• 제목/요약/키워드: Dynamic Thermal Rating

검색결과 21건 처리시간 0.021초

실시간 기상상태를 고려한 가용송전용량 산정 (Assessment of Available Transfer Capability (ATC) considering Real-time Weather Conditions)

  • 김동민;배인수;김진오
    • 전기학회논문지
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    • 제59권3호
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    • pp.485-491
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    • 2010
  • Total Transfer Capability (TTC) should be pre-determined in order to estimate Available Transfer Capability (ATC). Typically, TTC is determined by considering three categories; voltage, stability and thermal limits. Among these, thermal limits are treated mainly in this paper on the evaluation of TTC due to the relatively short transmission line length of Korea Electric Power Corporation (KEPCO) system. This paper presents a new approach to evaluate the TTC using the Dynamic Line Rating (DLR) for the thermal limit. Since the approach includes not only traditional electrical constraints but also real-time environmental constraints, this paper obtains more cost-effective and exact results. A case study using KEPCO system confirms that the proposed method is useful for real-time operation and the planning of the electricity market.

간접도체 방식을 이용한 가공송전선의 동적송전용량 추정 (Dynamic Line Rating Estimation Using Indirect Conductor Method in Overhead Transmission Lines)

  • 김성덕;이승수;장태인;강지원;이동일
    • 조명전기설비학회논문지
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    • 제18권5호
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    • pp.189-197
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    • 2004
  • 고가공도체의 최대허용전류인 열용량은 일반적으로 IEEE P738 기준에서 주어진 것과 같은 열평형 방정식을 기초로 계산된다. 이 정격은 기온, 풍속, 풍향 및 태양열과 같은 기상조건의 함수로 주어진다. 이러한 기상 파라미터들 중에 풍속은 그 값이 아주 작게 나타날 때 송전용량 결정에 강한 영향을 준다. 따라서 송전용량 모니터시스템에서 사용되는 풍속계 대부분은 낮은 감도와 실속 특성을 가지므로 부정확한 결과가 나타난다. 본 논문에서는 풍속계를 사용하지 않고 가공송전선의 동적송전용량을 결정하기 위한 새로운 방법을 도입한다. 풍속을 2개의 간접도체의 온도로 추정하고 실험을 통하여 추정풍속으로 구한 동적송전용량이 기상모델로 구한 결과와 매우 근접함을 밝혔다.

지중송전선로 실시간 송전용량 산정 시스템 개발(I) - 실시간 도체온도 산정 시스템 (The Dynamic Rating System(I) - Real Time Conductor Temperature Monitoring System)

  • 남석현;이충환;이수길;백주흠
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2002년도 하계학술대회 논문집 C
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    • pp.1455-1457
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    • 2002
  • The real-time dynamic rating system(DRS) can provide the maximum ampacity within required periods, so it can help the transmission-line operation more safely and efficiently. Because the conductor temperature is the main limit of increasing rating current, conductor temperature monitoring(CTM) technology is the basic to DRS. In this paper, real-time CTM was developed for 345kV XLPE cable in tunnel and we have also compared the CTM result of this study with the result according to IEC 287 and JCS 168 thermal parameters.

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송전선로의 이용률 평가 및 합리적 운영에 관한 연구 (A Study on Utilization Ratio and Operation of Transmission Lines)

  • 김동민;배인수;조종만;김진오
    • 대한전기학회논문지:전력기술부문A
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    • 제55권10호
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    • pp.426-432
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    • 2006
  • This paper describes the concepts of Static Line Rating (SLR) and Dynamic Line Rating (DLR) and the computational methods to demonstrate them. Calculation of the line capacity needs the heat balance equation which is also used for computing the reduced tension in terms of line aging. SLR is calculated with the data from the worst condition of weather throughout the year. Even now, the utilization ratio is obtained from this SLR data in Korea. DLR is the improved method compared to SLR. A process for DLR reveals not only improved line ratings but also more accurate allowed line ratings based on line aging and real time conditions of weather. In order to reflect overhead transmission line aging in DLR, this paper proposes the method that considers the amount of decreased tension since the lines have been installed. Therefore, the continuous allowed temperature for remaining life time is newly acquired. In order to forecast DLR, this paper uses weather forecast models, and applies the concept of Thermal Overload Risk Probability (TORP). Then, the new concept of Dynamic Utilization Ratio (DUR) is defined, replacing Static Utilization Ratio (SUR). For the case study, the two main transmission lines which are responsible for the north bound power flow in the Seoul metropolitan area are chosen for computing line rating and utilization ratio. And then line rating and utilization ratio are analyzed for each transmission line, so that comparison of the present and estimated utilization ratios becomes available. Finally, this paper proves the validity of predictive DUR as the objective index, with simulations of emergency state caused by system outages, overload and so on.

초전도 전력케이블의 열 등가 회로에 관한 연구 (A Study on the Equivalent Thermal Circuit for HTS Power Cable)

  • 이수길;이흥재
    • 한국초전도ㆍ저온공학회논문지
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    • 제12권1호
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    • pp.61-65
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    • 2010
  • To develop the thermal analysis method for the thermal behavior of HTS power cable system, cooled with sub-cooled liquid nitrogen, new thermo dynamic model for HTS cable system is introduced. The introduced thermal model is mainly modified from the thermal circuit following to IEC60287 for underground power cable systems such as XLPE or paper wrapped insulation cables. The thermal circuits for HTS cables are similar to the forced cooled underground cable system but the major thermal parameters and the configuration is apparently different to the normal cable systems so there has been no proposals in this field of analysing method. In this paper, 154kV HTS cable system has been introduced as an aspects of thermal models and a thermal circuit is proposed for the fundamentals on the dynamic rating systems for the HTS cable system. By using the thermal circuit developed in this paper, the optimal controls on the sub-cooling system's capacity become possible and it is expected to make the efficiency of HTS cable higher than conventional static controls.

