摘要
大规模新能源接入电力系统导致系统惯量水平降低,利用同步相量测量装置(phasor measurement unit,PMU)在线评估系统惯量水平具有重要意义,考虑到电力系统频率动态响应具有分区特性,以区域为单位开展在线惯量评估具备可行性。频率响应分区情况不仅与电网拓扑和参数有关,还与系统运行点、扰动类型和位置有关,固定的分区方案难以保证分区结果满足系统各种运行工况,同时,在实时分区场景下,对惯量参数辨识算法的快速性也提出了更高的要求。分析了电力系统区域惯量在线评估原理,阐明了频率动态响应实时分区的要求;随后,提出了频率动态实时分区方法,采用动态时间弯曲指标和k-medoids算法对全网节点频率响应实测曲线在线聚类,给出了基于卡尔曼滤波的区域惯量参数辨识算法,保证惯量参数计算满足实时性要求,进一步分析了各类误差源对系统分区和惯量参数辨识结果的影响;最后,在IEEE 39节点系统验证了所提方法的有效性、惯量实时跟踪能力和对不同运行场景的适应性。提出的电力系统区域惯量在线评估方法利用PMU实测频率响应实时更新电力系统分区情况,保证在各种运行点和扰动下区域频率响应的一致性,具备现场应用潜力。
The large-scale renewable energy penetration to the power system leads to the reduction of the system inertia. It is of great significance to use the synchronous phasor measurement unit(PMU) to estimate the system inertia level online. Considering the spatial distribution characteristics of the power system frequency dynamics, it is feasible to carry out the online inertia estimation in regions. The frequency response regioning is not only related to the power grid topologies and parameters, but also to the system operation points, disturbance types and locations. So, itis difficult for a single fixed regioning scheme to ensure that the regioning results meet various operating conditions of the power system. At the same time, the real-time regioning scenarios also puts forward higher requirements for the rapidity of the inertia parameter identifications. This paper analyzes the principle of the on-line estimation of the regional inertia of the power system, and expounds the requirements of the real-time regioning of the frequency dynamic response. Then, a dynamic real-time frequency partition method is proposed, which uses the dynamic time warping index and the k-medoids algorithm to cluster the measured frequency response curves of nodes in the whole network online. The inertia parameter identification based on the Kalman filter is given to ensure that the inertia parameter calculation meets the real-time requirements. The influence of various errors on the system regioning and inertia parameter identification results is further analyzed. Finally, the effectiveness, the real-time inertia tracking capability and the adaptability to different operation scenarios of the proposed method are verified in the IEEE 39 bus system. The online estimation of the regional inertia of the power system proposed in this paper uses the measured frequency response of the PMU to update the regioning of the power system in real time so as to ensure the consistency of the regional frequency response under various operating points and
作者
曹斌
原帅
刘家豪
王程
毕天姝
辛焕海
CAO Bin;YUAN Shuai;LIU Jiahao;WANG Cheng;BI Tianshu;XIN Huanhai(School of Electrical Engineering,Zhejiang University,Hangzhou 310058,Zhejiang Province,China;InnerMongolia Power Research InstituteBranch,Inner Mongolia Power(Group)Co.,Ltd.,Hohhot O10020,InnerMongoliaAutonomous Region,China;State Key Laboratory of Alternate Electrical Power System With Renewable Energy Sources(North China Electric Power University),ChangpingDistrict,Beijing 102206,China)
出处
《电网技术》
EI
CSCD
北大核心
2023年第3期930-940,共11页
Power System Technology
关键词
惯量评估
频率动态
频率空间分布
参数辨识
inertia estimation
frequency dynamics
frequency spatial distribution
parameter identificatio
