The Experts below are selected from a list of 190569 Experts worldwide ranked by ideXlab platform
Wenyuan Li - One of the best experts on this subject based on the ideXlab platform.
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Power System Operation risk assessment using credibility theory
IEEE Transactions on Power Systems, 2008Co-Authors: Yongqing Feng, Wenchuan Wu, Boming Zhang, Wenyuan LiAbstract:Failure probability of System components may vary with the changes of weather, environment and other Operation conditions. The time-varying or condition-based failure probability can be represented using a fuzzy model. Based on credibility theory, this paper presents a novel Operation risk assessment method to handle the two-fold uncertainty combining randomness and fuzziness in Power System Operations. In the proposed method, a random fuzzy model is developed to accommodate impacts due to various Operation conditions and other factors on the failure probability of System components. The WECC nine-bus System, IEEE 14-bus System and an actual Power System in Northeast China were used to demonstrate feasibility and applicability of the presented method. The Operation risk assessment module using the proposed method has been embedded in the EMS System in a district control center of a Power company to perform real-time Operation risk assessment.
Chongqing Kang - One of the best experts on this subject based on the ideXlab platform.
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Impact of High Renewable Penetration on the Power System Operation Mode: A Data-Driven Approach
IEEE Transactions on Power Systems, 2020Co-Authors: Qingchun Hou, Ning Zhang, Chongqing KangAbstract:The high penetration of renewable energy will substantially change the Power System Operation. Traditionally, the annual Operation of a Power System can be represented by some typical Operation modes and acts as the basis for the Power-System-related analysis. The introduction of highly penetrated renewable energy will make the Power System Operation mode highly diversified and variable. These modes may not follow traditional empirical patterns. In this paper, we propose a data-driven method based on high-dimensional Power System Operation data (including Power flow, unit generation, and load demand) to identify the pattern of the Operation modes and analyze the impact of high renewable penetration. Specifically, the proposed data-driven method is composed of simulation, preprocessing, clustering, dimension reduction, and visualization with the aim to provide an intuitive understanding of the Operation mode variety under high renewable penetration. In addition, several indices are introduced to quantify the space dispersion, time variation, and seasonal consistency of Operation modes. A case study on actual Qinghai provincial Power System in China validates the effectiveness of the proposed data-driven method and indicates that the dispersion and time variation of Operation mode will significantly increase in the beginning and then saturate with the increase in renewable penetration level. The Operation mode is also less correlated with seasons in renewable energy dominated Power System.
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steady state Power flow model of energy router embedded ac network and its application in optimizing Power System Operation
IEEE Transactions on Smart Grid, 2018Co-Authors: Jianqiang Miao, Ning Zhang, Chongqing Kang, Jianxiao Wang, Yi Wang, Qing XiaAbstract:The energy router is an emerging device concept that is based on an advanced Power electronic technique. It is able to realize flexible and dynamic electric Power distribution in Power Systems analogous to the function of information routers in the Internet. It is of great interest to investigate how the energy router can be used to optimize Power System Operation. This paper formulates the steady-state Power flow model of the energy router embedded System network and the related optimal Power flow formulation. The role of the energy router in providing extra flexibility to optimize the System Operation is studied. Case studies are carried out on a modified IEEE RTS-79 System and a modified IEEE 118 bus System with the energy router. The results show that the energy router is able to optimize the Operation of the Power System through controlling the Power injections and voltage of ports of the energy router. Operating objective such as adjusting branch Power flow, improving bus voltage, and reducing active Power losses of the grid can be reached under different objective functions.
M Piekutowski - One of the best experts on this subject based on the ideXlab platform.
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risk assessment for Power System Operation planning with high wind Power penetration
IEEE Transactions on Power Systems, 2015Co-Authors: M Negnevitsky, Dinh Hieu Nguyen, M PiekutowskiAbstract:Integration of wind Power generation (WPG) is increasing rapidly worldwide. The variability and uncertainty of wind energy may lead to significant load-generation imbalances resulting in large frequency deviations, hence increasing System Operational risks, especially in small and isolated Power Systems with low inertia and limited capabilities of providing frequency responses. This raises the need for investigating alternatives to current Power System Operation planning approaches to cope with the uncertain nature of the intermittent generation. This paper presents a risk assessment approach to analyze Power System security for Operation planning under high penetration of wind Power generation. The proposed approach deals with not only steady-state voltage and overload evaluations, but also frequency response adequacy. For fast identification of Operational limit violations in the proposed risk assessment method, we develop an analytical procedure for approximating frequency response and assessing the consequences of limit violations without performing dynamic simulations. As a result, the frequency response adequacy assessment can be run simultaneously with the steady-state voltage and overload evaluations. The proposed risk assessment approach is illustrated via its application to a model of a Power System with high wind Power penetration.
You Yi - One of the best experts on this subject based on the ideXlab platform.
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The Research on Remote Control Technology of Power System Operation Cockpit Based on Application Virtualization
Energy Procedia, 2017Co-Authors: Huang Jinhua, Gu Bochuan, Tang Shengwei, You YiAbstract:Abstract With the development of smart grid construction of China Southern Power Grid and the promotion of the integration strategy for Power grid companies at all levels, the Power grid Operation System will gradually become standardized, integrated and intelligent. Since the requirements of safety and stabilization for dispatching are growing, the problem of managing multiple Power grid Operation Systems should be solved urgently. However, with complicated structures, POC(Power System Operation Cockpit) is difficult to monitor and control these Operation Systems. For the reasons above, this thesis presents a remote control technology based on application virtualization. This technology achieves the remote monitoring, controlling and management of various heterogeneous Power grid Operation Systems by building application delivery centres as well as servers and virtualization clients, provided both secure and efficient remote access across applications. It provides technical supports for integrated monitoring and controlling of Operation Systems.
Yongqing Feng - One of the best experts on this subject based on the ideXlab platform.
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Power System Operation risk assessment using credibility theory
IEEE Transactions on Power Systems, 2008Co-Authors: Yongqing Feng, Wenchuan Wu, Boming Zhang, Wenyuan LiAbstract:Failure probability of System components may vary with the changes of weather, environment and other Operation conditions. The time-varying or condition-based failure probability can be represented using a fuzzy model. Based on credibility theory, this paper presents a novel Operation risk assessment method to handle the two-fold uncertainty combining randomness and fuzziness in Power System Operations. In the proposed method, a random fuzzy model is developed to accommodate impacts due to various Operation conditions and other factors on the failure probability of System components. The WECC nine-bus System, IEEE 14-bus System and an actual Power System in Northeast China were used to demonstrate feasibility and applicability of the presented method. The Operation risk assessment module using the proposed method has been embedded in the EMS System in a district control center of a Power company to perform real-time Operation risk assessment.