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With increase in environmental concerns, the idea of generating pollution‐free electricity like solar photovoltaic energy (SPV) is explored among researchers and industrialists. Despite the fact that photovoltaic is a direct and simple method of power production, it has lesser effectiveness in terms of quantum effect. The incident solar irradiance on the surface of the photovoltaic module heats the...
This research article explains about the implementation of a novel PD-PID cascaded controller for automatic generation control of a two area multisource interconnected power system where in each area three types of generating sources are incorporated namely gas, hydro and thermal unit. Teaching learning based optimization technique is used for optimization of the scaling factors of the proposed PD-PID...
This research paper describes the automatic generation control of a three thermal interconnected system where each area is provided with a reheat thermal unit. The dynamic stability of this multi-area system is regulated by PD-PID cascaded controller optimized by grey wolf optimization algorithm. Each area is provided by proper generation rate constraints (GRC) in order to consider system nonlinearities...
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...
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,...
This article describes the automatic generation control of a two area multi-unit interconnected power system with Proportional-Integral-Derivative controller with Filter (PIDF) tuned by teaching learning based optimization (TLBO) algorithm. Each area is equipped with three reheat thermal units with hydraulic amplifiers. The gains of the PIDF controllers are simultaneously optimized by applying a step...
This paper focuses on the load frequency control of two area interconnected reheat thermal systemwith 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 1in consideration of integral time absolute error(ITAE) as the objective function. The dynamic performances of the system...
This research article discuss about the optimal fuzzy-PID controller tuned by hybrid differential evolution-particle swarm optimization (DEPSO) for automatic generation control of a two area multi-unit interconnected power system. Here the scaling parameters of the suggested controllers are tuned considering a step load perturbation (SLP) of 0.01p.u. in the area1.In each area of the scrutinized 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...
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