分布式电站网络结构及并网研究

doi:10.16088/j.issn.1001-6600.2019.03.003

摘要/Abstract

摘要： 分布式电站相互连接,形成分布式电站网络,在分布式电站网络中,也有着不同的组成结构,这些结构就是一个小子网,本文称之为分布式电站子网。本文首先提取分布式电站网络中3种基本的组成结构进行研究,分别为线形结构、环形结构和星形结构;然后对比3种不同结构的分布式电站子网接入IEEE30及IEEE57系统下的网络平均距离及同步能力,发现在3种分布式电站子网中,星形分布式电站子网的中心节点接入电网时,网络平均距离最小且同步能力最好;最后将分布式电站连接为类星形的BA分布式电站网络,并接入电网中进行研究。研究发现:第一,随着分布式电站网络规模的扩大,将分布式电站网络接入电网使得网络平均距离增大,并且对电网的同步能力会产生不利的影响;第二,随着BA分布式电站网络与配电网之间的连边数不断增加,使得网络平均距离减小,并且网络临界耦合强度在不断减小,并最终趋向一个稳定值。

关键词: 分布式电站, 分布式电站网络, 网络平均距离, 同步能力, 临界耦合强度

Abstract: Distributed power stations are interconnected to form a distributed power station network. In a distributed power station network, there are also different compositional structures. These structures are small subnets, which is called distributed power station subnets. Firstly, the three basic structures including linear structure, circular structure and star structure are studied in distributed power grid network. Next each subnet of the three different structures is respectively connected to IEEE30 and IEEE57 system. It is found that in the three distributed power station subnets, when the central node of the star distributed power station subnet is connected to the power grid, the network average distance is the smallest and the network synchronizability is the best, which shows that the star structure is best suited as a substation structure of a distributed power station subnet. Subsequently, the distributed power stations are connected as a star-like BA distributed power station subnet and are connected to the grid. It is found that with the expansion of the subnet scale of the distributed power stations, the average distance of the network will increase and the synchronizability of the power grid will be weakened. Meanwhile with the increasing of edges between the distributed power station subnet and the power grid, the network average distance decreases and the network synchronizability gets better and finally tends to a stable value.

Key words: distributed power station, distributed power station network, network average distance, synchronizability, critical coupling strength

中图分类号:

TM74

汪建伟,邹艳丽,王瑞瑞,周建. 分布式电站网络结构及并网研究[J]. 广西师范大学学报（自然科学版）, 2019, 37(3): 21-32.

WANG Jianwei,ZOU Yanli,WANG Ruirui,ZHOU Jian. Study on Network Structure and Grid Connection of Distributed Power Stations[J]. Journal of Guangxi Normal University(Natural Science Edition), 2019, 37(3): 21-32.

参考文献

[1] 李建林,马会萌,惠东.储能技术融合分布式可再生能源的现状及发展趋势[J].电工技术学报,2016,31(14):1-10,20.DOI:10.19595/j.cnki.1000-6753.tces.2016.14.001.
[2] 马钊,周孝信,尚宇炜,等.未来配电系统形态及发展趋势[J].中国电机工程学报,2015,35(6):1289-1298.DOI:10.13334/j.0258-8013.pcsee.2015.06.001.
[3] 汪小帆,李翔,陈关荣.复杂网络理论及其应用[M].北京:清华大学出版社,2006.
[4] 郑京,邹艳丽,何郁郁,等.两种分布式电站连接策略对网络动态特性的影响[J].广西师范大学学报(自然科学版),2015,33(2):15-21.DOI:10.16088/j.issn.1001-6600.2015.02.003.
[5] 傅杰,邹艳丽,谢蓉.基于复杂网络理论的电力网络关键线路识别[J].复杂系统与复杂性科学,2017,14(3):91-96.DOI:10.13306/j.1672-3813.2017.03.009.
[6] ROCCO C M,RAMIREZ-MARQUEZ J E.Identification of top contributors to system vulnerability via an ordinal optimization based method[J].Reliability Engineering and System Safety,2013,114:92-98.DOI:10.1016/j.ress.2013.01.003.
[7] 李彬,张洁,陈宋宋,等.基于复杂网络的电力通信网扩容保护策略[J].电网技术,2018,42(6):1974-1980.DOI:10.13335/j.1000-3673.pst.2017.2970.
[8] FILATRELLA G,NIELSEN A H,PEDERSEN N F.Analysis of a power grid using a Kuramoto-like model[J].The European Physical Journal B,2008,61(4):485-491.DOI:10.1140/epjb/e2008-00098-8.
[9] ROHDEN M,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):013123.DOI:10.1063/1.4865895.
[10]ROHDEN M,SORGE A,TIMME M,et al.Self-organized synchronization in decentralized power grids[J]. Physical Review Letters,2012,109(6):064101.DOI:10.1103/PhysRevLett.109.064101.
[11]BARABASI A L,ALBERT R.Emergence of scaling in random networks[J].Science,1999,286(5439):509-512.DOI: 10.1126/science.286.5439.509.
[12]蓝庆玉,邹艳丽,冯聪.电网在三种边攻击方式下的级联失效[J].计算物理,2012,29(6):943-948.DOI:10.19596/j.cnki.1001-246x.2012.06.021.
[13]傅杰,邹艳丽,谢蓉.结合网络动力学的电网关键节点识别[J].复杂系统与复杂性科学,2017,14(2):31-38.DOI:10.13306/j.1672-3813.2017.02.005.
[14]王意,邹艳丽,黄李,等.综合考虑局部和全局特性的电网关键节点识别[J].计算物理,2018,35(1):119-126.DOI:10.19596/j.cnki.1001-246x.7580.
[15]WANG Ziqi,HE Jinghan,NECHIFOR A,et al.Identification of critical transmission lines in complex power networks[J].Energies,2017,10(9):1294.DOI:10.3390/en10091294.
[16]SUN Yushu,TANG Xisheng,ZHANG Guowei,et al.Dynamic power flow cascading failure analysis of wind power integration with complex network theory[J].Energies,2018,11(1):63.DOI:10.3390/en11010063.
[17]王意,邹艳丽,李可,等.分布式电站入网方式对电网同步的影响[J].广西师范大学学报(自然科学版),2017,35(4):24-31.DOI:10.16088/j.issn.1001-6600.2017.04.004.
[18]黄李,邹艳丽,王意,等.分布式电站的3种入网方式比较研究[J].广西师范大学学报(自然科学版),2017,35(3):30-36.DOI:10.16088/j.issn.1001-6600.2017.03.004.

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