• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2012년도 춘계학술발표대회
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• pp.208-211
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• 2012

전력시스템에서 MDMS(Meter Data Management System)는 HAN(Home Area Network)과 Smart Meter, SUN(Smart energy Utility Network)와 같은 AMI(Advanced Metering Infrastructure) 기반 환경에서 수많은 전력 또는 수도 가스 사용량과 같은 데이터를 수집, 취득하고, 이들 데이터를 처리, 가공, 분석하여 가치 있는 정보로 변환시켜, 요금서비스 및 다양한 부가서비스 창출에 활용되는 소프트웨어 인프라이다. 최근 MDMS 개발은 기능의 중요성 뿐만 아니라 다른 응용 시스템들과의 상호 운용성을 고려하여 개발하는 요구 기능을 가진다. 본 논문에서는 스마트그리드 환경에 적합한 AMI의 전력처리시스템(MDMS) 개발을 위한 설계 방안을 기술하였다.

• 한국산학기술학회논문지
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• 제17권2호
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• pp.590-595
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• 2016

최근 미국은 전기자동차에 대한 보조금을 30%이상 인상하는 방안을 추진하고 있고, 유럽 각국도 2020년까지 100만대, 2030년까지 600만대의 전기자동차를 보급할 계획인 독일을 중심으로 보급과 개발 정책을 확대하고 있다. 전기자동차 개발을 단순한 기술적인 트렌드가 아닌, 장기적인 에너지 안보와 전체 사회 시스템을 변화시킬 수 있는 가능성 측면에서 접근하고 있기 때문이다.[1] 국내 또한 전기자동차 보급 목표가 증가하고 경쟁이 심화됨에 따라 신규 블루 오션 시장으로 급부상하고 있다. 현재 완속 충전기(Home Charger)의 경우 국내에서는 2015년부터 정부 지원 설치가 중단될 계획인데, 전기자동차의 보급에 최대 장애 요인 중 하나인 충전 인프라 부족을 최적화 된 저가형 Home Charger 개발로 전기자동차 민간 보급 조기 활성화에 기여하고자 한다. 본 논문에서는 IEC 61851-1과 IEC 61851-22 규격을 분석하여 저가형 충전기의 심야전력 알고리즘을 개발하였으며, 완속 충전기의 가격 저감과 편리성을 위해 기존의 충전기 시스템에 ATmega128, Bluetooth 모듈의 추가 구성을 통한 UI의 LCD 패널을 스마트폰 어플로 변경하였다.

• 한국컴퓨터정보학회논문지
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• 제22권7호
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• pp.63-74
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• 2017

Recently in the area of ICT, the M2M and IoT are in the spotlight as a cutting edge technology with the help of advancement of internet. Among those fields, the smart home is the closest area to our daily lives. Smart home has the purpose to lead a user more convenient living in the house with WLAN (Wireless Local Area Network) or other short-range communication environments using automated appliances. With an arrival of the age of IoT, this can be described as one axis of a variety of applications as for the M2H (Machine to Home) field in M2M. In this paper, we propose a novel technique for estimating the location of a terminal that freely move within a specified area using the RSSI (Received Signal Strength Indication) in the WLAN environment. In order to perform the location estimation, the Fingerprint and KNN methods are utilized and the LMS with the gradient descent method and the proposed algorithm are also used through the error correction functions for locating the real-time position of a moving user who is keeping a smart terminal. From the estimated location, the nearest fixed devices which are general electric appliances were supposed to work appropriately for self-operating of virtual smart home. Through the experiments, connection and operation success rate, and the performance results are analyzed, presenting the verification results.

• 한국태양에너지학회 논문집
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• 제33권1호
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• pp.24-31
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• 2013

More than 23% of total nation's energy is consumed by residential building and 57.2% of Korean people are living in apartment. This study was carried out to two kind of process. First, after selecting one standard apartment, our research team investigate realistic energy consumption. Second, using 3-dimension heat transfer tool(TRISCO RADICON) and building energy simulation tool(Visual DOE) As a result, amount of heating and hot-water energy is composed of above 80 percent in standard apartment. And, after applying high performance technologies to standard apartment, namely, after being green home apartment, total energy consumption is reduced by54.6 percent. Also, because of energy consumption characteristics of green home apartment, for making more high performance green home apartment, especially, we have to figure out effective method to reduce electric and hot water energy.

• 전기학회논문지
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• 제59권2호
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• pp.344-351
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• 2010

In this paper, we developed a green home simulator using LabVIEW for house designers or users to assess energy saving costs in an easy and direct way. The LabVIEW simulator has a strong graphic user interface, which is intuitive to general users. Therefore, the developed simulator enables one to gather information on electric power consumed in its house and to calculate efficiency for installing green energy generators such as solar and wind power generators. As an actual application, we simulate and compare the efficiencies of installing green energy generators at various cities and seasons using the developed LabVIEW simulator. The simulation results confirm that energy saving effects of green energies are easy to calculate by the proposed green home simulator.

