基于潮流追踪的电网同步性能优化及鲁棒性分析

doi:10.19596/j.cnki.1001-246x.8137

计算物理 ›› 2020, Vol. 37 ›› Issue (5): 623-630.DOI: 10.19596/j.cnki.1001-246x.8137

• • 上一篇

基于潮流追踪的电网同步性能优化及鲁棒性分析

邹艳丽, 高正, 梁明月, 李志慧, 何铭

广西师范大学电子工程学院, 广西桂林 541004

收稿日期:2019-09-16 修回日期:2019-11-12 出版日期:2020-09-25 发布日期:2020-09-25
作者简介:邹艳丽(1972-),女,博士,教授,主要从事基于复杂网络理论的电力网络同步及稳定性研究,E-mail:zouyanli72@163.com
基金资助:
国家自然科学基金（11562003）及广西多源信息挖掘与安全重点实验室系统性研究课题基金（13-A-02-03）资助项目

Optimization of Synchronization Performance and Robustness Analysis in Power Grids Based on Power Tracing

ZOU Yanli, GAO Zheng, LIANG Mingyue, LI Zhihui, HE Ming

College of Electronic Engineering, Guangxi Normal University, Guilin, Guangxi 541004, China

Received:2019-09-16 Revised:2019-11-12 Online:2020-09-25 Published:2020-09-25

摘要/Abstract

摘要： 采用二阶类Kuramoto模型对电网进行合理建模，分别应用临界同步耦合强度和平均同步误差来描述电网的同步能力和鲁棒性.研究发现，发电机的功率分配对线路的传输功率影响较大，而电网中高负荷线路越多，网络越难同步.基于这一发现，首先在发电机功率均匀分配（EG）方式下，计算出每条线路的传输功率，然后基于潮流追踪算法提出一种发电机功率非均匀分配（TG）方式，即在发电总量不变的情况下，增大枢纽发电机节点的功率，减小边缘发电机节点的功率.该发电机功率分配策略可以在一定程度上降低网络的临界同步耦合强度，减小平均同步误差，改善电网的同步性能和鲁棒性.

关键词: 同步, 鲁棒性, 电网, 潮流追踪

Abstract: Kuramoto-like model is adopted to model a power grid reasonably. And critical synchronization coupling strength and average synchronization error are used to describe synchronization ability and robustness of a power grid, respectively. It is found that power distribution of generators has a great influence on transmission power of lines, and the more high-load lines in power grid, the more difficult the network synchronization. Based on the discovery, we calculate transmission power of each line under uniform power distribution method of generators (EG mode). Then, based on a power flow tracking algorithm, an non-uniform power distribution method (TG mode) of the generators is further proposed. With this method, as the total amount of power generated is given, power of the hub generator node is increased and power of the edge generator node is reduced. It shows that the new power distribution strategy reduces effectively critical synchronization coupling strength and average synchronization error. Thus the method improves synchronization performance and robustness of a power grid.

Key words: synchronization, robustness, power grids, power tracing

中图分类号:

TM711

邹艳丽, 高正, 梁明月, 李志慧, 何铭. 基于潮流追踪的电网同步性能优化及鲁棒性分析[J]. 计算物理, 2020, 37(5): 623-630.

ZOU Yanli, GAO Zheng, LIANG Mingyue, LI Zhihui, HE Ming. Optimization of Synchronization Performance and Robustness Analysis in Power Grids Based on Power Tracing[J]. CHINESE JOURNAL OF COMPUTATIONAL PHYSICS, 2020, 37(5): 623-630.

