[期刊论文][Text]


Optimal placement of phasor measurement units using clustered gravitational search algorithm

作   者:
K. Banumalar;K. Banumalar;B.V. Manikandan;B.V. Manikandan;K. Arul Jeyaraj;K. Arul Jeyaraj;K. Chandrasekaran;K. Chandrasekaran;

出版年:2018

页     码:4315 - 4330
出版社:IOS Press


摘   要:

This paper presents a new multi-objective problem formulation based optimal placement of Phasor Measurement Units (PMUs) considering the power system observability and reliability conditions. In this proposed method, Optimal Placement of PMUs (OPP) are determined to satisfy two objectives simultaneously such as minimizing the number of PMUs for achieving the complete observability and maximizing the reliability for better operation of power systems. Since the above two objectives are conflicting in nature, Fuzzified Clustered Gravitational Search Algorithm (FCGSA) is proposed to solve Multi-objective Optimal Placement of PMUs (MOPP) problem to provide a good tradeoff solution between the competing objectives. The fuzzy membership for each objective function is designed and proposed to determine the best solution of MOPP problem. Conventional rules are applied to minimize the number of PMUs and a new rule is developed to maximize the observability as well as reliability of the power systems. It helps the system operators to make necessary remedial actions to prevent the outage of the low reliability bus. The proposed method is validated on IEEE 14, 30 and 57 bus systems. The most effective strategy of allocating the optimal number of PMUs and their locations is demonstrated by comparing its performance with other methods reported in the available literatures.



关键字:

Phasor measurement unit; optimal placement; clustered gravitational search algorithm; fuzzy set theory; multi-objective problem


所属期刊
Journal of Intelligent & Fuzzy Systems
ISSN: 1064-1246
来自:IOS Press