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机构地区:[1]河海大学能源与电气学院,江苏南京210098 [2]浙江电力调度通信中心,浙江杭州310007
出 处:《河海大学学报(自然科学版)》2012年第2期233-237,共5页Journal of Hohai University(Natural Sciences)
基 金:国家自然科学基金(50877024);河海大学自然科学基金(2009421411);中央高校基本科研业务费(2010B05914)
摘 要:在电力系统状态估计中引入多平衡机的思想,将其影响计入状态估计模型中,采用加权最小二乘法进行求解.同时,针对常规方法求导繁琐、微分代码灵活性差的问题,结合自动微分技术,实现了求导的自动化.对IEEE 4个标准算例的仿真记算表明:该方法能够完整地计及多平衡机对系统的影响,且采用AD技术方便了算法的实现,提高了算法的运行效率.A concept of multi-balancing machines is introduced and its influence on an electric power system is taken into consideration in the state estimation model.The weighted least squares method was used to solve the model.In order to solve the problems of complexity of differentiation and inflexibility of computer programming of traditional methods for state estimation,the automatic differentiation(AD) technology was applied to the proposed algorithm,realizing the automation of differentiation.The simulation results from four IEEE test systems show that the algorithm can take into full consideration the impact of multi-balancing machines on the electric power system,and the AD technology can facilitate the computation and improve the efficiency of the algorithm.
关 键 词:电力系统 状态估计 多平衡机 自动微分 ADOL-C
分 类 号:TM744[电气工程—电力系统及自动化]
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