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.

Standing Phase Angle Reduction Based on a Wide Area Monitoring System Using Genetic Algorithm

2010 ◽  
Vol 11 (3) ◽  
Author(s):  
Saber Nourizadeh ◽  
Ali Mohammad Ranjbar ◽  
Mahmoud R. Pishvaie ◽  
Morteza Sadeghi
Keyword(s):  
Genetic Algorithm ◽  
Power System ◽  
Monitoring System ◽  
Phase Angle ◽  
High Speed ◽  
Test System ◽  
Wide Area ◽  
Wide Area Monitoring ◽  
Novel Approach ◽  
Area Monitoring

During power system restoration, it is necessary to check the phase angle between two buses before closing circuit breakers to connect a line between them. A novel approach for reducing large standing phase angle (SPA) based on Genetic Algorithm (GA) is presented in this paper. The proposed approach starts with a state estimation on Wide Area Monitoring System (WAMS) data measurements and considering power system operation and angular stability constraints, seeks an optimal control action scenario for reducing SPA. Since these constraints are evaluated based on WAMS data, the presented approach is considerably high speed and accurate. As an optimization problem, objective function of the proposed approach is to minimize variation from the current state of the power system. Simulation results on the IEEE 118 bus test system clearly show efficiency of the approach.

scholarly journals Synchronized Phasor Measurements with GPS Time Stamping using 64 Point DFT in PMU

2020 ◽  
Vol 9 (4) ◽  
pp. 2435-2440
Keyword(s):  
Power System ◽  
Time Synchronization ◽  
Electrical Energy ◽  
Wide Area ◽  
Monitoring And Control ◽  
Wide Area Monitoring ◽  
New Energy ◽  
Accurate Comparison ◽  
Area Monitoring ◽  
System Frequency

This paper describes about the time synchronization of different locations voltage or current signals for accurate comparison of signals on single phasor graph, all the measured phasors are synchronized with Global Positioning System (GPS) time stamping. Day to day power demand increases very rapidly, to meet the growing demand of electrical energy new energy resources are required and manage them efficiently. For efficient allocation of sources there should be a good monitoring and fast control system. For better monitoring and control of the system accurately it requires “Wide Area Monitoring” of power system. In the wide area monitoring system collection of data from the power system should be at a faster level. The collection of data from the power system at faster level is possible by using “Phasor Measurement Units(PMUs)”. PMU collects the data at faster rate rates like 50-60 samples for cycle, this information is send to local Phasor Data Concentrator (PDC). Local phasor data concentrator collects the data from different PMUs which are located in different areas. This PDC helps to take the necessary action on power system. For synchronization, pulse per second(PPS) is taken from GPS module. From this 1PPS, 3200 pulses is generated for high accuracy of 64 point DFT of 50Hz signal using microcontroller. System frequency is calculated by using time period between the two consecutive raising edges or falling edges of square wave. This is in synchronous with the input sinusoidal signal.

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