• 제목/요약/키워드: Load Aggregator

검색결과 15건 처리시간 0.022초

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

  • 이상학
    • 한국위성정보통신학회논문지
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    • 제11권2호
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    • pp.36-41
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    • 2016
  • 건물을 에너지 수요관리 자원으로 활용하기 위해서는 수요 반응에 대응할 수 있는 자동화된 시스템을 필요로 한다. 에너지 수요관리 사업자의 출현으로 이를 뒷받침할 수 있는 건물 에너지 관리 시스템과 수요반응 시스템에 대한 연구 개발이 활발히 이루어지고 있다. 하지만 아직까지 자동화된 실시간 수요 반응 시스템 도입은 미흡하고 비용도 높다. 본 연구에서는 이를 해소하기 위해 건물을 대상으로 수요 반응 시스템 구축을 위한 OpenADR 프로토콜과 수요 반응에 참여할 수 있는 건물 에너지 관리 시스템을 개발하고 실환경에 적용하여 실증을 수행하였다. OpenADR은 표준 프로토콜로 사업자와 수요자원간의 이벤트 발생과 리포팅을 통해 자동화된 시스템이다. 또한 다양한 제어 시스템이 이용되고 있는 건물을 대상으로 단일화된 제어 시스템 구축을 위해 웹 기반 건물 자동제어 시스템을 개발하여 수요 반응 이벤트 발생 시 부하를 줄일 수 있도록 한다. 개발된 결과물을 건물에 적용하여 동작하는 것을 검증하고 감축량을 측정하여 수요반응 효과를 확인하였다.

수요반응자원으로서 산업용 부하의 매집 우선순위 결정 기준에 관한 연구 (A Study on Decision-making Criteria in Industrial Sector for Electric Load Aggregation)

  • 김성열;김동민
    • 전기학회논문지
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    • 제65권6호
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    • pp.946-954
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    • 2016
  • Energy industry is undergoing a paradigm shift in customer participation in the smartgrid. Customers traditionally consume electrical power. But nowadays not only do they generate electricity from private distributed generations, they can participate in demand response programs with their negawatt power which means a theoretical unit of power representing an amount of energy saved. Therefore development of decision-making criteria for electric load aggregation becomes a greater consideration as an amount of energy saved from demand response resources increases. This paper proposes load aggregators' decision-making criteria in the industrial sector where it made up the largest portion in demand response portfolio in order to assure reliability performance for demand response resources.

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

  • 김성철;송하나
    • 조명전기설비학회논문지
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    • 제28권3호
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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.

전략적 수요반응이 송전선 혼잡의 시장지배력에 미치는 영향 (Demand Response Effect on Market Power with Transmission Congestion in Electricity Market)

  • 이광호
    • 전기학회논문지
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    • 제66권12호
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    • pp.1705-1711
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    • 2017
  • This paper analyzes the impact of DRA (Demand Response Aggregator) on market power when competing with power generation companies (Gencos) in the electricity market. If congestion occurs in the transmission line, the strategic choice of the power generation company increases exercise of market power. DRA's strategic reduction of power load impacts the strategy of Gencos, which in turn affects the outcome of the load reduction. As the strategy of Gencos changes according to the location of the congested transmission line, the impact on the market depends on the relative location of the congested line and the DRA.

Optimal Scheduling of Electric Vehicles Charging in low-Voltage Distribution Systems

  • Xu, Shaolun;Zhang, Liang;Yan, Zheng;Feng, Donghan;Wang, Gang;Zhao, Xiaobo
    • Journal of Electrical Engineering and Technology
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    • 제11권4호
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    • pp.810-819
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    • 2016
  • Uncoordinated charging of large-scale electric vehicles (EVs) will have a negative impact on the secure and economic operation of the power system, especially at the distribution level. Given that the charging load of EVs can be controlled to some extent, research on the optimal charging control of EVs has been extensively carried out. In this paper, two possible smart charging scenarios in China are studied: centralized optimal charging operated by an aggregator and decentralized optimal charging managed by individual users. Under the assumption that the aggregators and individual users only concern the economic benefits, new load peaks will arise under time of use (TOU) pricing which is extensively employed in China. To solve this problem, a simple incentive mechanism is proposed for centralized optimal charging while a rolling-update pricing scheme is devised for decentralized optimal charging. The original optimal charging models are modified to account for the developed schemes. Simulated tests corroborate the efficacy of optimal scheduling for charging EVs in various scenarios.