A hybrid neuro-fuzzy static var compensator stabilizer for power system damping improvement in the presence of load parameters uncertainty

Bacteria Foraging Optimization Algorithm based SVC damping controller design for power system stability enhancement

“…A robust control theory in designing SVC controller to damp out power system swing modes is presented in [7]. An adaptive network based fuzzy inference system (ANFIS) for SVC is presented in [8] to improve the damping of power systems. A multi input, single output fuzzy neural network is developed in [9] for voltage stability evaluation of the power systems with SVC.…”

Optimization Methods for Electric Power Systems: An Overview

“…GA, by contrast, access deep knowledge of systems problem by well-established models. GA has much more potential in power systems analysis and are also latest entry into the Hybrid AI techniques Application area/power system problems Fuzzy neural network systems Generation and distribution [180], relaying [181], fault diagnosis [182], load forecasting [183,184], reactive power control [185,186], generator maintenance scheduling [187] Fuzzy genetic systems Stability [188], Power systems control [189,190], economic dispatch [191] Fuzzy expert systems Power system planning [192] Fuzzy/ neural/expert/genetic systems Load forecasting [193,194], generation expansion planning [195], power system stabilizer [196] Simulated annealing with fuzzy/genetic/expert systems Reactive power planning [197], generator maintenance scheduling [198][199][200] AI fields and are getting most of the current attention. GA needs to be understood in relation to the computation requirements and convergence properties.…”

Design of Decentralized Fuzzy Logic Load Frequency Controller

“…In recent years, fuzzy system applications have received increasing attention in power system operation and control [16,17,19,24]. Fuzzy logic based controllers have been suggested as an appropriate choice to control non-linear system [17,18,20] and are being investigated as an alternative to conventional control.…”

“…Fuzzy logic-based control (FLC) has been become an important methodology in control engineering and has been rapidly gaining popularity among engineers during the past few years [16][17][18][20][21][22][23][24][25]. This increased popularity can be attributed to the fact that fuzzy logic provides a powerful vehicle that allows engineers to incorporate human reasoning in control algorithm.…”