• 제목/요약/키워드: Electricity Storage

검색결과 273건 처리시간 0.029초

MPDP를 이용한 수용가측 전지전력저장시스템의 최적운전 (Optimal Operation of Battery Energy Storage System for Customers using the MPDP)

  • 홍종석;김재철;최준호;정용철;김태수;김응상
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2001년도 하계학술대회 논문집 A
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    • pp.315-317
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    • 2001
  • This paper studies for the optimal operation of BESS. The goal must be optimized electricity charge of the customer sides owned time-of-use rates in this paper. Therefore, the least of cost is caused by BESS installation, Multi-Pass Dynamic Programming (MPDP) algorithm is applied to the customer for the optimal operation determination in this paper. It is to solve the optimal solution under the constraints. No matter how become one stage in general, problem is divided into several stage in series in this algorithm. Regardless of the decision step, MPDP is only accomplished based on the state of stage in the present. To investigate the efficiencies of the algorithm, it is applied the typical load curve to the cutomer owned Time-Of-Use(TOU). Result shows that the maximun economic benefits of the battery energy storage system can be achieved by the purposed algorithm.

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무인 항공기용 연료 전지 동력 시스템 개발 (Development of Fuel Cell Power System for Unmanned Aerial Vehicle)

  • 김태규;심현철;권세진
    • 한국추진공학회:학술대회논문집
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    • 한국추진공학회 2007년도 제28회 춘계학술대회논문집
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    • pp.87-90
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    • 2007
  • 장기 체공 무인 항공기를 위한 연료 전지 동력 시스템을 개발하였다. 기존의 고압 수소 저장 방식의 문제점을 해결하기 위해 높은 에너지 밀도를 갖는 액상의 화학 수소화물을 연료로 사용하였다. 수소화물을 전환하여 수소를 발생하는 연료 공급 장치는 촉매 반응기, 펌프, 연료 카트리지, 분리기, 제어기로 구성되어 있으며, 전력을 발생하기 위한 연료전지 스택과 함께 연료 전지 동력 시스템을 무인 항공기에 탑재하였다. 연료 전지 동력 시스템을 무인 항공기에 적용하기 위한 성능 검증을 수행하였다.

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가정용 고분자연료전지 시스템의 운전 방법에 따른 성능 비교 (Operation Performance of a Polymer Electrolyte Fuel Cell Cogeneration System for Residential Application)

  • 이원용;정귀성;유상필;엄석기;김창수
    • 한국수소및신에너지학회논문집
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    • 제16권4호
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    • pp.364-371
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    • 2005
  • Fuel cell systems(FCS) have a financial and environmental advantage by providing electricity at a high efficiency and useful heat. For use in a residence, a polymer electrolyte fuel cell system(PEFCS) with a battery pack and a hot water storage tank has been modelled and simulated. The system is operated without connection to grid line. Its electric conversion efficiency and heat recovery performance are highly dependent on operation strategies and also on the seasonal thermal and electric load pattern. The output of the fuel cell is controlled stepwise as a function of the state of the battery and/or the storage water tank. In this study various operation strategies for cogeneration fuel cell systems are investigated. Average fuel saving rates at different seasons are calculated to find proper load management strategy. The scheme can be used to determine the optimal operating strategies of PEFCS for residential and building applications.

에너지 저장 시스템의 스마트 홈 연동을 위한 SEP 개발 (Development of Smart Energy Profile(SEP) for Integrate Energy Storage System(ESS) at Smart Home)

  • 이상학
    • 한국통신학회논문지
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    • 제41권6호
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    • pp.678-680
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    • 2016
  • 에너지 환경의 변화로 인해 가정 내 태양광 도입이 활발히 이루어지고 있다. 더불어 에너지 저장 시스템도 함께 활용되어 보다 유연한 에너지 관리가 이루어지고 있다. 태양광으로 생산된 전력을 보다 효과적으로 사용하여 피크 저감 및 가격을 고려한 전력소비를 이룰 수 있다. 본 연구에서는 에너지 저장 시스템을 홈 네트워크로 연동하여 홈 에너지관리 시스템의 구성요소로 이루기 위해 SEP(Smart Energy Profile)을 개발하였다. 에너지 저장 시스템에서 갖추고 있는 기능을 정의하고 표준 기반 프로토콜을 개발하여 제품간 호환을 이룰 수 있도록 하였다. 향후 주택에 에너지관리시스템 도입을 위해 상호운용성 확보는 매우 중요한 과제이며 이를 앞당길 수 있는 기반을 마련하였다.

신재생에너지 연계형 에너지관리장치의 운영 사례 연구 (A Case Study on Operation of Energy Management System Connected with Renewable Energy)

  • 조재영;나인호
    • 스마트미디어저널
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    • 제7권2호
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    • pp.71-77
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    • 2018
  • 본 논문에서는 신재생에너지 발전과 연계한 에너지저장시스템(ESS)의 최적 운영을 위한 에너지관리시스템(EMS)의 구성요소 설계 시 고려할 기능, 운영 효과 분석과 전력요금 절감 방안을 제안한다. 이를 위해 태양광 발전 시스템에 리튬이온전지 기반의 배터리 시스템과 에너지관리시스템 연계 및 구축방안을 제시하고, 1년 동안 운영 데이터에 대한 분석한 결과를 기술한다. 또한 시스템 운영 효과를 높이기 위한 방안으로 EMS를 이용하여 최대수요 발생시간대의 피크전력을 경부하 시간대 충전전력으로 대체하여 ESS 전용 요금제에 따른 요금편익과 부하 평준화에 기여하는 효과를 제안한다.

