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机构地区:[1]Department of Automation,Tsinghua University [2]Faculty of Science and Technology,University of Macao
出 处:《Tsinghua Science and Technology》2008年第6期823-828,共6页清华大学学报(自然科学版(英文版)
摘 要:Under-frequency load shedding (UFLS) is used in the power industry to rescue systems facing extreme disturbances to avoid system collapse. Traditionally, many computations are repeated to seek the proper power system settings such that the UFLS provides the desired good performance for selected scenarios. An adaptive UFLS method based on the genetic algorithm was developed to automate the finding of optimal parameters to minimize the repetitive trial-error calculations. Simulations demonstrate that the method has better performance than previous schemes and reduces the time and effort of the repetitive simulations.Under-frequency load shedding (UFLS) is used in the power industry to rescue systems facing extreme disturbances to avoid system collapse. Traditionally, many computations are repeated to seek the proper power system settings such that the UFLS provides the desired good performance for selected scenarios. An adaptive UFLS method based on the genetic algorithm was developed to automate the finding of optimal parameters to minimize the repetitive trial-error calculations. Simulations demonstrate that the method has better performance than previous schemes and reduces the time and effort of the repetitive simulations.
关 键 词:under-frequency load shedding adaptive load shedding genetic algorithm
分 类 号:TM76[电气工程—电力系统及自动化]
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