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作 者:刘舒 张宇 薛花 王育飞 何阳 李杨 LIU Shu;ZHANG Yu;XUE Hua;WANG Yufei;HE Yang;LI Yang(Electric Power Research Institute of State Grid Shanghai Electric Power Company, Shanghai 200437, China;College of Electrical Engineering, Shanghai University of Electric Power, Shanghai 200090, China;Siyang Electric Power Supply Company, State Grid Jiangsu Electric Power Company, Suqian 223700, Jiangsu Province, China)
机构地区:[1]国网上海市电力公司电力科学研究院,上海市200437 [2]上海电力学院电气工程学院,上海市200090 [3]国网江苏省电力公司泗阳县供电公司,江苏省宿迁市223700
出 处:《电力建设》2018年第4期15-21,共7页Electric Power Construction
基 金:国家重点研发计划项目(2016YFB0101800);国家电网公司总部科技项目(52094016000F)~~
摘 要:储能系统因具有平滑可再生能源发电并网功率的作用而应用日益广泛,但储能系统的非线性、非高斯、快速动态变化特性,使得其典型工况的实时监测和准确识别成为保障系统稳定运行的关键和难点所在。针对传统非线性自回归(nonlinear autoregressive,NAR)模型中估计参量较多的问题,提出采用Laguerre扩展分析方法提高双谱估计的准确度,设计新型的基于Laguerre-NAR双谱估计的储能系统典型工况识别方法,在较小数据信息情形下,准确提取信号相位信息,并实现高频率分辨率的快速识别。针对储能系统用于风电并网功率平滑的实测数据进行仿真分析,仿真结果验证了所提出的Laguerre-NAR双谱估计方法的有效性和可行性。The energy storage system is widely used because of the role of power smoothing of renewable energy generation. But the nonlinear,non Gauss and fast dynamic characteristics of energy storage system make the real-time monitoring and accurate identification of typical working conditions become the key and difficulty of ensuring the stable operation of the system. In view of the large number of estimation parameters in the traditional nonlinear autoregressive( NAR) model,this paper proposes the Laguerre expansion analysis method to improve the accuracy of bispectrum estimation,and designs a new identification method for typical operating conditions of energy storage system based on Laguerre-NAR bispectrum estimation,which can extracts the signal phase information accurately and realizes the fast recognition of high frequency resolution. Simulation analysis is carried out on the measured data of energy storage system for wind power integration power smoothing. The simulation results verify the effectiveness and feasibility of the proposed Laguerre-NAR bispectrum estimation method.
关 键 词:Laguerre扩展 双谱估计 储能系统 工况识别
分 类 号:TM91[电气工程—电力电子与电力传动]
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