• Title, Summary, Keyword: Demand response

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The Development of the Automatic Demand Response Systems Based on SEP 2.0 for the Appliances's Energy Reduction on Smart Grid Environments (스마트 그리드 환경에서 가전기기의 에너지 저감을 위한 SEP 2.0 기반의 자동수요반응 시스템 개발)

  • Jung, Jin-uk;Kim, Su-hong;Jin, Kyo-hong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.9
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    • pp.1799-1807
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    • 2016
  • In this paper, we propose the automatic demand response systems which reduce the electric power consumption for the period automatically distinct from the existing passive demand response that a subscriber directly controls the energy consumption. The proposed systems are based on SEP 2.0 and consist of the demand response management program, the demand response server, and the demand response client. The demand response program shows the current status of the electric power use to a subscriber and supports the function which the administrator enables to creates or cancels a demand response event. The demand response server transmits the demand response event received from the demand response management program to the demand response client through SEP 2.0 protocol, and it stores the metering data from the demand response client in a database. After extracting the data, such as the demand response the start time, the duration, the reduction level, the demand response client reduces the electric power consumption for the period.

An Analysis on Power Demand Reduction Effects of Demand Response Systems in the Smart Grid Environment in Korea

  • Won, Jong-Ryul;Song, Kyung-Bin
    • Journal of Electrical Engineering and Technology
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    • v.8 no.6
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    • pp.1296-1304
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    • 2013
  • This study performed an analysis on power demand reduction effects exhibited by demand response programs, which are advanced from traditional demand-side management programs, in the smart grid environment. The target demand response systems for the analysis included incentive-based load control systems (2 month-ahead demand control system, 1~5 days ahead demand control system, and demand bidding system), which are currently implemented in Korea, and price-based demand response systems (mainly critical peak pricing system or real-time pricing system, currently not implemented, but representative demand response systems). Firstly, the status of the above systems at home and abroad was briefly examined. Next, energy saving effects and peak demand reduction effects of implementing the critical peak or real-time pricing systems, which are price-based demand response systems, and the existing incentive-based load control systems were estimated.

Development of Automated Demand Response Platform Using Open Source Code (오픈소스를 활용한 지능형 수요반응 플랫폼 개발)

  • Yoon, Jae-Weon;Lee, Ingyu;Choi, Jung-In
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.63 no.8
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    • pp.1116-1120
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    • 2014
  • With the shift of the energy paradigm from supply side management to demand side management, demand resource management and demand response plays an important role in the energy industry. As a consequency, a lot of researches have been done to provide a suitable demand response system. However, most of the demand response systems are based on the propriety products that cannot be modified. In this paper, we are proposing an automated demand response system using an EnerNOC provided open source code. We implemented the demand response server (VTN) and demand response client (VEN), and validated the OpenADR2.0 compliances using the open source code. We also used an Arduino microcontoller to demonstrate the communication schemes to control various devices.

Development of Demand Response Operation System for Load Aggregators (부하관리사업자용 수요반응 운영 시스템 개발)

  • Kim, Ji-Hui;Moon, Guk-Hyun;Joo, Sung-Kwan;Oh, Jae-Cheol
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.60 no.12
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    • pp.2221-2224
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    • 2011
  • During an emergency due to a shortage of power, a load aggregator (LA) can use the demand response operation system to deploy demand response resources (DRRs) through various demand response (DR) programs. This paper introduces the demand response operation system for a load aggregator to manage various demand response resources in a smart grid environment.

Modeling Demand Response by Using Registration and Participation Information of Demand Resources (수요자원의 등록 정보 및 참여 정보를 이용한 수요 반응 모델링)

  • Kwag, Hyung-Geun;Kim, Jin-O;Shin, Dong-Joon;Rhee, Chang-Ho
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.60 no.6
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    • pp.1097-1102
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    • 2011
  • This paper proposes the registration information, the participation information for classifying demand resources participate in demand response program. Modeling demand resources from them, it evaluates values of demand resources. Specially assuming that ignore the loss in power system, they take a role as generation. This paper proposes how to evaluate demand resources' values. Case study shows that demand response operators schedule efficiently demand response program by using index of such as the registration information the participation information of demand resource.

