Binary particle swarm optimisation-based optimal substation coverage algorithm for phasor measurement unit installations in practical systems

被引:35
作者
Mishra, Chetan [1 ]
Jones, Kevin D. [2 ]
Pal, Anamitra [3 ]
Centeno, Virgilio A. [1 ]
机构
[1] Virginia Polytech Inst & State Univ, Bradley Dept Elect & Comp Engn, Blacksburg, VA 24061 USA
[2] Virginia Elect & Power Co Dba Dominion Virginia P, Richmond, VA 23219 USA
[3] Virginia Polytech Inst & State Univ, Virginia Bioinformat Inst, Network Dynam & Simulat Sci Lab, Blacksburg, VA 24061 USA
基金
美国国家科学基金会;
关键词
OPTIMAL PMU PLACEMENT; STATE ESTIMATION; POWER-SYSTEM; OBSERVABILITY; VOLTAGE;
D O I
10.1049/iet-gtd.2015.1077
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Phasor measurement units (PMUs) play an important role in the wide-area monitoring and protection of modern power systems. Historically, their deployment was limited by the prohibitive cost of the device itself. Therefore, the objective of the conventional optimal PMU placement problem was to find minimum number of devices, which when carefully placed throughout the network, maximised observability subject to different constraints. Due to improvements in relay technology, digital relays can now serve as both relays and PMUs. Under such circumstances, the substation installations consume the largest portion of the deployment cost, and not the devices themselves. Thus, for minimising cost of synchrophasor deployment, number of substation installations must be minimised. This study uses binary particle swarm optimisation to minimise number of substations in which installations must be performed for making all voltage levels observable, while being subject to various practical constraints. Standard IEEE systems have been used to explain the technique. Finally, a large-scale network of Dominion Virginia Power is used as the test bed for implementation.
引用
收藏
页码:555 / 562
页数:8
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