Power system stability enhancement via excitation and FACTS-based stabilizers is thoroughly investigated in this paper. This study presents a singular value decomposition–based approach to assess and measure the controllability of the poorly damped electromechanical modes by different control inputs. The design problem of a power system stabilizer and different FACTS-based stabilizers is formul...

This paper presents an approach for the design of fuzzy logic power system stabilizers using genetic algorithms. In the proposed fuzzy expert system, speed deviation and its derivative have been selected as fuzzy inputs. In this approach the parameters of the fuzzy logic controllers have been tuned using genetic algorithm. Incorporation of GA in the design of fuzzy logic power system stabilizer...

This paper presents an approach for the design of fuzzy logic power system stabilizers using genetic algorithms. In the proposed fuzzy expert system, speed deviation and its derivative have been selected as fuzzy inputs. In this approach the parameters of the fuzzy logic controllers have been tuned using genetic algorithm. Incorporation of GA in the design of fuzzy logic power system stabilizer...

this paper presents a method for damping of low frequency oscillations (lfo) in a power system. the powersystem contains static synchronous series compensators (sssc) which using a chaotic harmony searchalgorithm (chsa), optimizes the lead-lag damping stabilizer. in fact, the main target of this paper isoptimization of selected gains with the time domain-based objective function, which is solve...

Presently, there are two main aspects which allow to reduce the operating as well as the cold reserve power to be kept ready by individual network partners in order to maintain the power system reliability. First, the transmission lines, generators and loads are interconnected into large-scale and complex integrated systems. An important benefit brought about by the interconnected operation is ...

In this paper, the design of a real-time control framework consisting of wide-area decentralized power system stabilizers (WD-PSSs) for enhancing transient stability and oscillatory stability of power systems is investigated. The design is based on reinforcement learning methods incorporating widearea measurements. The main goal of WD-PSSs is to stabilize a power system after a disturbance lead...

In this paper, multiobjective design of multi-machine Power System Stabilizers (PSSs) using Particle Swarm Optimization (PSO) is presented. The stabilizers are tuned to simultaneously shift the lightly damped and undamped electro-mechanical modes of all machines to a prescribed zone in the s-plane. A multiobjective problem is formulated to optimize a composite set of objective functions compris...

Genetic algorithms (GAs) have been widely used for global optimization problems. The GA performance depends highly on the choice of the search space for each parameter to be optimized. Often, this choice is a problem-based experience. The search space being a set of potential solutions may contain the global optimum and/or other local optimums. A bad choice of this search space results in poor ...