• 제목/요약/키워드: Power demand monitoring

검색결과 90건 처리시간 0.023초

전력선 모뎀을 이용한 최대 수요전력 관리 시스템 (Demand Controller Management System using Power Line Modem)

  • 김수곤;임병국;이원선;전희종
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 2002년도 하계학술대회 논문집 B
    • /
    • pp.1067-1070
    • /
    • 2002
  • The maximum demand power management system(the demand controller) is an equipment for demand management. If the pre-estimated load is over the preset power, the demand controller make warnings and break the load circuit according to predefined priority. Then consumption power is maintained below the maximum demand power level. The DTU receives the control commands from demand controller, and then controls loads. In this paper, the power line cables are used for communication between the demand controller and DTUs and monitoring PC. The experiments show that the proposed system is compatible with the conventional system, and feasible for new or remodeling plant.

  • PDF

오픈소스 기반 지도 서비스를 이용한 딥러닝 실시간 가상 전력수요 예측 가시화 웹 시스템 (Development of Data Visualized Web System for Virtual Power Forecasting based on Open Sources based Location Services using Deep Learning)

  • 이정휘;김동근
    • 한국정보통신학회논문지
    • /
    • 제25권8호
    • /
    • pp.1005-1012
    • /
    • 2021
  • 최근 웹에서 지도(Map)를 이용한 Location based Services 기반의 다양한 위치정보시스템 활용이 점점 확대되고 있으며 에너지 절약을 위한 대안으로 전력 수요 현황을 실시간으로 확인할 수 있는 모니터링 시스템의 필요성이 요구되고 있다. 본 연구에서는 딥러닝과 같은 기계학습을 이용하여 전력 수요 데이터의 특성을 분석하고 예측하는 모듈을 개발하여 지역 단위별 전력 에너지 사용 현황과 예측 추세를 실시간으로 확인할 수 있는 오픈소스 기반 지도 서비스를 이용한 딥러닝 실시간 가상 전력수요예측 웹 시스템을 개발하였다. 특히 제안한 시스템은 LSTM 딥러닝 모델을 이용하여 지역적으로 전력 수요량과 예측 분석이 실시간으로 가능하고 분석된 정보를 가시화하여 제공한다. 향후 제안된 시스템을 통해 지역별 에너지의 수급 및 예측 현황을 확인하고 분석하는데 활용될 수 있을 뿐만 아니라 다른 산업 에너지에도 적용될 수 있을 것이다.

전력선 통신을 이용한 plant 감시 제어 시스템 (Spread Spectrum Method based Power Line Communication for Plant Monitoring and Control System)

  • 서민상;성석경;안병규
    • 전력전자학회:학술대회논문집
    • /
    • 전력전자학회 1997년도 전력전자학술대회 논문집
    • /
    • pp.211-215
    • /
    • 1997
  • Localized communication networks for office automation, security monitoring, environmental management of buildings, computer communications, and other applications enjoy every increasing demand. This paper proposes a direct sequence spread spectrum communication system for use in power line data transmission. Advantages of power distribution circuits include reasonably universal coverage and easy access vis a standard wall plug. Disadvantages include limited communication bandwidth, relatively high noise levels, and varying levels of impedance, noise, and attenuation. Spread spectrum signalling provides immunity to narrow-band signal impairments and multiplexing capability. Our prototype power line communication module supports completely physical and data link layers based on the international standard ISO 10368 for reliable high-speed power line communication system. Moreover it provides useful functions to compose a plant monitoring and control system. All the circuits of the communication module are included in one compact circuit. Thus a functional communication system for the power line plant monitoring and control is implemented.

  • PDF

수요예측 모니터링 애플리케이션과 웹의 사례 비교 분석 (A Comparative Analysis of Demand Forecast Monitoring Applications and the Web)

  • 이효원;임소연;이영우;박철우
    • 한국정보통신학회:학술대회논문집
    • /
    • 한국정보통신학회 2022년도 추계학술대회
    • /
    • pp.439-441
    • /
    • 2022
  • 본 연구는 수요예측 알고리즘으로 예측한 데이터와 실시간 데이터를 모니터링하기 위한 모니터링 애플리케이션과 웹 중 전력 수요관리 애플리케이션인 '해줌온', U&E 커뮤니케이션즈에서 사용하는 건설 현장 안전관리 시스템 웹 페이지를 비교하는 연구이다. 해당 연구는 위의 두 개의 대표적인 사례로 웹과 애플리케이션의 UI의 차이점, 장단점, 데이터의 보완 등을 비교하여 적절한 애플리케이션 또는 웹을 파악할 수 있다.

  • PDF

센서스 정보 및 전력 부하를 활용한 전력 수요 예측 (Forecasting Electric Power Demand Using Census Information and Electric Power Load)

  • 이헌규;신용호
    • 한국산업정보학회논문지
    • /
    • 제18권3호
    • /
    • pp.35-46
    • /
    • 2013
  • 국내 전력 수요량 예측을 위한 정확한 분석 모델을 개발하기 위하여 고차원 데이터 군집 분석에 적합한 차원 축소 개념의 부분공간 군집 기법과 SMO 분류 기법을 결합한 전력 수요 패턴 예측 방법을 제안하였다. 전력 수요 패턴 예측은 무선부하감시 데이터 뿐 아니라 소지역 단위의 센서스 정보를 통합하여 시간대별 전력 부하 패턴 분석과 인구통계학 및 지리학적 특성 분석이 가능하다. 서울지역 대상의 센서스 정보 및 전력 부하를 이용한 소지역 전력 수요 패턴 예측 결과 총 18개의 특성 군집을 구성하였으며, 전력 수요 패턴 예측 정확도는 약 85%를 보였다.

