Blind equalization via the use of generalized pattern search optimization and zero forcing sectionnally convex cost function

2006 ◽  
Author(s):  
A. Zaouche ◽  
I. Dayoub ◽  
J.M. Rouvaen
Keyword(s):  
Cost Function ◽  
Blind Equalization ◽  
Pattern Search ◽  
Zero Forcing ◽  
Generalized Pattern Search ◽  
Convex Cost ◽  
Search Optimization

scholarly journals A Generalized Pattern Search Algorithm Methodology for solving an Under-Determined System of Equality Constraints to achieve Power System Observability using Synchrophasors

2021 ◽  
Vol 2090 (1) ◽  
pp. 012125
Author(s):  
Nikolaos P. Theodorakatos ◽  
Miltiadis Lytras ◽  
Rohit Babu
Keyword(s):  
Power System ◽  
Cost Function ◽  
Search Algorithm ◽  
Pattern Search ◽  
Equality Constraints ◽  
Pattern Search Algorithm ◽  
Generalized Pattern Search ◽  
The Impact ◽  
Linear Cost ◽  
Number Of Iterations

Abstract The impact of the generalized pattern search algorithm (GPSA) on power system complete observability utilizing synchrophasors is proposed in this work. This algorithmic technique is an inherent extension of phasor measurement unit (PMU) minimization in a derivative-free framework by evaluating a linear objective function under a set of equality constraints that is smaller than the decision variables in number. A comprehensive study about the utility of such a system of equality constraints under a quadratic objective has been given in our previous paper. The one issue studied in this paper is the impact of a linear cost function to detect optimality in a shorter number of iterations, whereas the cost is minimized. The GPSA evaluates a linear cost function through the iterations needed to satisfy feasibility and optimality criteria. The other issue is how to improve the performance of convergence towards optimality using a gradient-free mathematical algorithm. The GPSA detects an optimal solution in a fewer number of iterations than those spent by a recursive quadratic programming (RQP) algorithm. Numerical studies on standard benchmark power networks show significant improvement in the maximum observability over the existing measurement redundancy generated by the RQP optimization scheme already published in our former paper.

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