Abstract
Photovoltaic (PV) microgridMicrogrid dynamicsDynamic is always uncertain and nonlinear in nature due to parameter variationVariation and environmentalEnvironmental effects. There is a need for an appropriate mathematical model to represent it. This work focuses on this issueIssue. Further, an optimalOptimal robust controllerController is required for inverterInverter controlControl of this PV microgridMicrogrid. A Sliding-Mode-ControlControl (SMC)-based controllerController can handle this problem. However, an SMC-based system needs full knowledge of system states. In absence of that information, these controllersController can’t be designed. An observer can be used to estimate the state variablesState variable. This chapter presents an extended observer-based double integral sliding mode controllerDouble Integral Sliding Mode Controller (DISMC) (ESO-DISMCDouble Integral Sliding Mode Controller (DISMC)). The controllerController parameters are optimizedOptimized using the water evaporation optimizationOptimization (WEO) algorithmAlgorithm. Results from this work are compared with that of Genetic AlgorithmGenetic algorithm (GA)- and Particle Swarm OptimizationParticle Swarm Optimization (PSO)-optimizedOptimized controllersController to verify the proposed controllerController's superiority over that of other controllersController.
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