scholarly journals Comparative Study of Popular Objective Functions for Damping Power System Oscillations in Multimachine System

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Naz Niamul Islam ◽  
M. A. Hannan ◽  
Hussain Shareef ◽  
Azah Mohamed ◽  
M. A. Salam
Keyword(s):  
Power System ◽  
Objective Function ◽  
Search Algorithm ◽  
Optimization Techniques ◽  
Stable Region ◽  
Objective Functions ◽  
Linearized Model ◽  
Oscillation Damping ◽  
Power System Oscillations ◽  
Damping Controller

Power oscillation damping controller is designed in linearized model with heuristic optimization techniques. Selection of the objective function is very crucial for damping controller design by optimization algorithms. In this research, comparative analysis has been carried out to evaluate the effectiveness of popular objective functions used in power system oscillation damping. Two-stage lead-lag damping controller by means of power system stabilizers is optimized using differential search algorithm for different objective functions. Linearized model simulations are performed to compare the dominant mode’s performance and then the nonlinear model is continued to evaluate the damping performance over power system oscillations. All the simulations are conducted in two-area four-machine power system to bring a detailed analysis. Investigated results proved that multiobjective D-shaped function is an effective objective function in terms of moving unstable and lightly damped electromechanical modes into stable region. Thus, D-shape function ultimately improves overall system damping and concurrently enhances power system reliability.

scholarly journals Optimal Reactive Power Scheduling Using Cuckoo Search Algorithm

2017 ◽  
Vol 7 (5) ◽  
pp. 2349 ◽  
Author(s):  
Surender Reddy Salkuti
Keyword(s):  
Power System ◽  
Reactive Power ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Optimization Techniques ◽  
Mixed Integer ◽  
Integer Programming Problem ◽  
Scheduling Problem ◽  
Power Scheduling

<p>This paper solves an optimal reactive power scheduling problem in the deregulated power system using the evolutionary based Cuckoo Search Algorithm (CSA). Reactive power scheduling is a very important problem in the power system operation, which is a nonlinear and mixed integer programming problem. It optimizes a specific objective function while satisfying all the equality and inequality constraints. In this paper, CSA is used to determine the optimal settings of control variables such as generator voltages, transformer tap positions and the amount of reactive compensation required to optimize the certain objective functions. The CSA algorithm has been developed from the inspiration that the obligate brood parasitism of some Cuckoo species lay their eggs in nests of other host birds which are of other species. The performance of CSA for solving the proposed optimal reactive power scheduling problem is examined on standard Ward Hale 6 bus, IEEE 30 bus, 57 bus, 118 bus and 300 bus test systems. The simulation results show that the proposed approach is more suitable, effective and efficient compared to other optimization techniques presented in the literature.</p>

Forced oscillation damping controller for an interconnected power system

2020 ◽  
Vol 14 (2) ◽  
pp. 339-347 ◽  
Author(s):  
Tossaporn Surinkaew ◽  
Rakibuzzaman Shah ◽  
Mithulananthan Nadarajah ◽  
S.M. Muyeen
Keyword(s):  
Power System ◽  
Forced Oscillation ◽  
Interconnected Power System ◽  
Oscillation Damping ◽  
Damping Controller

scholarly journals Application of SSSC-Damping Controller for Power System Stability Enhancement

10.29007/hpts ◽  
2018 ◽  
Author(s):  
Ankit Patel ◽  
Pranav Raval ◽  
Dhaval Patel
Keyword(s):  
Power System ◽  
Power Flow ◽  
Power System Stability ◽  
System Stability ◽  
Power Flow Control ◽  
Power Oscillation Damping ◽  
Rotor Angle Stability ◽  
Stability Enhancement ◽  
Oscillation Damping ◽  
Damping Controller

At present, power demand is increasing day by day so we have to transfer more power and for this we must have to improve stability limits of our power system. In this paper application of static synchronous series compensator (SSSC) for enhancement of power system stability is throughout investigated. SSSC is effectively utilized for power flow control in the power system. A SSSC-based damping controller is proposed for power oscillation damping and to improve the rotor angle stability. A improved control signal can be superimposed as a power flow control signal for SSSC damping controller to improve the rotor angle stability and power oscillation damping in system. Speed deviation of rotor is taken as the input signal to the SSSC damping controller. A single machine infinite bus system (SMIB) with SSSC is simulated in MATLAB/Simulink software. Simulation results shows the effectiveness of this controller for power system stability enhancement under different fault conditions.

