Optimization Methods for Electric Power Systems: An Overview

Bansal, R.C.

doi:10.2202/1553-779x.1021

Cited by 129 publications

(58 citation statements)

References 114 publications

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“…Gas are well-known stochastic methods of global optimization based on the evolution theory of Darwin [4][5][6]. The GA is a method for solving both constrained and unconstrained optimization problems that is based on natural selection, the process that drives biological evolution.…”

Section: Overview Of Gamentioning

confidence: 99%

Solution of Economic Load Dispatch Problem with Smooth and Non-Smooth Fuel Cost Functions Including Line Losses Using Genetic Algorithm

El‐Fergany¹

2011

IJCEE

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Abstract-The paper presents an application of Genetic Algorithm (GA) to solve Economic Load Dispatch (ELD) problems with smooth and non-smooth fuel cost objective functions. Main objective of ELD is to determine the most economic generating dispatch required to satisfy the predicted load demands including line losses over a certain period of time while relaxing various equality and inequality constraints. The unit Min/Max operational constraints, effects of valve-point loading ripples and line losses are considered for the practical applications. Several cases were tested and verified, among of them, two cases of 6-units and 40-units systems including losses with smooth and non-smooth cost functions were tested, verified and compared with previous reported researches. Finally, it can be concluded that GA proves an excellent viability to optimize and solve problems of ELD. Numerical simulations indicate an improvement in total fuel cost savings.Index Terms-Economic load dispatch problem, Genetic Algorithm (GA), Smooth and non-smooth cost functions.

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Section: Overview Of Gamentioning

confidence: 99%

Solution of Economic Load Dispatch Problem with Smooth and Non-Smooth Fuel Cost Functions Including Line Losses Using Genetic Algorithm

El‐Fergany¹

2011

IJCEE

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“…Three broad categories of allocation techniques for determining best suited location of FACTS controllers are sensitivity based methods, optimization based method, and artificial intelligence based techniques [3]- [5].…”

Section: Classification Of Facts Controllers Allocation Techniquesmentioning

confidence: 99%

“…References [3]- [5], classify three broad categories such as a sensitivity based methods, optimization based method, and artificial intelligence based techniques for placement of FACTS controllers from different operating conditions viewpoint in multi-machine power systems. The various sensitivity based methods have been proposed in literatures includes eigen-value analysis based methods [6]- [12], modal analysis techniques [13]- [15], index methods [16]- [23], residue-based methods [24]- [25], [43], [168], [169], and other sensitivity based methods [26]- [37], [53], [157]- [167], [201].…”

Section: Introductionmentioning

confidence: 99%

“…Three broad categories such as a sensitivity based methods, optimization based method and artificial intelligence based techniques for coordination of FACTS controllers from different operating conditions in multi-machine power systems is classified in [5]. The various sensitivity based methods have been proposed in literatures includes eigenvalue analysis based methods [11], [88]- [96], [181]- [182], modal analysis techniques [97]- [103], residue-based methods [104], [105].…”

Section: Introductionmentioning

confidence: 99%

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A Comprehensive Survey of Optimal Placement and Coordinated Control Techniques of FACTS Controllers in Multi-Machine Power System Environments

Singh¹,

Sharma²,

Tiwari³

2010

Journal of Electrical Engineering and Technology

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-This paper presents exhaustive review of various methods/techniques for coordinated control between FACTS controllers in multi-machine power systems. It also reviews various techniques/methods for optimal choice and allocation of FACTS controllers. Authors strongly believe that this survey article will be very much useful to the researchers for finding out the relevant references in the field of placement and coordination of FACTS Controllers.

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“…Efficient coordination control of unified power flow controller (UPFC) installed in practical networks can result in minimizing operational costs, environmental protection, improved voltage regulation, power factor correction, and power loss reduction [1]. A wide rage of optimization techniques have been applied to solve the conventional OPF problems but no much treats this problem with consideration of dynamic FACTS devices [2], authors in [3] present a comprehensive survey for these techniques. OPF problem is an optimization problem with in general nonconvex, nonsmooth, and nondifferentiable objective functions.…”

Section: Introductionmentioning

confidence: 99%

Strategy based PSO for Dynamic Control of UPFC to Enhance Power System Security

Mahdad¹,

Bouktir²,

Srairi³

2009

Journal of Electrical Engineering and Technology

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-Penetration and installation of a new dynamic technology known as Flexible AC Transmission Systems (FACTS) in a practical and dynamic network requires and force expert engineer to develop robust and flexible strategy for planning and control. Unified Power Flow Controller (UPFC) is one of the recent and effective FACTS devices designed for multi control operation to enhance the power system security. This paper presents a dynamic strategy based on Particle Swarm Optimization (PSO) for optimal parameters setting of UPFC to enhance the system loadability. Firstly, we perform a multi power flow analysis with load incrementation to construct a global database to determine the initial efficient bounds associated to active power and reactive power target vector. Secondly a PSO technique applied to search the new parameters setting of the UPFC within the initial new active power and reactive power target bounds. The proposed approach is implemented with Matlab program and verified with IEEE 30-Bus test network. The results show that the proposed approach can converge to the near optimum solution with accuracy, and confirm that flexible multi-control of this device coordinated with efficient location enhance the system security of power system by eliminating the overloaded lines and the bus voltage violation.

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Optimization Methods for Electric Power Systems: An Overview

Cited by 129 publications

References 114 publications

Solution of Economic Load Dispatch Problem with Smooth and Non-Smooth Fuel Cost Functions Including Line Losses Using Genetic Algorithm

Solution of Economic Load Dispatch Problem with Smooth and Non-Smooth Fuel Cost Functions Including Line Losses Using Genetic Algorithm

A Comprehensive Survey of Optimal Placement and Coordinated Control Techniques of FACTS Controllers in Multi-Machine Power System Environments

Strategy based PSO for Dynamic Control of UPFC to Enhance Power System Security

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