Towards optimal placement of phasor measurement units for smart distribution systems

2014 ◽  
Author(s):  
Emad Jamil ◽  
Mohd Rihan ◽  
M. A. Anees
Keyword(s):  
Distribution Systems ◽  
Phasor Measurement Units ◽  
Optimal Placement ◽  
Phasor Measurement ◽  
Measurement Units

scholarly journals Phasor Measurement Units Optimal Placement and Performance Limits for Fault Localization

2020 ◽  
Vol 38 (1) ◽  
pp. 180-192 ◽  
Author(s):  
Mahdi Jamei ◽  
Raksha Ramakrishna ◽  
Teklemariam Tesfay ◽  
Reinhard Gentz ◽  
Ciaran Roberts ◽  
...  
Keyword(s):  
Fault Localization ◽  
Phasor Measurement Units ◽  
Optimal Placement ◽  
Performance Limits ◽  
Phasor Measurement ◽  
Measurement Units ◽  
And Performance

A Novel Binary Whale Optimization Algorithm-Based Optimal Placement of Phasor Measurement Units

2018 ◽  
pp. 115-138 ◽  
Author(s):  
Tapan Prakash ◽  
Vinay Pratap Singh ◽  
Soumya Ranjan Mohanty
Keyword(s):  
Optimization Algorithm ◽  
Phasor Measurement Units ◽  
Operating Conditions ◽  
Whale Optimization Algorithm ◽  
Area Measurement ◽  
Optimal Placement ◽  
Wide Area Measurement System ◽  
Phasor Measurement ◽  
Whale Optimization ◽  
Measurement Units

Wide-area measurement system (WAMS) is an important part of present power system structure as it provides real-time synchronized measurements of the system with the aid of phasor measurement units (PMUs). Due to economic considerations, PMUs should be installed at optimal locations. The optimal placement of PMUs (OPP) is a problem of optimally placing PMUs at strategic locations maintaining the full observability of the system. In this chapter, a novel binary whale optimization algorithm (BWOA) is applied to solve OPP problem. The maximization of measurement redundancy is considered in the objective function. The proposed algorithm is examined on five different test systems operating under normal operating conditions with or without inclusion of zero-injection buses (ZIBs) and compared with the reports available in literature. The results show the effectiveness of the proposed algorithm in solving OPPP.

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