시계열 기상 모델을 이용한 동적 송전 용량의 예측 (Prediction of Dynamic Line Rating by Time Series Weather Models)

  • 김동민;배인수;김진오;장경
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 추계학술대회 논문집 전력기술부문
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    • pp.35-38
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    • 2005
  • This paper suggests the method that forecast Dynamic Line Rating (DLR). Thermal Overload Risk (TOR) of next time is forecasted based on current weather condition and DLR value by Monte Carlo Simulation (MCS). To model weather element of transmission line for MCS, we will propose the use of weather forecast system and statistical models that time series law is applied. Also, through case study, forecasted TOR probability confirmed can utilize by standard that decide DLR of next time. In short, proposed method may be used usefully to keep safety of transmission line and reliability of supply of electric Power by forecasting transmission capacity of next time.

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가공송전선로의 AAR 적용 시 Risk Tolerance 분석을 이용한 계절별 최대 허용전류 산정 및 적용에 관한 연구 (Study on the Estimation of Seasonal Ambient Current for the Application of Ambient Adjusted Line Rating(AAR) in Overhead Transmission Lines Using Risk Tolerance(RT) Method)

  • 이재걸;배영재;송지영;신정훈;김용학;김태균;윤용범
    • 전기학회논문지
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    • 제66권1호
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    • pp.7-15
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    • 2017
  • Ambient Adjusted line Rating(AAR) method for overhead transmission lines considering Risk Tolerance(RT) was proposed in this paper. AAR is suitable for system operators to plan their operation strategy and maintenance schedule because this can be designed as a seasonal line rating. Several candidate transmission lines are chosen to apply the proposed method in the paper. As a result, it is shown that system reliability was significantly enhanced through maximizing transfer capability, solving the system constraints.

동적 송전 용량을 적용한 총 송전용량 및 가용송전용량 산정 (Calculation of TTC and ATC considering dynamic thermal limit)

  • 김동민;배인수;김진오
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2006년도 추계학술대회 논문집 전력기술부문
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    • pp.360-362
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    • 2006
  • 가용송전용량(Available Transfer Capability : ATC) 계산을 위해 우선 견정해야할 요소는 총 송전용량(Total Transfer Capability : TTC)이며 이는 일반적으로 열, 전압, 안정도 한계치에 의해 결정된다. 국내 계통의 송전선로 길이를 고려할 때, 이 세 가지 한계치 중 열 정격은 TTC 결정에 가장 큰 비중을 차지하는 요소이다. 따라서 본 논문은 열적 한계치에 동적 송전용량(Dynamic Line Rating : DLR)의 개념을 도입 하여 TTC를 결정하는 새로운 접근법을 제안한다. 이 방법은 기존의 방법에 비해 주변 환경의 물리적 변화에 따른 정확한 계산 결과를 제공함으로서, 실제 사용가능한 용량을 평가한다. 마지막으로 제안하는 방법의 유용성을 보이기 위해 IEEE-24 모선 RTS를 이용하여, 기존의 방법과 제안하는 방법을 비교하였다.

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FDS를 이용한 소화모형 화재거동의 시뮬레이션 (Simulation of Wood Crib Burning Behaviors by Using FDS)

  • 권성필;윤헌주;김형권;라용운;사공성호;신동일
    • 한국화재소방학회:학술대회논문집
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    • 한국화재소방학회 2008년도 추계학술논문발표회 논문집
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    • pp.76-79
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    • 2008
  • In this work wood crib burning behaviors have been simulated by using the FDS(Fire Dynamic Simulator) program. Wood cribs are regularly stacked arrays of wood sticks, and available for the performance rating of fire-extinguishers. On the basis of an angle iron supporter 26 layers of wood sticks have been stacked up. Each layer consists of 5 or 6 wood sticks which are placed in parallel, with a constant distance, and in alternating rows. They are laid between the horizontally adjacent sticks at the before last layer. The wood crib is ignited instantaneously by an amount of burning gasoline below. A comprehensive simulation of such a practical sophisticated combustion is still too difficult to realize with any currently available computer, although the performance of modern processors is getting better everyday. We could carry it out here through parallel computing on the HPC(High Performance Computing) cluster as the feasible alternative. At last the validation has been executed by means of temperature distribution data measured by the thermal video camera.

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Future Trends of AI-Based Smart Systems and Services: Challenges, Opportunities, and Solutions

  • Lee, Daewon;Park, Jong Hyuk
    • Journal of Information Processing Systems
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    • 제15권4호
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    • pp.717-723
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    • 2019
  • Smart systems and services aim to facilitate growing urban populations and their prospects of virtual-real social behaviors, gig economies, factory automation, knowledge-based workforce, integrated societies, modern living, among many more. To satisfy these objectives, smart systems and services must comprises of a complex set of features such as security, ease of use and user friendliness, manageability, scalability, adaptivity, intelligent behavior, and personalization. Recently, artificial intelligence (AI) is realized as a data-driven technology to provide an efficient knowledge representation, semantic modeling, and can support a cognitive behavior aspect of the system. In this paper, an integration of AI with the smart systems and services is presented to mitigate the existing challenges. Several novel researches work in terms of frameworks, architectures, paradigms, and algorithms are discussed to provide possible solutions against the existing challenges in the AI-based smart systems and services. Such novel research works involve efficient shape image retrieval, speech signal processing, dynamic thermal rating, advanced persistent threat tactics, user authentication, and so on.