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The Bees Algorithm Tuned Sliding Mode Control for Load Frequency Control in Two-Area Power System

Mokhtar Shouran, Fatih Anayi, Michael Packianather

2021Energies40 citationsDOIOpen Access PDF

Abstract

This paper proposes a design of Sliding Mode Control (SMC) for Load Frequency Control (LFC) in a two-area electrical power system. The mathematical model design of the SMC is derived based on the parameters of the investigated system. In order to achieve the optimal use of the proposed controller, an optimisation tool called the Bees Algorithm (BA) is suggested in this work to tune the parameters of the SMC. The dynamic performance of the power system with SMC employed for LFC is studied by applying a load disturbance of 0.2 pu in area one. To validate the supremacy of the proposed controller, the results are compared with those of recently published works based on Fuzzy Logic Control (FLC) tuned by Teaching–Learning-Based Optimisation (TLBO) algorithm and the traditional PID optimised by Lozi map-based Chaotic Optimisation Algorithm (LCOA). Furthermore, the robustness of SMC-based BA is examined against parametric uncertainties of the electrical power system by simultaneous changes in certain parameters of the testbed system with 40% of their nominal values. Simulation results prove the superiority and the robustness of the proposed SMC as an LFC system for the investigated power system.

Topics & Concepts

Control theory (sociology)Robustness (evolution)Electric power systemSliding mode controlHarmony searchPID controllerTestbedParametric statisticsControl engineeringComputer scienceAutomatic frequency controlFuzzy logicRobust controlControl systemEngineeringPower (physics)Control (management)Nonlinear systemMathematicsTemperature controlArtificial intelligenceElectrical engineeringChemistryComputer networkQuantum mechanicsBiochemistryStatisticsGeneTelecommunicationsPhysicsFrequency Control in Power SystemsMicrogrid Control and OptimizationPower System Optimization and Stability
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