电工技术学报  2023, Vol. 38 Issue (7): 1737-1750    DOI: 10.19595/j.cnki.1000-6753.tces.211946
电力系统与综合能源 |
基于小波耗散能量谱的电力系统强迫振荡源定位
姜涛1, 高浛1, 李筱静2, 陈厚合1, 李国庆1
1.现代电力系统仿真控制与绿色电能新技术教育部重点实验室(东北电力大学) 吉林 132012;
2.国网吉林省电力有限公司 长春 130021
Forced Oscillation Source Location in Power System Using Wavelet Dissipation Energy Spectrum
Jiang Tao1, Gao Han1, Li Xiaojing2, Chen Houhe1, Li Guoqing1
1. Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology Ministry of Education Northeast Electric Power University Jilin 132012 China;
2. State Grid Jilin Electric Power Company Changchun 130021 China
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摘要 快速、准确地定位强迫振荡源是抑制电力系统强迫功率振荡的关键。目前,基于广域量测信息的电力系统强迫振荡源定位方法大多基于时域耗散能量流理论,其计算过程较为复杂,计算效率有待提高。首先,提出一种基于小波耗散能量谱(WDES)的电力系统强迫振荡源频域定位方法,该方法首先将电力系统广域测量信息进行连续小波变换,得到各广域量测信息的小波系数矩阵;然后,根据获得小波系数矩阵定义小波耗散能量谱,阐述小波耗散能量谱和传统时域耗散能量流的关联关系;进而,由小波耗散能量谱的跃变特性确定系统的强迫振荡频率;再根据各发电机在强迫振荡频率处的小波耗散能量谱准确定位振荡源;最后,将所提方法应用到WECC-179节点测试系统和ISO New England中进行仿真和验证,结果验证了所提方法的准确性和有效性。
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姜涛
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关键词 强迫振荡振荡源定位连续小波变换耗散能量流小波耗散能量谱    
Abstract:Fast and accurate location of the forced oscillation source is the key to eliminate the forced oscillation source. At present, most of the methods for locating forced oscillation sources in power systems adopt the theory of dissipating energy flow (DEF) in time domain via wide-area measurement information. However, when the traditional time-domain DEF is used to determine the oscillation source, the required wide-area measurement information needs to be converted into "time-domain, frequent-domain, time-domain" to extract the time-domain component of forced oscillation in the wide-area measurement information, so as to improve the accuracy of the oscillation source location. The calculation process is relatively complex and the computational efficiency is low. solve this problem, this paper proposes a method of locating the forced oscillation source in the frequency domain based on the wavelet dissipation energy spectrum (WDES), and realizes the forced oscillation source localization in the frequency domain to improve the computational efficiency of the oscillation source localization.
Firstly, the wavelet coefficient matrix of each wide area measurement information is obtained by using continuous wavelet transform (CWT). On this basis, the CWT multiplication formula is combined with the traditional time-domain DEF formula to construct the WDES, and the relationship between the WDES and time-domain DEF is proved. Then, the trend of the WDES was analyzed, and the forced oscillation frequency of the system was determined according to its jump characteristics. Further, the WDES of each generator at the forced oscillation frequency is extracted to locate the forced oscillation source accurately. Finally, the proposed method is evaluated by WECC 179-bus test system and ISO New England system.
The simulation results show that the proposed method can accurately and effectively locate the single oscillation source, double oscillation source and real oscillation source in WECC 179-bus test system and ISO New England system, respectively. At the same time, compared with the traditional time-domain DEF method and time-frequency DEF method, the computational efficiency of the proposed method is improved by 32.78% and 31.39%, respectively, in the single oscillation source location of WECC 179-bus test system in scenario 1. In the single oscillation source location of WECC 179-bus test system in scenario 2, the computational efficiency of the proposed method is improved by 32.17% and 31.47% compared with the traditional time-domain DEF method and time-frequency DEF method, respectively. In the ISO New England system, compared with the traditional time-domain DEF method and time-frequency DEF method, the computational efficiency of the proposed oscillation source location method is improved by 30.10% and 24.16%, respectively. Obviously, the proposed method has higher computational efficiency of the forced oscillation source.
The following conclusions can be drawn from the simulation analysis: (1) the proposed method based on WDES can accurately and effectively locate the forced oscillation source from the wide-area measurement information of the power system. (2) Compared with the localization method of DEF in time-domain and time-frequency domain, the proposed localization method of forced oscillation source in frequency domain based on WDES effectively improves the computational efficiency of forced oscillation source. (3) The proposed WDES is equivalent to the time-domain DEF and the time-frequency DEF. It can be considered as a form of time-domain DEF and time-frequency DEF in frequency domain. From the perspective of frequency domain energy spectrum, it provides a new solution for locating power system forced oscillation source through the field measurements.
Key wordsForced oscillation    oscillation source location    continuous wavelet transform    dissipated energy flow    wavelet dissipated energy spectrum   
收稿日期: 2021-11-30     
PACS: TM712  
基金资助:国家自然科学基金委员会-国家电网公司智能电网联合基金(U2066208)和国家自然科学基金(51877033)资助项目
通讯作者: 姜 涛 男,1983年生,博士,教授,博士生导师,研究方向为电力系统安全性与稳定性、可再生能源集成、综合能源系统。E-mail:t.jiang@aliyun.com   
作者简介: 高 浛 男,1998年生,硕士研究生,研究方向为电力系统强迫振荡分析。E-mail:gaohan105784@aliyun.com
引用本文:   
姜涛, 高浛, 李筱静, 陈厚合, 李国庆. 基于小波耗散能量谱的电力系统强迫振荡源定位[J]. 电工技术学报, 2023, 38(7): 1737-1750. Jiang Tao, Gao Han, Li Xiaojing, Chen Houhe, Li Guoqing. Forced Oscillation Source Location in Power System Using Wavelet Dissipation Energy Spectrum. Transactions of China Electrotechnical Society, 2023, 38(7): 1737-1750.
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