Manoj Kumar Debnath

Application of grey wolves-based optimization technique in multi-area automatic generation control

In this work a recently reported novel meta-heuristic optimizer called grey wolf optimization(GWO) has been applied to optimize the weighty parameters in automatic generation control(AGC) of interconnected three unequal area thermal system, such as gain constant of PID controller (Kpi, KIi, Kdi). A three unequal area interconnected system is studied as a test system under different loading conditions, the nonlinearities nature of the system are considered into account to confirm the effectiveness of the grey wolf optimization in terms of suitable generation rate constraints(GRC). The result of GWO based PID controller is compared with bacteria foraging based optimization technique [5].

Application of Hybrid Differential Evolution–Grey Wolf Optimization Algorithm for Automatic Generation Control of a Multi-Source Interconnected Power System Using Optimal Fuzzy–PID Controller

Abstract This paper deals with an optimal hybrid fuzzy-Proportional Integral Derivative (fuzzy-PID) controller optimized by hybrid differential evolution–Grey Wolf optimization algorithm for automatic generation control of an interconnected multi-source power system. Here a two area system is considered; each area is provided with three types of sources namely a thermal unit with reheat turbine, a hydro unit and a gas unit. The dynamic performance of the system is analyzed under two cases: with AC tie-line and with AC-DC tie-line. The efficiency and effectiveness of the proposed controller is substantiated equally in the two cases. The sturdiness of the system is proved by varying the values of the system parameters. The supremacy of the recommended work is additionally ascertained by comparison with the recently published results like differential evolution optimized PID Controller and hybrid Local Unimodal Sampling-Teaching Learning based Optimization (LUS-TLBO) optimized fuzzy-PID controller. The dynamic performance of the system is observed in terms of settling time, peak overshoot and peak undershoot. Finally the analysis is extended by applying the proposed control technique in two different models namely (i) A three area unequal thermal system considering proper generation rate constraints (GRC) and (ii) A three area hydro-thermal system with mechanical hydro governor. These test results reveal the adaptability of the proposed method in multi-area interconnected power system.

Gravitational search algorithm (GSA) optimized fuzzy-PID controller design for load frequency control of an interconnected multi-area power system

This paper focuses on the load frequency control of two area interconnected reheat thermal system with fuzzy-PID controller optimized by gravitational search algorithm (GSA). The gains of the fuzzy-PID controllers are optimized by providing a step load perturbation (SLP) of 1% to area 1 in consideration of integral time absolute error (ITAE) as the objective function. The dynamic performances of the system are being analyzed with GSA and PSO optimized fuzzy-PID controllers. The supremacy of the proposed method is depicted in terms of settling time, peak overshoots and undershoots in comparison with a recently published results. Further the robustness of the system is proved by changing the system loading.

Optimal design of PD-Fuzzy-PID cascaded controller for automatic generation control

Abstract In this research paper a novel cascaded PD-Fuzzy-PID controller is recommended for a conventional hybrid-source unified power system for automatic generation control. The optimization of scaling parameters of the suggested PD-Fuzzy-PID controller is done by hybrid Grey Wolf Optimization-Teaching Learning Based Optimization (GWO-TLBO) technique. A sudden disturbance of 0.01 p.u. is considered in area 1 and ITAE is taken as the evaluative function in the recommended optimization process. The proposed work considers three different sources of generating systems namely, a hydro, a gas and a reheat thermal unit. Both AC tie-line and AC-DC tie-line is considered in analyzing the dynamic performances of the system. The robustness and sensitiveness of the proposed controller are further put to test for random load variations and nominal parameter variations. Analysis of the dynamic characteristics of the system is executed considering a number of time response specifications like settling time, peak overshoots and undershoots. During the analysis the optimum specifications obtained by the recommended technique are compared with some pre-published results in order to prove the supremacy of this novel controller over existing controllers. Further, the frequency stability of the system is improved by employing an UPFC in the system.

Design of optimal 2-DOF PID controller using GWO technique for automatic generation control of a multisource power system

In this research paper an optimal 2-Degree freedom of proportional-integral-derivative controller (2-DOF PID) tuned by grey wolf optimization(GWO) is suggested for automatic generation control (AGC) of a multi-source power system comprising of two areas where each area contains a thermal unit, a hydro unit and a gas unit. The active response of the system is observed under two cases: with AC tie-line and with AC-DC tie-line. The optimal values of the 2-DOF PID controllers are achieved by taking integral time absolute error (ITAE) as objective function with the application of a disturbance of 0.01p.u. in area 1. To show the supremacy of the proposed controller the results obtained is compared with pre-published result such as DE tuned PID controller. Numerous time domain parameters such as settling time, peak overshoots and peak undershoots are computed and compared with the pre-published results so as to show the superiority of the suggested controller.