• ETRI Journal
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• 제35권4호
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• pp.677-686
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• 2013

In this paper, we first introduce a general architecture of an energy management system in a home area network based on a smart grid. Then, we propose an efficient scheduling method for home power usage. The home gateway (HG) receives the demand response (DR) information indicating the real-time electricity price, which is transferred to an energy management controller (EMC). Referring to the DR, the EMC achieves an optimal power scheduling scheme, which is delivered to each electric appliance by the HG. Accordingly, all appliances in the home operate automatically in the most cost-effective way possible. In our research, to avoid the high peak-to-average ratio (PAR) of power, we combine the real-time pricing model with the inclining block rate model. By adopting this combined pricing model, our proposed power scheduling method effectively reduces both the electricity cost and the PAR, ultimately strengthening the stability of the entire electricity system.

• 정보처리학회논문지C
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• 제8C권6호
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• pp.865-874
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• 2001

본 논문에서는 Home Phoneline Neworking Aliance(Home PNA) 장치에 연결된 많은 가입자들로부터 야기될수 있는 대역폭 서비스 불균형 현상을 해결하고 이 장비를 이용하는 가입자들을 관리하기 위한 웹 기반 Home PNA 장치 관리시스템을 구현하였다. Simple-Net-work Managment Protocol(SNMP) 를 탑대한 Home PNA장치를 관리하기 위해서 관리항목을 Muti Dewling Unit(MDU) 장비으 Management Information Base(MB)로 부터 추출한 MIB 오브젝트를 이용하여 시스템관리, 포트관리, 성능관리, 장애관리로 분류하였다. 시스템관리는 개별 MDU 장비에 대해 구성정보를 제공하고, 포트관리는 현재 가입되어 있는 가입자에 대한 현황정보를 제공하고 비인가 가입자에 대한 필터링을 수행한다 그리고 성능관리는 트렁크 라인과 가입자 라인의 트랙픽 정보를 제공한다. 마지막으로 장애관리는 예외 상황에 대한 장애로그 및 trap 메시지를 제공한다. 구현된 시스템의 운영성을 시험하기 위하여 실제 네트워크에서 그 동작성을 검증하였다.

• 대한전기학회논문지:전기물성ㆍ응용부문C
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• 제55권9호
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• pp.446-451
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• 2006

The output voltage value of AC high voltage source has been usually measured by employing the high voltage divider of inductive or capacitive type. In the study, we have developed a new method for measuring the output voltage up to 60kV using parallel plates electrode and electric field sensor, which are constructed by home-made. Unlikely the conventional method using a high voltage divider, this developed method makes it possible to extend the range of output voltage from known low voltage measurement to high voltage measurement. From the linearity measured between electric field and applied voltage in the output voltage range of 1kV-30kV, the output voltage value up to 60kV can be obtained by the electric field measurement using the electric field sensor. The output voltage value obtained using the method is consistent with that obtained using high voltage divider within corresponding uncertainties.

• Journal of Electrical Engineering and Technology
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• 제13권5호
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• pp.1821-1830
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• 2018

With the wide application of intelligent household appliances, the optimization of electricity behavior has become an important component of home-based intelligent electricity. In this study, a multi-objective optimization model in an intelligent electricity environment is proposed based on economy and comfort. Firstly, the domestic consumer's load characteristics are analyzed, and the operating constraints of interruptible and transferable electrical appliances are defined. Then, constraints such as household electrical load, electricity habits, the correlation minimization electricity expenditure model of household appliances, and the comfort model of electricity use are integrated into multi-objective optimization. Finally, a continuous search multi-objective particle swarm algorithm is proposed to solve the optimization problem. The analysis of the corresponding example shows that the multi-objective optimization model can effectively reduce electricity costs and improve electricity use comfort.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제12권3호
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• pp.193-197
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• 2012

This paper focuses on identifying which appliance is currently operating by analyzing electrical load signature for home energy monitoring system. The identification framework is comprised of three steps. Firstly, specific appliance features, or signatures, were chosen, which are DC (Duty Cycle), SO (Slope of On-state), VO (Variance of On-state), and ZC (Zero Crossing) by reviewing observations of appliances from 13 houses for 3 days. Five appliances of electrical rice cooker, kimchi-refrigerator, PC, refrigerator, and TV were chosen for the identification with high penetration rate and total operation-time in Korea. Secondly, K-NN and Naive Bayesian classifiers, which are commonly used in many applications, are employed to estimate from which appliance the signatures are obtained. Lastly, one of candidates is selected as final identification result by majority voting. The proposed identification frame showed identification success rate of 94.23%.