Analysis on Demand Response Aggregator in Electricity Market (수요관리사업자가 수요반응 전력시장에 미치는 영향 분석)

  • Lee, Kwang-Ho
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.66 no.8
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    • pp.1181-1186
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    • 2017
  • The purpose of Demand Response is to reduce the cost of excessive resources and equipment by spontaneous load reductions at peak loads. Having enough power consumers participating in these schemes is key to achieving the goal. Demand Response Aggregator (DRA) is responsible for recruiting demand resources and managing them to participate in reducing the load. DRAs change the price elasticity of demand functions by providing incentives to demand response, thereby affecting price formation in the electricity market. In this paper, this process is modeled to analyze the relationship between DRA's strategic bidding and market outcomes and load reductions. It analyzes the results by applying to competition between DRAs, competition between DR and Gencos, and coexistence of DR load and non-DR load. It is noteworthy that we have found a phenomenon called the Balloon Effect.

An Analysis of Location Marginal Prices Considering Demand Response Resources (수요반응자원을 고려한 지역별 한계가격 해석기법 연구)

  • Kim, Hyun-Houng;Kim, Jin-Ho;Kim, Hyeong-Jung;Shin, Joong-Rin;Park, Jong-Bae
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.57 no.1
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    • pp.25-33
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    • 2008
  • This paper presents a new approach of a evaluation of location marginal prices(LMPs) considering demand response resources in the competitive electricity market. The stabilization of the electric power supply and demand balance has been one of the major important activities in electric power industry. Recently, much attention is paid to the demand-side resources which are responsive to incentives or time-varying prices and existing power system planning and operation activities are incorporated with the so-called demand response resources. In this paper, we first present an analytical method for calculation of LMPs considering demand response resources and then break down the LMPs into three components. In this study, we assume that Korean power system consists of two major regions, one which is the metropolitan and the other is non-metropolitan region. In the case study, we have considered several LMPs cases with different use of locational demand response resource and we can obtain a locational signal to demand response resources. Also, the economics of demand response resources are evaluated, compared with the increase of transmission line capacity and of generation capacity.

Building AHU Load Control Algorithm based on Demand Response (DR 기반의 건물 공조 부하관리 알고리즘)

  • Kim, Jeong-Uk
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.60 no.6
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    • pp.1225-1228
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    • 2011
  • This paper presents an advanced energy saving algorithm in building. It is important to aggregate a various demand side resource which is controllable on demand response environment. Previous demand side algorithm for building is restricted on peak power. In this paper, we suggest duty cycle algorithm for AHU on demand response to reduce the quantity of building power consumption. The test results show that the proposed algorithm is very effective.

Operation of Demand Bidding Program to Enhance Demand Response (수요반응을 위한 수요입찰제(수요자원시장) 운영)

  • Sohn, Yoon-Tae;Lee, Ho-Seung
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.59 no.9
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    • pp.1575-1580
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    • 2010
  • Demand Response is a well-known means usually operated by the system operator(SO) or the electricity retailers in order to reduce the peak loads or cut the price in electricity market. KPX(Korea Power eXchange), the SO in Korea has been operating the demand bidding program(or the demand resource market) since it was firstly introduced as the pilot project in 2008. The results has proved to be effective to enhance demand response. This paper describes the basic concepts and the operation results of the program.

Development of BEMS linked Demand Response System for Building Energy Demand Management (건물 에너지 수요관리를 위한 BEMS 연계형 수요반응 시스템 개발)

  • Lee, Sanghak
    • Journal of Satellite, Information and Communications
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    • v.11 no.2
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    • pp.36-41
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    • 2016
  • In order to take advantage of the building as an energy demand resources, it requires automated systems that can respond to the demand response event. Load aggregator has been started business in Korea, research and development of building energy management and demand response systems that can support them has been active recently. However, the ratio of introducing automated real-time demand response systems is insufficient and the cost is also high. In this research, we developed a building energy management system and OpenADR protocol to participate in a demand response and then evaluated them in real building. OpenADR is a standard protocol for automated system through the event and reporting between load aggregator and demand-side. In addition, we also developed a web-based building control system to embrace different control systems and to reduce the peak load during demand response event. We verified that the result systems are working in a building and the reduced load is measured to confirm the demand response.