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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...
This paper presents an artificial neural network (ANN) based frequency controller design for multi-area Automatic Generation Control (AGC) scheme in a deregulated electricity market. The effect of Superconducting Magnetic Energy Storage (SMES) unit has also been considered to develop the model. SMES units have been used to the power systems to inject or absorb active power. The effect of generator...
The design of fuzzy logic controllers involves the rationalization of the Fuzzy Inferencing Rules and the appropriate selection of the input and output membership functions. This typically have been achieved by the application of expert knowledge of plant operation and by the appropriate selection of weighting gains. This paper presents the fuzzy logic controller with certain parameters which can...
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...
The effect of learning rate (LR) on the performance of a newly introduced evolutionary algorithm called population-based incremental learning (PBIL) is investigated in this paper. PBIL is a technique that combines a simple genetic algorithm (GA) with competitive learning (CL). Although CL is often studied in the context of artificial neural networks (ANNs), it plays a vital role in PBIL in that the...
This paper presents the tuning of power system stabilizer (PSS) parameters using a relatively new evolution algorithm called Breeder Genetic Algorithms (BGAs). BGAs are based on the concept of ldquothe survival of the fittestrdquo typical to Genetic Algorithms (GAs). The main difference between GAs and BGAs is that the evolution of BGAspsila population is based on artificial selection similar to the...
Power system stabilizer (PSS) is used to damp out local mode oscillations of synchronous generators. PSS are usually designed to provide a proper phase lead which is load dependent. Thus, PSS parameters have to be adjusted at each operating condition. A novel robust PSS design based on Taguchi principle is presented in this paper that can properly function over a wide range of operating conditions...
A single neuron controller including flexible AC transmission systems (FACTS) devices in power system is introduced. SVC and TCSC are plugged into the network as additional modules for small perturbation studies. The single neuron model is employed to form the composite model for improving the electro-mechanical mode of power system under probabilistic condition, and genetic algorithm is used to optimize...
Power system controller design based on an evolutionary algorithm called population based incremental learning (PBIL) is proposed in this paper. The problem of controller design is transformed into an optimization problem and the parameters of the controller are determined via PBIL. The proposed method has the advantage that it is simpler, faster and more efficient than both the classical trial and...
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