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.

scholarly journals OPTIMAL PLACEMENT OF PHASOR MEASUREMENT UNITS FOR POWER SYSTEM OBSERVABILITY WITHOUT CONSIDERING ZERO INJECTION BUSES

2012 ◽  
pp. 117-121
Author(s):  
RAJPAL SAINI ◽  
MANJU mam
Keyword(s):  
Fault Diagnosis ◽  
Power System ◽  
State Estimation ◽  
Phasor Measurement Units ◽  
Operating Conditions ◽  
Optimal Placement ◽  
Linear Algorithm ◽  
Phasor Measurement ◽  
Minimum Number ◽  
Measurement Units

This paper present a method to find minimum number of phasor measurement units (PMUs) for complete observability of power system network for normal operating conditions .A linear algorithm is used to determine the minimum number of PMUs needed to make the system observable without considering zero injection buses. For state estimation and fault diagnosis in power system synchronized snapshot of whole system must be necessary. The proposed method is used to benchmark the optimal PMUs placement solution for the IEEE 14-bus, IEEE 18-bus, IEEE 24-bus, IEEE 30-bus and IEEE 57-bus test systems.

Steady-state Security Assessment Based on K-Means Clustering Algorithm and Phasor Measurement Units

2020 ◽  
Vol 13 (4) ◽  
pp. 559-570
Author(s):  
Bassam A. Hemade ◽  
Hamed A. Ibrahim ◽  
Hossam E.A. Talaat
Keyword(s):  
Steady State ◽  
Clustering Algorithm ◽  
System Security ◽  
Phasor Measurement Units ◽  
Operating Conditions ◽  
Security Assessment ◽  
State Security ◽  
Phasor Measurement ◽  
Measurement Units ◽  
Silhouette Analysis

Background: The security assessment plays a crucial role in the operation of the modern interconnected power system network. Methods: Hence, this paper addresses the application of k-means clustering algorithm equipped with Principal Component Analysis (PCA) and silhouette analysis for the classification of system security states. The proposed technique works on three principal axes; the first stage involves contingency quantification based on developed insecurity indices, the second stage includes dataset preparation to enhance the overall performance of the proposed method using PCA and silhouette analysis, and finally the application of the clustering algorithm over data. Results: The proposed composite insecurity index uses available synchronized measurements from Phasor Measurement Units (PMUs) to assess the development of cascading outages. Considering different operational scenarios and multiple levels of contingencies (up to N-3), Fast Decoupled Power Flow (FDPF) have been used for contingency replications. The developed technique applied to IEEE 14-bus and 57-bus standard test system for steady-state security evaluation. Conclusion: The obtained results ensure the robustness and effectiveness of the established procedure in the assessment of the system security irrespective of the network size or operating conditions.

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
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