• Title/Summary/Keyword: 지능형 충방전 제어

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A Study on Intelligent Charge and Discharge Control for Secondary Battery (2차 전지의 지능형 충방전 제어에 관한 연구)

  • Im, Geun-Uk;Jo, Hyeon-Chan;Kim, Gwang-Seon;Yu, Sang-Gil;Choe, Gyeong-Deok;Gang, Hui-Seon
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2008.04a
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    • pp.37-40
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    • 2008
  • 본 논문은 2차전지의 최적화된 충 ${\cdot}$ 방전 제어를 위한 지능형 제어 알고리즘을 제안한다. 고용량화된 2차 전지는 높은 에너지 밀도를 갖게 되고, 과충전에 의한 발화와 과방전에 의한 열화 특성으로 위험성이 존재하므로 정밀하게 전안, 전류를 제어하지 않으면 그 성능을 발휘하기 어렵다. 전지의 위험성을 제거하고 성능을 최대로 활용하기 위해서는 모든 전지 셀의 충방전 전류량을 조절하여 모든 전지의 셀간 전압 차이를 밸런스 제어 해야 한다. 하지만 전지의 특성에 영향을 미치는 임피던스가 사이클 라이프와 온도 변화 등 외부 환경에 의해 비선형적으로 변화하기 때문에 전지의 셀간 밸런스 제어에 어려움이 있다. 따라서 본 논문에서는 지능형 충 ${\cdot}$ 방전 제어 알고리즘을 이용하여 임피던스의 변화에도 적응 가능 하고 2차 전지가 가질 수 있는 최대 에너지를 사용할 수 있는 최적화된 방법을 제안한다. 또한 제안하는 알고리즘과 제어회로의 컴퓨터 시뮬레이션을 통해 그 효용성을 입증한다.

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Design of Charge and Discharge System for Secondary Batteries (2차 전지용 충방전 시스템 설계)

  • Shim, Jae-Hwe;Lee, Jun-Ha
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.10a
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    • pp.690-691
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    • 2009
  • This study intends to discuss the Charge and Discharge Monitoring System for HEV. Study is aim to charge and discharge stability and efficient. This study is include hardware module and application software development. It is possible to maintain charge and discharge performance efficiently.

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The Economics Value of Electric Vehicle Demand Resource under the Energy Transition Plan (에너지전환 정책하에 전기차 수요자원의 경제적 가치 분석: 9차 전력수급계획 중심으로)

  • Jeon, Wooyoung;Cho, Sangmin;Cho, Ilhyun
    • Environmental and Resource Economics Review
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    • v.30 no.2
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    • pp.237-268
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    • 2021
  • As variable renewable sources rapidly increase due to the Energy Transition plan, integration cost of renewable sources to the power system is rising sharply. The increase in variable renewable energy reduces the capacity factor of existing traditional power capacity, and this undermines the efficiency of the overall power supply, and demand resources are drawing attention as a solution. In this study, we analyzed how much electric vehicle demand resouces, which has great potential among other demand resources, can reduce power supply costs if it is used as a flexible resource for renewable generation. As a methodology, a stochastic form of power system optimization model that can effectively reflect the volatile characteristics of renewable generation is used to analyze the cost induced by renewable energy and the benefits offered by electric vehicle demand resources. The result shows that virtual power plant-based direct control method has higher benefits than the time-of-use tariff, and the higher the proportion of renewable energy is in the power system, the higher the benefits of electric vehicle demand resources are. The net benefit after considering commission fee for aggregators and battery wear-and-tear costs was estimated as 67% to 85% of monthly average fuel cost under virtual power plant with V2G capability, and this shows that a sufficient incentive for market participation can be offered when a rate system is applied in which these net benefits of demand resources are effectively distributed to consumers.