weighted Moving Average)을 제시하였다. 또한 제안된 방법을 PJM에서 관리하는 지역 전력 수요 데이터를 이용한 사례연구 수행 결과를 예시하였다.

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A Study on Demand Pattern Analysis for Forecasting of Customer's Electricity Demand (수요측 전력사용량 예측을 위한 수요패턴 분석 연구)

  • Ko, Jong-Min;Yang, Il-Kwon;Yu, In-Hyeob
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.57 no.8
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    • pp.1342-1348
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    • 2008
  • One important objective of the electricity market is to decrease the price by ensuring stability in the market operation. Interconnected to this is another objective; namely, to realize sustainable consumption of electricity by equitably distributing the effects and benefits of participating in the market among all participants of the industry. One method that can help achieve these objectives is the ^{(R)}$demand-response program, - which allows for active adjustment of the loadage from the demand side in response to the price. The demand-response program requires a customer baseline load (CBL), a criterion of calculating the success of decreases in demand. This study was conducted in order to calculate undistorted CBL by analyzing the correlations between such external or seasonal factors as temperature, humidity, and discomfort indices and the amounts of electricity consumed. The method and findings of this study are accordingly explicated.

A Study on Estimating Customer Baseline Load (수요자 기준부하 선정 방안 연구)

  • Yu, In-Hyeob;Ko, Jong-Min
    • Proceedings of the KIEE Conference
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    • pp.530-531
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    • 2008
  • ISO 및 전력사들이 제공하는 많은 수요반응 프로그램들은 절감기간에 이루어진 수요의 절감 크기를 결정하기 위해 신빙성이 있는 절차를 사용하고 있다. 이를 위해 수요자 설비의 수요절감을 측정하기 위해서 빌딩공학자, 설비운영자 및 외부 M&V 전문가 등에 의해서 사용될 수 있는 표준화된 Measurement & Verification (M&V) Protocol의 개발을 하고 있다. 본 프로토콜의 개발로 중소 용량 수요자들이 수요반응 프로그램 참여가 증가하고 기본부하 설정 방법에 있어 불합리하거나 혼돈을 야기하는 요소를 감소할 것으로 예측한다. 따라서 Customer Baseline Load(CBL) 산정 시스템은 수요절감에 대한 정산 과정과 절감 이행 실적에 대한 직접적인 도구로 활용된다. 본 연구는 CBL 산출을 위해 그 방법 및 산출 방안에 대해 알아본다.

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The study for Customer Baseline Load in Day-Ahead Demand Response (상시수요관리에서의 CBL 연구)

  • Ko, Jong-Min;Park, Sang-Hoo;Noh, Jae-Koo;Choi, Seong-Hwan
    • Proceedings of the KIEE Conference
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    • pp.670-672
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    • 2011
  • 본 논문에서는 전력시장가격(SMP, SYstem Marginal Pricing, 이하 SMP)이 급등하여 발전비용이 증가할 경우, Utility의 신호에 의해 전력사용을 줄이거나 소비량이 낮은 시간대로 이동을 유도함으로써 전력소비자의 패턴을 바꾸도록 유도하는 상시수요관리에 있어서, 전력소비자의 기저부하(CBL, Customer Baseline Load, 이하 CBL) 산정 방법에 관하여 기술한다. 제안하는 방법은 현재 KEPCO에서 시행하고 있는 상시수요관리에 대해 소개하고, 전력소비자의 CBL산정방법을 제시하고, 실제 적용된 정확도를 분석하고 그 결과를 제시하였다.

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A Study on Forecasting Method for a Short-Term Demand Forecasting of Customer's Electric Demand (수요측 단기 전력소비패턴 예측을 위한 평균 및 시계열 분석방법 연구)

  • Ko, Jong-Min;Yang, Il-Kwon;Song, Jae-Ju
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.58 no.1
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    • pp.1-6
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    • 2009
  • The traditional demand prediction was based on the technique wherein electric power corporations made monthly or seasonal estimation of electric power consumption for each area and subscription type for the next one or two years to consider both seasonally generated and local consumed amounts. Note, however, that techniques such as pricing, power generation plan, or sales strategy establishment were used by corporations without considering the production, comparison, and analysis techniques of the predicted consumption to enable efficient power consumption on the actual demand side. In this paper, to calculate the predicted value of electric power consumption on a short-term basis (15 minutes) according to the amount of electric power actually consumed for 15 minutes on the demand side, we performed comparison and analysis by applying a 15-minute interval prediction technique to the average and that to the time series analysis to show how they were made and what we obtained from the simulations.

A Development of Demand Response Operation System and Real-Time Pricing based on Smart Grid (스마트그리드 기반의 실시간요금제 및 DR운영시스템 구현)

  • Ko, Jong-Min;Song, Jae-Ju;Kim, Young-Il;Jung, Nam-Jun;Kim, Sang-Keu
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.59 no.11
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    • pp.1964-1970
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    • 2010
  • A new intelligent power network (Smart Grid) that grafts some new technologies, such as the extension of the new and reproducible energy, electric motors, and electric storages, onto the regulation of green house gases according to the recent convention on climate changes has been actively promoted. As establishing such an intelligent power network, it is possible to implement a real-time rate system according to the change from the conventional single directional information transmission to the bidirectional information transmission. Such a real-time rate system can provide power during the chip rate hour by avoiding the high rate hour although customers use the same level of power through providing such real-time rate information including power generation costs. In this study, the establishment of an operating system that makes an effective use of the real-time rate system and its operation method are to be proposed.

A Real-Time Demand Response Management Using Smart Box (스마트 박스를 활용한 실시간 수요관리)

  • Ko, Dong-Kwan;Bea, Jun-Cheol;Min, Kyoung-Chon;Lee, Jae-Kyu
    • Transactions of the KSME C: Technology and Education
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    • v.4 no.1
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    • pp.57-62
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    • 2016
  • The Demand Response Market is a nation-wide power and energy management program of electric power demand response operated by KPX (Korea Power eXchange). Therefore, any savings could be determined by KEPCO's AMR(Automatic Meter Reading) data. However, the customers and the service providers participating in the market could not know the real time value due to the 15 minute or even more delayed AMR data communicated. Here, a new concept of a smart box has been introduced and demonstrated to provide the real time saving values compared to the current KEPCO's AMR data approach.