Effective Hybrid Optimization Algorithm for Power Oscillation Damping

2012 ◽  
Vol 622-623 ◽  
pp. 1168-1172
Author(s):  
Mahdiyeh Eslami ◽  
Hussain Shareef ◽  
Azah Mohamed ◽  
Mohammad Khajehzadeh
Keyword(s):  
Power System ◽  
New England ◽  
Optimization Algorithm ◽  
Optimization Method ◽  
Hybrid Optimization ◽  
Power System Stabilizers ◽  
Operation Conditions ◽  
Parameters Tuning ◽  
Power Oscillation Damping ◽  
Oscillation Damping

In this paper, a hybrid optimization method, GA-SQP, is presented in which the genetic algorithm (GA) is a stochastic method is combined with the sequential quadratic programming (SQP) method, which is a deterministic method. The power system stabilizers parameters tuning problem is converted to an optimization problem which is solved by hybrid GA-SQP optimization algorithm. The New England 10-unit 39-bus standard power system, under various operation conditions, is employed to illustrate the performance of the proposed method. The results are very encouraging and suggest that the hybrid GA-SQP algorithm is very efficient in damping improvement of the power system.

Derivative-Free Hybrid Optimization Method for Top Design of Satellite System

2011 ◽  
Vol 308-310 ◽  
pp. 2413-2417
Author(s):  
Ying Guo Chen ◽  
Shuai Lu ◽  
Xiao Lu Liu ◽  
Ying Wu Chen
Keyword(s):  
Optimization Algorithm ◽  
Gaussian Processes ◽  
Design Space ◽  
Optimization Method ◽  
Satellite System ◽  
Pattern Search ◽  
Hybrid Optimization ◽  
Hybrid Optimization Algorithm ◽  
Hybrid Optimization Method ◽  
Derivative Free

This paper combines a derivative-free hybrid optimization algorithm, generalize pattern search (GPS), with Treed Gaussian Processes (TGP) to create a new hybrid optimization algorithm. The goal is to use the method for top design of satellite system, in which the objective or constraint functions usually are computationally expensive black-box functions. TGP model partitions the design space into disjoint regions, and employs independent Gaussian Processes (GP) in each partition to represent the time consumption of true problem responses. Utilizing the TGP, we generate the new “promising” points, which are the combination of model-predicted values and estimated model errors. Then, these points are used to guide GPS search in the design space efficiently. The hybrid optimization method is applied to top design of multi-satellites cooperated observation. The results demonstrate that the proposed method can not only increase the chance of obtaining optimal solution but also cut down the cost of function evaluations.

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.

scholarly journals A hydro power system operation using Genetic Algorithms and mixed-integer nonlinear programming

2012 ◽  
Vol 20 (1) ◽  
pp. 1-9 ◽  
Author(s):  
P. Šulek
Keyword(s):  
Genetic Algorithms ◽  
Nonlinear Programming ◽  
Power System ◽  
Optimization Method ◽  
Hybrid Optimization ◽  
Mixed Integer ◽  
System Operation ◽  
Hydro Power ◽  
Power System Operation ◽  
Integer Nonlinear Programming

A hydro power system operation using Genetic Algorithms and mixed-integer nonlinear programmingThis paper proposes a new hybrid optimization method for solving a hydrothermal coordination problem. In general, the problem is decomposed into smaller hydro and thermal sub-problems which are solved separately. The hydro sub-problem is solved by the peak shaving method using the proposed hybrid optimization method. It combines genetic algorithms with the traditional numerical optimization method. The hybrid method has been applied to a real hydrothermal system, i.e., the Slovak power system. The results have proved the efficiency of the proposed method.

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