BITS Faculty Publications
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Item Fuzzy logic-based controller for three area power system(ICFAI, 2009) Mathur, Hitesh DattThe paper presents a fuzzy application to the area of Load Frequency Control (LFC) using fuzzy logic-based integral controller. The study is designed for a three area interconnected power system with generation rate constraint. Simulation results of the proposed fuzzy controller are presented. It is shown that the proposed controller can generate good dynamic response, following a step load change. The robustness of the proposed controller is achieved by analyzing the system response with varying system parameters.Item Power Frequency Oscillation Suppression Using Two-Stage Optimized Fuzzy Logic Controller for Multigeneration System(Hindawi Publishing Corporation, 2016) Mathur, Hitesh DattThis paper attempts to develop a linearized model of automatic generation control (AGC) for an interconnected two-area reheat type thermal power system in deregulated environment. A comparison between genetic algorithm optimized PID controller (GA-PID), particle swarm optimized PID controller (PSO-PID), and proposed two-stage based PSO optimized fuzzy logic controller (TSO-FLC) is presented. The proposed fuzzy based controller is optimized at two stages: one is rule base optimization and other is scaling factor and gain factor optimization. This shows the best dynamic response following a step load change with different cases of bilateral contracts in deregulated environment. In addition, performance of proposed TSO-FLC is also examined for changes in system parameters with different type of contractual demands between control areas and compared with GA-PID and PSO-PID. MATLAB/Simulink® is used for all simulations.Item Fuzzy based HVDC regulation controller for load frequency control of multi-area system(Inder Science, 2012) Mathur, Hitesh DattThis paper investigates the load frequency control (LFC) problem for a multi-area power system taking into consideration system parameter variations. This paper proposes an intelligent control scheme for LFC of interconnected power systems. A fuzzy logic based integral controller is proposed for two-area power system interconnected via parallel AC/DC transmission link, which is also referred as asynchronous tie-lines. The linear model of AC/DC link with HVDC regulation controller is developed and the system responses to sudden load change are studied. The simulation studies are carried out for a two area interconnected power system with non-reheat steam turbine for simplicity and without loss of generality. Suitable solution for LFC problem of two-area electrical power system is obtained by means of improving dynamic performance of power system under study. Robustness of controller is also checked by varying parameters. Simulation results indicate that the proposed control scheme work well when compared with others.Item Impact of wind power generating system integration on frequency stabilization in multi-area power system with fuzzy logic controller in deregulated environment(Springer, 2014-12) Mathur, Hitesh DattAmong the available options for renewable energy integration in existing power system, wind power is being considered as one of the suited options for future electrical power generation. The major constraint of wind power generating system (WPGS) is that it does not provide inertial support because of power electronic converters between the grid and the WPGS to facilitate frequency stabilization. The proposed control strategy suggests a substantial contribution to system inertia in terms of short-term active power support in a two area restructured power system. The control scheme uses fuzzy logic based design and takes frequency deviation as input to provide quick active power support, which balances the drop in frequency and tie-line power during transient conditions. This paper presents a comprehensive study of the wind power impact with increasing wind power penetration on frequency stabilization in restructured power system scenario. Variation of load conditions are also analyzed in simulation studies for the same power system model with the proposed control scheme. Simulation results advocates the justification of control scheme over other schemes.Item A Novel Approach for Load Frequency Control of Interconnected Thermal Power Stations(IGI Global, 2012) Mathur, Hitesh DattThis paper presents a fuzzy logic controller for load frequency control (LFC) of multi-area interconnected power system. The study has been designed for a three area interconnected thermal power stations with generation rate constraint (GRC). Simulation results of the proposed fuzzy controller are presented and it has been shown that proposed controller can generate the good dynamic response following a step load change. Robustness of proposed controller is achieved by analyzing the system response with varying system parameters.Item A comprehensive analysis of intelligent controllers for load frequency control(IEEE, 2006) Mathur, Hitesh DattThis paper presents summaries of novel approaches of artificial intelligence (AI) techniques, like fuzzy logic, artificial neural network (ANN), hybrid fuzzy neural network (HFNN), genetic algorithm (GA) for the load frequency control of electrical power system. The limitations of conventional controls such as proportional, integral and derivative are slow and lack of efficiency in handling system nonlinearities. Since high frequency deviation may lead to system collapse, this necessitates an accurate and fast acting controller to maintain the constant nominal system frequency. The intelligent controllers are used for load frequency control for the single area system, multi area interconnected system. The performance of intelligent controllers with the conventional controllers has been thoroughly compared and analyzed