전기요금 절감 측면에서 에너지저장시스템의 운전알고리즘 (Operation Algorithm of Battery Energy Storage System (BESS) for Saving Electric Charges)

  • 김응상
    • 에너지공학
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    • 제8권4호
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    • pp.519-524
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    • 1999
  • 본 논문에서는 1 MW 에너지저장시스템을 특별 고압 수용가에 설치하여 실 계통과의 계통연계 운전시 대상 수용가의 전기요금의 절감을 위한 운전알고리즘을 제안하였다. 제안된 운전 알고리즘을 이용하여 계통연계 운전시 '97년도의 1년 동안 전기요금과 '98년도에는 '97년도와 똑같이 전기를 사용한다는 가정하에 계절별, 시간대별 및 역률 조정운전을 고려하여 적용하였다. 적용결과 1 년동안 약 4 천만원 정도의 종합 전기요금 절감이 기대되었으며, 이상의 결과로부터 본 논문에서 제안된 알고리즘의 유효성을 입증할 수있었다.

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ESS 도입에 의한 우도 전력계통 운영방안 (An Operation Strategy of Udo Island Power System with the Introducing ESS)

  • 이도헌;김일환;김호민;오성보;이승민
    • 한국태양에너지학회 논문집
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    • 제35권3호
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    • pp.57-63
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    • 2015
  • This paper presents a solution by introducing energy storage system(ESS) to solve an annual blackout due to a typhoon or electrical failure in Udo Island. This island is now receiving electrical power through undersea cables from the Jeju Island. During blackout period, ESS will supply the electricity. And it is necessary to estimate the ESS capacity and control the transient state for the operation of stable power system. For the verification of proposed method, ESS capacities have been estimated according to base load and the minimum capacity of only home appliance in Udo Island. Also, in case of restoring from the fault, the algorithm for synchronization is proposed. Finally, the simulation results by using the PSCAD/EMTDC program will show the feasibility.

대학건물의 전력소비패턴 분석을 통한 태양광, ESS 적정용량 산정 및 경제적 효과 분석 (Calculation of Photovoltaic, ESS Optimal Capacity and Its Economic Effect Analysis by Considering University Building Power Consumption)

  • 이혜진;최정원
    • 한국산업융합학회 논문집
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    • 제21권5호
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    • pp.207-217
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    • 2018
  • Recently, the importance of energy demand management, particularly peak load control, has been increasing due to the policy changes of the Second Energy Basic Plan. Even though the installation of distributed generation systems such as Photovoltaic and energy storage systems (ESS) are encouraged, high initial installation costs make it difficult to expand their supply. In this study, the power consumption of a university building was measured in real time and the measured power consumption data was used to calculate the optimal installation capacity of the Photovoltaic and ESS, respectively. In order to calculate the optimal capacity, it is necessary to analyze the operation methods of the Photovoltaic and ESS while considering the KEPCO electricity billing system, power consumption patterns of the building, installation costs of the Photovoltaic and ESS, estimated savings on electric charges, and life time. In this study, the power consumption of the university building with a daily power consumption of approximately 200kWh and a peak power of approximately 20kW was measured per minute. An economic analysis conducted using these measured data showed that the optimal capacity was approximately 30kW for Photovoltaic and approximately 7kWh for ESS.

스마트에너지 방식을 적용한 전력신산업 활성화 모델 사례 연구: ESS, 전기차 충전, 전력수요관리 중심으로 (New Energy Business Revitalization Model with Smart Energy System: Focused on ESS, EV, DR)

  • 신재우
    • 한국IT서비스학회지
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    • 제21권6호
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    • pp.117-125
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    • 2022
  • In respond to climate change caused by global environmental problems, countries around the world are actively promoting the advancement of new electricity industries. The new energy business is being applied to energy storage systems (ESS), electric vehicle charging business, and power demand response using cutting edge technologies. In 2022, the Korean government is also establishing a policy stance to foster new energy industries and making efforts to improve its responsiveness to power demand response with the innovative technologies. In Korea, attempts to commercialize energy power are also being made in the private and public sectors to control energy power in houses, buildings, and industries. For example, private companies, local governments, and central government are making all-out efforts to develop new energy industry models through joint investment. There are forms such as establishing energy-independent facilities by region, establishing an electric vehicle charging system, controlling urban lighting systems with Information technologies, and managing demand between power suppliers and power consumers. This study examined the business model applied with energy storage system, electric vehicle charging business, smart lighting, and power demand response based on information communication technology to examine the site where smart energy system was introduced. According to this study, company missions and government tasks are suggested to apply new energy business technologies as economical energy solutions that meet the purpose of use by region, industry, and company.

Anomaly detection of smart metering system for power management with battery storage system/electric vehicle

  • Sangkeum Lee;Sarvar Hussain Nengroo;Hojun Jin;Yoonmee Doh;Chungho Lee;Taewook Heo;Dongsoo Har
    • ETRI Journal
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    • 제45권4호
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    • pp.650-665
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    • 2023
  • A novel smart metering technique capable of anomaly detection was proposed for real-time home power management system. Smart meter data generated in real-time were obtained from 900 households of single apartments. To detect outliers and missing values in smart meter data, a deep learning model, the autoencoder, consisting of a graph convolutional network and bidirectional long short-term memory network, was applied to the smart metering technique. Power management based on the smart metering technique was executed by multi-objective optimization in the presence of a battery storage system and an electric vehicle. The results of the power management employing the proposed smart metering technique indicate a reduction in electricity cost and amount of power supplied by the grid compared to the results of power management without anomaly detection.