2DOF-PID Controller-Based Load Frequency Control of Linear/Nonlinear Unified Power System

This paper describes about the Load Frequency Control (LFC) of an interconnected linear/nonlinear power system having two degree freedom of PID controller (2DOF-PID). The reheat thermal applied on a two-area system is considered for frequency control analysis by applying an abrupt load perturbation of 0.1 pu in area 1. Two systems are scrutinized for studying the load frequency control namely a linear system and a nonlinear system. The nonlinearities of the system are included by implementing governor with dead band (GDB) in each of the areas. The parameters of 2DOF-PID controllers are tuned on basis of Cuckoo Search Algorithm (CSA) considering time domain based fitness function, i.e., ITAE (Integral Time Absolute Error). For both types of system the dominance of 2DOF-PID controller is proved over conventional PID controller in terms of responses like minimum undershoot, settling time and peak overshoot. The supremacy of the recommended methodology is also established over some pre-published results.

Optimal Load Frequency Control of an Unified Power System with SMES and TCPS

TCPS (Thyristor-controlled phase shifter) and SMES (Super Conducting Magnetic Storage) are implemented in this research work to regulate the frequency of an interlocked two area power system. Two distinct PD + PID double-loop controller is recommended in each area for frequency regulation in the scrutinized system. The optimum controller gains are obtained using firefly algorithm considering ISE (Integral Square Error) as objective function. The system responses of this suggested model is examined by introducing a rapid load variation of 0.1 pu in area 1. The supremacy of the recommended PD + PID controller is established over PID controller considering several time response indices like peak overshoots, settling time and minimum undershoots. The toughness of the proposed system is also verified by amplifying the loading of the system.

SOS Algorithm Tuned PID/FuzzyPID Controller for Load Frequency Control with SMES

The article presents a newly advanced, novel and proficient symbiotic organism search optimization technique to resolve the stability problem of a power system. A two area reheat based thermal system is considered with the SOS tuned proportional-integral-derivative controller along with fuzzy-PID (FPID) controller separately. The supremacy of this designed power system is verified by introducing a disturbance on load of 0.15 p.u. in one control zone. The validation of the implemented SOS technique is analyzed by doing a comparison with the dynamic responses of the FPID controller over a two area reheat based thermal power system. Finally, a profound verification is achieved to analyze the robustness and non-linearity of the modeled controller by subjecting a 5% of generation rate constraints (GRCs) to the designed system with the existance of superconducting magnetic energy storage.

Design and Implementation of Whale Optimization Algorithm Based PIDF Controller for AGC Problem in Unified System

Design aspect of controller mechanism to regulate the load frequency in an interconnected generating system is usually regarded as an optimization issue with various constraints. As per the need of the designer, the controller must be designed to fulfill the desired requirements to yield a suitable solutions. This paper presents whale optimization algorithm (WOA) based conventional proportional integral derivative type controller where a filter is employed in the derivative part of the controller for a two area combined thermal power system. The derivative filter is included here to reduce the unwanted signal in the input side of the controller. In the optimization process time based error function is taken as fitness function (ITAE) for designing controller parameters. The performance ability of the controller is modeled with MATLAB Simulink package. The efficiency and dominace of recommended WOA tuned PIDF controller is compared with Jaya based PIDF controller using time domain simulations which validates the effectiveness of WOA based proposed controller employed in the aforesaid dual area combined power system.

Load frequency controller design using hybrid differential evolution particle swarm optimization (DEPSO) of an interconnected multi-source power system

This paper deals with the automatic generation control of a two area interconnected multi source power system using PID controller optimized by Hybrid DEPSO algorithm. Here in each area three types of of sources are being considered namely thermal, hydro and gas power plant. The system performance is analyzed with and without HVDC link. The gains of PID controllers are optimized considering integral time absolute error (ITAE). The dynamic response of the system is analyzed in terms of settling time, peak overshoot and peak undershoot by giving step load perturbation (SLP) in area 1. Further the result of proposed work is also compared with recently published result in order to show the supremacy of the proposed method.