Efficiency of grey wolf optimization algorithm for damage detection of skeletal structures via expanded mode shapes

2020 ◽  
Vol 23 (13) ◽  
pp. 2850-2865 ◽  
Author(s):  
Parsa Ghannadi ◽  
Seyed Sina Kourehli ◽  
Mohammad Noori ◽  
Wael A Altabey
Keyword(s):  
Objective Function ◽  
Damage Identification ◽  
Optimization Techniques ◽  
Mode Shapes ◽  
Grey Wolf ◽  
Objective Functions ◽  
Expansion Process ◽  
Grey Wolf Optimization ◽  
Skeletal Structures ◽  
Equivalent Reduction

Vibration-based structural damage identification through optimization techniques has become an interesting research topic in recent years. Dynamic characteristics such as frequencies and mode shapes are used to construct the objective function. The objective functions based on only frequencies are not very sensitive to damage in large structures. However, objective functions based on both mode shapes and frequencies are very effective. In real measurement condition, the number of installed sensors is limited, and there are no economic reasons for measuring the mode shapes at all degrees of freedom. In this kind of circumstances, mode expansion methods are used to address the incompleteness of mode shapes. In this article, the system equivalent reduction and expansion process is applied to determine the unmeasured mode shapes. Two experimental examples including a cantilever beam and a truss tower are investigated to show system equivalent reduction and expansion process’ efficiency in estimating unmeasured mode shapes. The results show that the technique used for expansion is influential. Damage identification is formulated as an optimization problem, and the residual force vector based on expanded mode shapes is considered as an objective function. In order to minimize the objective function, grey wolf optimization and Harris hawks optimization are used. Numerical studies on a 56-bar dome space truss and experimental validation on a steel frame are performed to demonstrate the efficiency of the developed approach. Both numerical and experimental results indicate that the combination of the grey wolf optimization and expanded mode shapes with system equivalent reduction and expansion process can provide a reliable approach for determining the severities and locations of damage of skeletal structures when it compares with those obtained by Harris hawks optimization.

Damping Controller Design for Power System Oscillations

2006 ◽  
Vol 12 (1) ◽  
pp. 51-62 ◽  
Author(s):  
Rusejla Sadikovic ◽  
Göran Andersson ◽  
Petr Korba
Keyword(s):  
Power System ◽  
Controller Design ◽  
Power System Oscillations ◽  
Damping Controller

Economic and Reliable Preventive Maintenance Scheduling in Power Systems by Using Binary Crow Search Algorithm

2021 ◽  
Vol 56 ◽  
pp. 182-198
Author(s):  
Adel A. Abou El Ela ◽  
Ragab El-Sehiemy ◽  
Abdullah M. Shaheen ◽  
Ayman S. Shalaby
Keyword(s):  
Power System ◽  
Preventive Maintenance ◽  
Search Algorithm ◽  
Economic Cost ◽  
Economic Benefits ◽  
Test System ◽  
Optimization Techniques ◽  
Maintenance Scheduling ◽  
Scheduling Problem ◽  
Matlab Programming

The generation system is an important part of the power system. The problem of generator maintenance scheduling is provided to construct optimal generators preventive maintenance schedules. It aims to improve economic benefits and achieve reliable operation of the power system while satisfying the system and maintenance constraints. In this paper, the binary crow search algorithm is proposed for solving the scheduling problem. This model would schedule maintenance scheme and commitment status of generating units while the objective functions are achieved. The crow search algorithm is a new meta-heuristic optimizer, which has its implementation very simple and easy compared to other optimization techniques. To verify the robustness and effectiveness of the proposed binary crow search optimizer, three test systems namely 6–unit, 21–unit system, and IEEE reliability test system are considered over the planning horizon of 52 weeks. The proposed optimizer is implemented in the MATLAB programming environment. Techno-economic aspects are considered for the generator's maintenance scheduling problem as reliability enhancement economic cost-minimizing issues. The proposed binary crow search optimizer is developed for single and multi-objective frameworks. The simulation results show the proposed binary crow search technique effectiveness and feasibility compared with previously optimizer in solving the generators maintenance scheduling problem with better convergence rate.

Minimization of losses and FACTS installation cost using proposed differential gravitational search algorithm optimization technique

2016 ◽  
Vol 23 (2) ◽  
pp. 235-251
Author(s):  
SN Deepa ◽  
J Rizwana
Keyword(s):  
Power System ◽  
Power Flow ◽  
Search Algorithm ◽  
Optimization Technique ◽  
Gravitational Search Algorithm ◽  
Optimal Location ◽  
Optimization Techniques ◽  
System Stability ◽  
Gravitational Search ◽  
Installation Cost

The optimal location of Flexible AC Transmission Systems (FACTS) controllers in a multi-machine power system using proposed differential gravitational search algorithm (DGSA) optimization method is proposed in this paper. The main objective of this paper is to employ DGSA optimization technique to solve optimal power flow problem in the presence of Unified Power Flow controller for improving voltage profile by reducing losses along with the installation cost thereby enhancing the power system stability. A differential operator is incorporated into the gravitational search algorithm for effective search of the better solution. Due to this, the convergence and accuracy will be faster. The IEEE-6 bus, IEEE-14 bus and IEEE-30 bus systems are tested along with three other optimization techniques to validate the effectiveness of this proposed method. This proposed algorithm presents an optimal location of FACTS devices in transmission lines.

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