4.6 Article

An Integral Tilt Derivative Control Strategy for Frequency Control in Multimicrogrid System

期刊

IEEE SYSTEMS JOURNAL
卷 15, 期 1, 页码 1477-1488

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JSYST.2020.2991634

关键词

Generators; Frequency control; Heuristic algorithms; Wind turbines; Microgrids; Optimization; Blades; Load frequency control; microgrid; multimicrogrid; PID controller; renewable energy sources

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The study introduces a novel microgrid automatic generation control ITDF controller based on ICA, showing its superiority through comparing dynamic responses and conducting sensitivity analysis to demonstrate its stability under various parameters and load disturbances.
The multimicrogrid system is a complicated nonlinear system, which brings performance degradation due to deficient damping under the unexpected fluctuation in power generation due to the presence of renewable sources, dynamically changing loading conditions, and parameter variations. Owing to this, to provide consistent electric power with superlative attribute, sturdy and intelligent control techniques are amazingly imperative in the automatic generation control of microgrid (MG). The application of imperialist competitive algorithm (ICA)-based fractional-order integral proportional derivative with filter (IPDF), i.e., integral tilt derivative with filter controller (ITDF) controller in frequency control in two areas interconnected MG (isolation mode) with renewable penetration, is a novel work. A maiden attempt of the ICA is proposed to optimize the gains of the ITDF controller utilizing the integral time absolute error criterion. To demonstrate the supremacy of ICA, its outcomes are contrasted with two existing optimization strategies, namely the genetic algorithm and the particle swarm optimization. The effectiveness of the proposed controller is revealed by contrasting the dynamic responses of multi microgrid (MMG) with proportional integral derivative with filter (PIDF) and tilt integral derivative with filter (TIDF) controllers. At last, a sensitivity investigation is performed to exhibit the power of the studied strategy to wide variations in the MG parameters, magnitude as well as the location of step/random load disturbance. The proposed MMG is simulated in MATLAB/Simulink environment.

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