전력품질 감시 시스템 개발(1): 전력품질 데이터베이스 설계 (Development of Power Quality Monitoring System(PQMS) : Database Design for PQMS)

  • 김영일;방순정;한진희;윤태욱
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 2003년도 추계학술대회 논문집 전력기술부문
    • /
    • pp.128-130
    • /
    • 2003
  • Recently, with the increasing use of power semiconductors and microprocessors which are very sensitive to little change of power quality and power market being formed according to the reorganization of the power market, power providers and consumers show much interest in the power quality problem. This situation makes the demand creation of integrated system for power quality analysis and monitoring based on speedy and powerful functions by the growth of computer hardware and information technology, and besides advanced corporation already have created and employed power quality analysis and monitoring system. In this papers, it will be introduced that power quality database design-database is essential to integrated system-for managing effectively and confidently data from the power quality meters(PQM).

  • PDF

다중 분류 시스템을 이용한 가전기기 식별 알고리즘 (Appliance identification algorithm using multiple classifier system)

  • 박용순;정태윤;박성욱
    • 대한임베디드공학회논문지
    • /
    • 제10권4호
    • /
    • pp.213-219
    • /
    • 2015
  • Real-time energy monitoring systems is a demand-response system which is reported to be effective in saving energy up to 12%. Real-time energy monitoring system is commonly composed of smart-plugs which sense how much electrical power is consumed and IHD(In-Home Display device) which displays power consumption patterns. Even though the monitoring system is effective, users should themselves match which smart plus is connected to which appliance. In order to make the matching work to be automatic, the monitoring system need to have appliance identification algorithm, and some works have made under the name of NILM(Non-Intrusive Load Monitoring). This paper proposed an algorithm which utilizes multiple classifiers to improve accuracy of appliance identification. The algorithm proposes to understand each classifiers performance, that is, when a classifier make a result how much the result is reliable, and utilize it in choosing the final result among result candidates from many classifiers. By using the proposed algorithm this paper make 4.5% of improved accuracy with respect to using single best classifier, and 2.9% of improved accuracy with respect to other method using multiple classifiers, so called CDM(Commitee Decision Mechanism) method.

분전반 전력관리용 지능형 계측 제어 시스템 개발 (A Development of Intelligent Metering and Control System for Energy Management of Electric Cabinet Panel)

  • 박병철;박재성;송성근;신중린
    • 조명전기설비학회논문지
    • /
    • 제27권8호
    • /
    • pp.90-97
    • /
    • 2013
  • In recent years, the many electric saving methods are studied because of difficulty of meeting the demand. The electric energy management such as monitoring of branch power consumption, demand control, metering, power quality monitoring, electric safety monitoring can make energy saving. The purpose of this paper is to develop a system which can provide the integrated management of various functions required for energy management by consumers. In this system all functions which were embodied into each devices are integrated into intelligent meter. The developed systems are tested and implemented by installing at consumer electric distribution panel.

DSM Monitoring을 위한 확산 모델의 계수 추정 (Parameter estimation of the Diffusion Model for Demand Side Management Monitoring System)

  • 최청훈;정현수;김진오
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 1998년도 하계학술대회 논문집 C
    • /
    • pp.1073-1075
    • /
    • 1998
  • This paper presents the method of parameter estimation of diffusion model for monitoring Demand-Side Management Program. Bass diffusion model was applied in this paper, which has different values according to parameters ; coefficients of innovation, imitation and potential adopters. Though it is very important to estimate three parameter, there are no empirical results in practice. Thus, this paper presents the method of parameter estimation in case of few data with constraints to reduce the possibility of bad estimation. The constraints are empirical results or expert's decision. Case studies show the diffusion curves of high-efficient lighting and also forecasting of the peak value for power demand considering diffusion of high-efficient lighting, the feedback and least-square parameter estimation method used in this paper enable us to evaluate the status and forecasting of the effect of DSM program.

  • PDF

스마트그리드 실시간요금과 연동되는 수요반응을 유도하기 위한 HEMS 설계에 관한 연구 (A Study on Design of Home Energy Management System to Induce Price Responsive Demand Response to Real Time Pricing of Smart Grid)

  • 강동주;박선주;최수정;한승재
    • 조명전기설비학회논문지
    • /
    • 제25권11호
    • /
    • pp.39-49
    • /
    • 2011
  • Smart Grid has two main objectives on both supply and demand aspects which are to distribute the renewable energy sources on supply side and to develop realtime price responses on demand side. Renewable energy does not consume fossil fuels, therefore it improves the eco-friendliness and saves the cost of power system operation at the same time. Demand response increases the flexibility of the power system by mitigating the fluctuation from renewable energies, and reduces the capacity investment cost by shedding the peak load to off-peak periods. Currently Smart Grid technologies mainly focus on energy monitoring and display services but it has been proved that enabling technologies can induce the higher demand responses through many pilot projects in USA. On this context, this paper provides a price responsive algorithm for HEMS (home energy management system) on the real time pricing environment. This paper identifies the demand response as a core function of HEMS and classifies the demand into 3 categories of fixed, transferable, and realtime responsive loads which are coordinated and operated for the utility maximization or cost minimization with the optimal usage combination of three kinds of demand.