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      KCI등재 SCOPUS

      배전계통 모의운영 기반의 변동성 전원 수용한계 산정방법

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      https://www.riss.kr/link?id=A106516094

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      다국어 초록 (Multilingual Abstract)

      As the connections of variable energy resources (VER) to the distribution system are recently delayed due to the limited expansion of the network facilities, the accurate calculation of the hosting capacity for VER has become an issue in the distribution system. The utilities would decide to integrate additional VER in a similar way as they have done for the conventional distributed resources. However, this method can be too conservative for VER. The capacity factors of VER are usually low due to their dependency on the weather and the correlation with the electric loads is quite high. Therefore, the criteria for allowing those connection should be based on the probable operating conditions rather than the maximum output based operation condition. For doing this, this paper proposes the method of calculating the capacity of the distribution system for hosting VER considering the probable operating conditions based on the time-series based operation simulation.
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      As the connections of variable energy resources (VER) to the distribution system are recently delayed due to the limited expansion of the network facilities, the accurate calculation of the hosting capacity for VER has become an issue in the distribut...

      As the connections of variable energy resources (VER) to the distribution system are recently delayed due to the limited expansion of the network facilities, the accurate calculation of the hosting capacity for VER has become an issue in the distribution system. The utilities would decide to integrate additional VER in a similar way as they have done for the conventional distributed resources. However, this method can be too conservative for VER. The capacity factors of VER are usually low due to their dependency on the weather and the correlation with the electric loads is quite high. Therefore, the criteria for allowing those connection should be based on the probable operating conditions rather than the maximum output based operation condition. For doing this, this paper proposes the method of calculating the capacity of the distribution system for hosting VER considering the probable operating conditions based on the time-series based operation simulation.

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      목차 (Table of Contents)

      • Abstract
      • 1. 서론
      • 2. 배전계통의 변동성 전원 수용한계
      • 3. 시계열 모의운영 기반의 변동성 전원 수용한계
      • 4. 사례연구
      • Abstract
      • 1. 서론
      • 2. 배전계통의 변동성 전원 수용한계
      • 3. 시계열 모의운영 기반의 변동성 전원 수용한계
      • 4. 사례연구
      • 5. 결론
      • References
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      참고문헌 (Reference)

      1 "The 8th Basic Plan for Long-term Electricity Supply and Demand" MOTIE 1002-1020, 2017

      2 "Technical Guideline for Connecting Distributed Generator to Distribution System"

      3 "Stochastic Analysis to Determine Feeder Hosting Capacity for Distributed Solar PV" EPRI 2012

      4 Sherif M. Ismael, "State-of-the-art of hosting capacity in modern power systems with distributed generation" 130 : 1002-1020, 2018

      5 Hassan Al-saadi, "Probabilistic Hosting Capacity for Active Distribution Networks" 13 : 2519-2532, 2017

      6 Danling Cheng, "Photovoltaic(PV)Impact Assessment for Very High Penetration Levels" 6 : 295-300, 2016

      7 M. Karimi, "Photovoltaic penetration issues and impacts in distribution network A review" 53 : 594-605, 2016

      8 Fei Ding, "On Distributed PV Hosting Capacity Estimation, Sensitivity Study, and Improvement" 8 : 1010-1020, 2017

      9 Houman Pezeshki, "Impact of High PV Penetration on Distribution Transformer Insulation Life" 29 : 1212-1220, 2014

      10 P. J. F. Torres, "Electricity Distribution" 119-151, 2016

      1 "The 8th Basic Plan for Long-term Electricity Supply and Demand" MOTIE 1002-1020, 2017

      2 "Technical Guideline for Connecting Distributed Generator to Distribution System"

      3 "Stochastic Analysis to Determine Feeder Hosting Capacity for Distributed Solar PV" EPRI 2012

      4 Sherif M. Ismael, "State-of-the-art of hosting capacity in modern power systems with distributed generation" 130 : 1002-1020, 2018

      5 Hassan Al-saadi, "Probabilistic Hosting Capacity for Active Distribution Networks" 13 : 2519-2532, 2017

      6 Danling Cheng, "Photovoltaic(PV)Impact Assessment for Very High Penetration Levels" 6 : 295-300, 2016

      7 M. Karimi, "Photovoltaic penetration issues and impacts in distribution network A review" 53 : 594-605, 2016

      8 Fei Ding, "On Distributed PV Hosting Capacity Estimation, Sensitivity Study, and Improvement" 8 : 1010-1020, 2017

      9 Houman Pezeshki, "Impact of High PV Penetration on Distribution Transformer Insulation Life" 29 : 1212-1220, 2014

      10 P. J. F. Torres, "Electricity Distribution" 119-151, 2016

      11 Mehdi Zeraati, "Distributed Control of Battery Energy Storage Systems for Voltage Regulation in Distribution Networks With High PV Penetration" 9 : 3582-3593, 2018

      12 Y. Wang, "Coordinated Control of Distributed Energy Storage Systems for Voltage Regulation in Distribution Networks" 3 : 1132-1141, 2016

      13 P. Mohammadi, "Challenges of PV Integration in Low-Voltage Secondary Networks" 32 : 525-535, 2017

      14 Florin Capitanescu, "Assessing the Potential of Network Reconfiguration to Improve Distributed Generation Hosting Capacity in Active Distribution Systems" 30 : 346-356, 2015

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2007-01-01 평가 학술지 통합 (기타) KCI등재
      2001-01-01 평가 등재학술지 유지 (등재유지) KCI등재
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.27 0.27 0.24
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.21 0.19 0.366 0.08
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