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State Evaluation Based on Feature Identification of Measurement Data:for Resilient Power System

CSEE Journal of Power and Energy Systems 2022年第4期8卷 983-992页

作者： Hongxia Wang Bo Wang Peng Luo Fuqi Ma Yinyu Zhou Mohamed A.Mohamed School of Electrical Engineering and Automation Wuhan UniversityWuhan 430074China Huizhou Power Supply Bureau Co. Ltd.Huizhou516001Guangdong ProvinceChina Electrical Engineering Department Faculty of EngineeringMinia UniversityMinia 61519Egypt

Resilient power systems urgently need real-time evaluation of their operational *** mining the characteristics of the grid operational data and mapping them to the operational state,this paper proposes a method to evaluate the real-time state and the evolution direction of power ***,the state evaluation matrix is constructed using nodal ***,from the data-driven perspective,the grid state is embodied in the operational data ***,four indicators are proposed to characterize the power grid statefrom inherent physical and operating characteristics ***,through the simulations of a real power grid in China,it is shown that the method proposed in this paper can adequately characterize the power grid state,and is robust against bad data.

关键词： Data characteristics evolution direction random matrix theory real-time evaluation resilient power system

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Niche Genetic Algorithm with Accurate Optimization Performance

引用

Journal of China University of Mining and Technology 2005年第2期15卷 100-104页

作者： LIUJian-hua YANDe-kun SchooloflnformationandElectricalEngineering ChinaUniversityofMining＆TechnologyXuzhouJiangsu221008China SchooloflnformationandElectricalEngineering ChinaUniversityofMining＆TechnologyXuzhouJiangsu221008China／／DepartmentofMathematicsLinyiTeacher＇sUniversityLinyiShandong276005China

Based on crowding mechanism, a novel niche genetic algorithm was proposed which can record evolution- ary direction dynamically during evolution. After evolution, the solutions’s precision can be greatly improved by means of the local searching along the recorded direction. Simulation shows that this algorithm can not only keep population diversity but also find accurate solutions. Although using this method has to take more time compared with the standard GA, it is really worth applying to some cases that have to meet a demand for high solution precision.

关键词： niche genetic algorithm accurate optimization evolution direction

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