Optimal parameter coordination of power system stabilizers in multi-machine power systems employing harmony search

2009 ◽  
Author(s):  
Danyue Wu ◽  
Ting Huang ◽  
Guizhong Yang ◽  
Yan Yang ◽  
Wenxin Guo ◽  
...  
Keyword(s):  
Power Systems ◽  
Power System ◽  
Optimal Parameter ◽  
Harmony Search ◽  
Power System Stabilizers ◽  
Parameter Coordination

scholarly journals Wind integrated power system to reduce emission: An application of Bat algorithm

2021 ◽  
pp. 1-9 ◽  
Author(s):  
B. Venkateswara Rao ◽  
Ramesh Devarapalli ◽  
H. Malik ◽  
Sravana Kumar Bali ◽  
Fausto Pedro García Márquez ◽  
...  
Keyword(s):  
Power Systems ◽  
Power System ◽  
Power Plants ◽  
Optimal Parameter ◽  
Electrical Power ◽  
Bat Algorithm ◽  
Voltage Profile ◽  
Electrical Power Systems ◽  
Generation Cost ◽  
Automation Technology

The trend of increasing demand creates a gap between generation and load in the field of electrical power systems. This is one of the significant problems for the science, where it require to add new generating units or use of novel automation technology for the better utilization of the existing generating units. The automation technology highly recommends the use of speedy and effective algorithms in optimal parameter adjustment for the system components. So newly developed nature inspired Bat Algorithm (BA) applied to discover the control parameters. In this scenario, this paper considers the minimization of real power generation cost with emission as an objective. Further, to improve the power system performance and reduction in the emission, two of the thermal plants were replaced with wind power plants. In addition, to boost the voltage profile, Static VAR Compensator (SVC) has been integrated. The proposed case study, i.e., considering wind plant and SVC with BA, is applied on the IEEE30 bus system. Due to the incorporation of wind plants into the system, the emission output is reduced, and with the application of SVC voltage profile improved.

Eigenvalue Assignments in Multimachine Power Systems using Multi-Objective PSO Algorithm

2015 ◽  
Vol 4 (3) ◽  
pp. 33-48 ◽  
Author(s):  
Yosra Welhazi ◽  
Tawfik Guesmi ◽  
Hsan Hadj Abdallah
Keyword(s):  
Power Systems ◽  
Optimal Parameter ◽  
Pso Algorithm ◽  
Operating Conditions ◽  
Performance Indices ◽  
Power System Stabilizers ◽  
Nonlinear Simulation ◽  
Multi Objective ◽  
Electromechanical Modes ◽  
Wide Range

Applying multi-objective particle swarm optimization (MOPSO) algorithm to multi-objective design of multimachine power system stabilizers (PSSs) is presented in this paper. The proposed approach is based on MOPSO algorithm to search for optimal parameter settings of PSS for a wide range of operating conditions. Moreover, a fuzzy set theory is developed to extract the best compromise solution. The stabilizers are selected using MOPSO to shift the lightly damped and undamped electromechanical modes to a prescribed zone in the s-plane. The problem of tuning the stabilizer parameters is converted to an optimization problem with eigenvalue-based multi-objective function. The performance of the proposed approach is investigated for a three-machine nine-bus system under different operating conditions. The effectiveness of the proposed approach in damping the electromechanical modes and enhancing greatly the dynamic stability is confirmed through eigenvalue analysis, nonlinear simulation results and some performance indices over a wide range of loading conditions.

scholarly journals Robust tuning of power system stabilizers in multimachine power systems

2000 ◽  
Vol 15 (2) ◽  
pp. 735-740 ◽  
Author(s):  
Y.L. Abdel-Magid ◽  
M.A. Abido ◽  
A.H. Mantaway
Keyword(s):  
Power Systems ◽  
Power System ◽  
Power System Stabilizers

scholarly journals Artificial Intelligence-Based Power System Stabilizers for Frequency Stability Enhancement in Multi-machine Power Systems

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Aliyu Sabo ◽  
Noor Izzri Abdul Wahab ◽  
Mohammad Lutfi Othman ◽  
Mai Zurwatul Ahlam Mohd Jaffar ◽  
Hakan Acikgoz ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Power Systems ◽  
Power System ◽  
Frequency Stability ◽  
Power System Stabilizers ◽  
Stability Enhancement
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