Deepak Kumar Lal

Comparative performances evaluation of FACTS devices on AGC with diverse sources of energy generation and SMES

Abstract This paper deals with automatic generation control of multi area power system using a Fuzzy PID controller. The controller parameters are optimized by Grey Wolf Optimizer (GWO) algorithm. Initially, Hydro-Thermal-Gas two area power systems is considered and superiority of the proposed controller is verified by comparing the results with GWO optimized classical PID controller as well as recently published optimal controller, such as DE-PID and TLBO-PID controllers. The proposed methodology is also verified with a modified power system with a nuclear plant and HVDC link and reveals better performance when compared with sliding mode controller tuned by TLBO algorithm. The proposed controller is designed to stabilize the frequency deviations of nonlinear power system considering FACTS devices and SMES. The results reveal that IPFC seems to be a promising alternative for frequency and tie-line power stabilization. Also the proposed controller is robust and satisfactory towards random step and sinusoidal load patterns.

Performance evaluation of MFO algorithm for AGC of a multi area power system

This paper presents Automatic Generation Control (AGC) of interconnected three unequal areas reheat thermal power systems with generation rate constraint of 3%/min. The performance of several classical controllers such as I, PI, PID, IDD and PID plus second order derivative filter on dynamic response of the power system considering one percent Step Load Perturbation (SLP) in area-1 have been investigated. For tuning the controller parameters a new nature inspired algorithm named Moth-Flame Optimization (MFO) algorithm has been proposed. The performance of MFO algorithm is also evaluated by comparing the results with recently published results for the similar power system. Time domain specification is presented for analysis of system performance.

Application of Moth Flame Optimization Algorithm for AGC of Multi-Area Interconnected Power Systems

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Load frequency control of wind diesel hybrid power system using DE algorithm

This paper proposes differential evolution (DE) algorithm based PID controller for pitch control of the isolated wind-diesel hybrid power system. Simulation of a hybrid power system model has been carried out in a time domain analysis with a step load change of 1%. The wind and diesel power generators frequency and power deviations responses are presented and analyzed. The results are compared with conventional optimal PI controller and GA optimized PID controller. Furthermore, the dynamic performance of the system is studied for 1-4% step load perturbation. Finally, sensitivity analysis is carried out by varying the system parameters from their nominal values.

Load Frequency Control of AC Microgrid Interconnected Thermal Power System

In this paper, a microgrid (MG) power generation system is interconnected with a single area reheat thermal power system for load frequency control study. A new meta-heuristic optimization algorithm i.e. Moth-Flame Optimization (MFO) algorithm is applied to evaluate optimal gains of the fuzzy based proportional, integral and derivative (PID) controllers. The system dynamic performance is studied by comparing the results with MFO optimized classical PI/PID controllers. Also the system performance is investigated with fuzzy PID controller optimized by recently developed grey wolf optimizer (GWO) algorithm, which has proven its superiority over other previously developed algorithm in many interconnected power systems.

Control of period doubling bifurcation in an SMIB power system using adaptive controller based on LaSalle’s invariant principle

Abstract This paper presents when system parameter falling into certain area, the single machine infinite bus system with excitation limits experience period doubling bifurcation. When the parameters are further changed the system shows chaotic oscillations. To control this, an adaptive controller based on LaSalle’s invariant principle is designed. The control method does not need any analytical knowledge about the system dynamics and operates without any proper information of the preferred steady state position. Numerical simulation results show the effectiveness of the controller and also it help to maintain the stable operation of the power system.