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In this paper, the power system stabilizer (PSS) and flexible ac transmission system devices (FACTS) interaction is investigated. The objective of this work is to study and design a controller capable of doing the task of damping in less economical control effort, and to globally link all controllers of national network in an optimal manner, towards smarter grids. This can be well done if a specific...
The Bacterial Foraging (BF) optimization algorithm imitates the foraging behavior of Escherichia coli (E. coli) bacteria that exist in human intestine, whose foraging habit is modeled as a distributed optimization process. This paper applies the BF algorithm to design optimal controllers of a single-machine-infinite-bus (SMIB) system equipped with an interline power flow controller (IPFC). The system...
In this paper, the power system stabilizer (PSS) and Thyristor controlled phase shifter (TCPS) interaction is investigated. The objective of this work is to study and design a controller capable of doing the task of damping in less economical control effort, and to globally link all controllers of national network in an optimal manner, toward smarter grids. This can be well done if a specific coordination...
Design of an optimal controller requires optimization of multiple performance measures that are often noncommensurable and competing with each other. Design of such a controller is indeed a multi-objective optimization problem. Being a population based approach; genetic algorithm (GA) is well suited to solve multi-objective optimization problems. This paper investigates the application of GA-based...
An optimal design of state feedback controller as an UPFC using immune genetic algorithm (IGA) is presented. The potential of the UPFC supplementary state feedback controllers to enhance the dynamic stability is evaluated. The selection of the state feedback gains for the UPFC controllers is converted to an optimization problem with the time domain-based objective function which is solved by an IGA...
The problem of the linear optimal control (LOC) has been strongly involved with selecting the weighting matrices in the cost function. The cost function is parameterized by two matrices, Q and R that weight the state and control vectors, respectively. In fact, the challenge lies in how these weights are chosen. This paper introduces a method to design the elements of Q and R by using genetic algorithm...
This paper presents a new flexible voltage control strategy. The optimal voltage control is considered a multi-objective problem. A set of feasible solutions saved as Pareto frontier is searched by the jumping gene EA. Based on the solution set, a multiple criteria decision making technique is used to select a suitable one which is applied as the finial on-line solution under different preferences...
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