参考文献

[1] TANG L, LU J, WU X, et al. Impact of node dynamics parameters on topology identification of complex dynamical networks[J]. Nonlinear Dynamics, 2013, 73(1/2):1081-1097.
[2] LU L, CHEN D, REN X L, et al. Vital nodes identification in complex networks[J]. Physics Reports, 2016, 650:1-63.
[3] 孔江涛, 黄健, 龚建兴, 等. 基于复杂网络动力学模型的无向加权网络节点重要性评估[J]. 物理学报, 2018, 67(9):255-271.
[4] STROGATZ S H. Exploring complex networks[J]. Nature, 2001, 410(6825):268-276.
[5] 方锦清, 汪小帆, 郑志刚, 等. 一门崭新的交叉科学:网络科学(上)[J]. 物理学进展, 2007, 27(3):239-343.
[6] 方锦清. 非线性网络的动力学复杂性研究的若干进展[J]. 自然科学进展, 2007, 17(7):841-857.
[7] WANG Y, ZOU Y L, HUANG L, et al. Key nodes identification of power grid considering local and global characteristics[J].Chinese Journal of Computational Physics, 2018, 35(1):119-126.
[8] PAGANI G A, AIELLO M. From the grid to the smart grid, topologically[J]. Phys A, 2016, 449:160-175.
[9] 王光增, 曹一家, 包哲静, 等. 一种新型电力网络局域世界演化模型[J]. 物理学报, 2009, 58(6):3597-3602.
[10] MOTTER A E, MYERS S A, ANGHEL M, et al. Spontaneous synchrony in power-grid networks[J]. Nature Physics, 2013, 9(3):191-197.
[11] 卢鹏丽, 董璊, 曹乐. 聚类系数指标对复杂网络鲁棒性的影响分析[J]. 兰州理工大学学报, 2019, 45(03):101-107.
[12] YANG Y, TAKASHI N, ADILSON E M. Small vulnerable sets determine large network cascades in power grids[J]. Science, 2017, 358(6365).
[13] ZHANG X, ZHAN C Z, TSE C K. Modeling the dynamics of cascading failures in power systems[J]. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2017, 7(2):192-204.
[14] LAN Q Y,ZOU Y L,FENG C. Cascading failures of power grids under three attack strategies[J]. Chinese Journal of Computational Physics, 2012, 29(06):943-948.
[15] FILATRELLA G, NIELSEN A H, PEDERSEN N F. Analysis of a power grid using a Kuramoto-like model[J]. European Physical Journal B, 2008, 61(4):485-491.
[16] MORENO Y, PACHECO A F. Synchronization of Kuramoto oscillators in scale-free networks[J]. EPL, 2004, 68(4):511-534.
[17] ZOU Y L, WANG R R, WU L J, et al. Optimization of synchronization performance in power grids with local order parameters[J]. Chinese Journal of Computational Physics, 2019, 36(4):498-504.
[18] ROHDEN M, SORGE A, TIMME M, et al. Self-organized synchronization in decentralized power grids[J]. Physical Review Letters, 2012, 109(6):064101.
[19] 陈思谕, 邹艳丽, 王瑞瑞, 等. 电网输电线路耦合强度分配策略研究[J].复杂系统与复杂性科学, 2018, 15(02):45-53.
[20] ROHDEN M A, SORGE A, WITTHAUT D, et al. Impact of network topology on synchrony of oscillatory power grids[J]. Chaos:An Interdisciplinary Journal of Nonlinear Science, 2014, 24(1):1-19.
[21] BIALEK J. Topological generation and load distribution factor for supplement charge allocation in transmission open access[J]. IEEE Transaction on Power System, 1997, 12(3):1185-1190.
[22] KISCHEN D, ALLAN R, STRBAC G. Contribution of individual generators to loads and flows[J]. IEEE Transaction on Power System,1997,12(1):52-60.
[23] 曹昉, 舒雅丽, 李成仁. 基于分类潮流追踪法的特高压输电网损分摊[J]. 中国电力, 2018, 51(7):54-60.
[24] 任建文, 李莎, 严敏敏. 基于潮流跟踪算法的线路过负荷紧急控制策略[J]. 电网技术, 2013, 37(2):392-397.
[25] 杨克难, 吴浩, 郑宁浪. 一种基于潮流追踪的电力系统无功补偿方法[J]. 电力系统自动化, 2012, 36(8):45-51.
[26] LUCIA V G, ARTURO B, LUIGI F,et al. Analysis of dynamical robustness to noise in power grids[J]. IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 2017, 7(3):413- 421.
[27] MANIK D, ROHDEN M. Network susceptibilitis:Theory and applications[J]. Physical Review E, 2017, 95:012319.
[28] 谢开贵, 李春燕, 赵渊, 等. 电力系统功率分配的解析模型和算法[J]. 中国电机工程学报, 2005, 25(22):30-34.

基于潮流追踪的电网同步性能优化及鲁棒性分析

Optimization of Synchronization Performance and Robustness Analysis in Power Grids Based on Power Tracing

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