A Distributed Optimization Algorithm for Attack-Resilient Wide-Area Monitoring of Power Systems: Theoretical and Experimental Methods

2014 ◽  
pp. 350-359 ◽  
Author(s):  
Jianhua Zhang ◽  
Prateek Jaipuria ◽  
Aranya Chakrabortty ◽  
Alefiya Hussain
Keyword(s):  
Power Systems ◽  
Optimization Algorithm ◽  
Distributed Optimization ◽  
Experimental Methods ◽  
Wide Area ◽  
Wide Area Monitoring ◽  
Area Monitoring

scholarly journals Minimizing the Total Cost of WAMS Using Artificial Electric Field Algorithm

2021 ◽  
Vol 15 ◽  
pp. 51-62
Author(s):  
Batool. B. Al-Khraisat ◽  
Ali. S. AL-Dmour ◽  
Khaled. S. Al Maitah
Keyword(s):  
Electric Field ◽  
Power Systems ◽  
Power System ◽  
Optimization Algorithm ◽  
Cost Model ◽  
Wide Area ◽  
Measuring Device ◽  
Wide Area Monitoring ◽  
Realistic View ◽  
Area Monitoring

Wide area monitoring system (WAMS) is one of the most important technologies in modern power systems, it gathers the synchronized time stamped measurements from wide area across power system through a high reporting measuring device such as synchronized phasor measurement units (PMUs).Due to the high cost of PMU itself and its installation cost, it is often difficult to install PMU at each bus in the power system. However, there are several approaches to solve the optimal PMU placement (OPP) with various optimization algorithms. In this paper, a realistic cost model has been proposed to provide optimal PMUs placement (OPP). The proposed model has been solved using artificial electric field algorithm (AEFA), which is a novel optimization algorithm, it was proposed by 2019. In this paper, a binary form of AEFA has been proposed to solve the proposed cost model. AEFA has been implemented in MATALB programming environment, and the results demonstrate that the proposed cost model provides a realistic view of WAMS cost. Additionally, the results have been compared with other optimization algorithm, and it demonstrates that the AEFA is efficient to solve the OPP problem.

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