Improved Optimal Control of Transient Power Sharing in Microgrid Using H-Infinity Controller with Artificial Bee Colony Algorithm

Abstract

The microgrid has two main steady-state modes: grid-connected mode and islanded mode. The microgrid needs a high-performance controller to reduce the overshoot value that affects the efficiency of the network. However, the high voltage value causes the inverter to stop. Thus, an improved power-sharing response to the transfer between these two modes must be insured. More important points to study in a microgrid are the current sharing and power (active or reactive) sharing, besides the match percentage of power sharing among parallel inverters and the overshoot of both active and reactive power. This article aims to optimize the power response in addition to voltage and frequency stability, in order to make this network’s performance more robust against external disturbance. This can be achieved through a self-tuning control method using an optimization algorithm. Here, the optimized droop control is provided by the H-infinity (H∞) method improved with the artificial bee colony algorithm. To verify the results, it was compared with different algorithms such as conventional droop control, conventional particle swarm optimization, and artificial bee colony algorithms. The implementation of the optimization algorithm is explained using the time domain MATLAB/SIMULINK simulation model.

A Novel Hybrid Approach for Power Quality Improvement in a Vehicle-to-Grid Setup Using Droop-ANN Model

“…More than just the match% of power sharing among parallel inverters and the overshoot of both active and reactive power should be considered in microgrid study; the current sharing and power (active or reactive) sharing should also be considered. This study [13] is aimed at improving the voltage and frequency stability, as well as the power response, of the network so that it can better withstand exterior disturbances. A self-tuning control system uses an optimum method to achieve this.…”

H∞ artificial bee colony law strategy of six degrees of freedom Boeing 747-100 control augmentation

“…Sheida et al [37] showed another successful implementation of the PID and ABC algorithms for depth control of an autonomous submarine tanker by effectively reducing the steady-state and the overshoot more than without incorporating the ABC. Jouda and Kahraman [38] found that H∞ control performance can be enhanced with the ABC set of rules for stable electric grid applications. Superb performances are achieved over traditional droop control, and particle swarm optimization algorithms in reducing the overshoot, boosting the robustness against external disturbance.…”

“…The ABC algorithm outperforms swarm optimization, differential evolution, and genetic algorithm in the effectiveness optimisation techniques for executing weighting matrices used in optimal control theory. However, no broad applications have been noticed using the synthesis of the H∞ and ABC approach apart from recently being used for the electric network [38]. Even such that application does not represent a highly dynamic system like the 6DOF aircraft flight model which is supposed highly coupled states of a nonlinearity nature.…”

Fast-Frequency-Response Control Method for Electrode Boilers Supporting New Energy Accommodation

“…At the same time, in view of the frequency stability of the power system under the high proportion of new energy access, researchers try to transform the power electronic converter to give it a certain frequency support ability. In [8], an improved differential sag plus damping control strategy based on an island microgrid was proposed. The dynamic sag mechanism was established to realize the flexible sharing of transient power among distributed generation, so that the response of the distributed generation to disturbance is flexible and stable.…”