This paper presents a new version of the salp swarm inspired algorithm (SSIA) for the optimal design of the microgrid droop controller. The new version of SSIA is originated from the hybridizing of SSIA with the updating features of the particle swarm optimization (PSO). The development of SSIA is achieved by applying referential integrity between leaders and followers' candidates via employing both position and velocity update property of PSO. The hybrid SSIA-PSO also has a self-adaptive mechanism to avoid the necessity of refining the algorithm parameters for each optimization problem. Twenty-three benchmark test systems are tested to validate the superiority of the improved SSIA over the original PSO and SSIA. The proposed SSIA-PSO based control strategy is experimentally tested in a real-time environment. The control platform's performance is experimentally tested by using the Texas Instruments Launchpad TMS320F28379D. The developed real-time hardware-in-the-loop setup is a real investigation for implementing the suggested SSIA-PSO based control strategy with a low-cost control platform. The attained results prove the efficacy of the hybrid SSIA-PSO algorithm over the presented techniques. The introduced hybrid SSIA-PSO is employed to tackle the real microgrid droop control uncertainties such as inaccuracy in controller gains, deterioration of system parameters, multi-sources energy sharing challenge and system dynamics.
Coordination of various distributed generation (DG)
units is required to meet the growing demand for electricity.
Several control strategies have been developed to operate
parallel-connected inverters for microgrid load sharing. Among
these techniques, due to the lack of essential communication links
between parallel-connected inverters to coordinate the DG units
within a microgrid, the droop control method has been generally
accepted in the scientific community. This paper discusses the
microgrid droop controller during islanding using the Henry Gas
Solubility Optimization (HGSO). The most important goals of
droop control in the islanded mode of operation are the frequency
and voltage control of microgrid and proper power sharing
between distributed generations. The droop controller has been
designed using HGSO to optimally choose PI gains and droop
control coefficients in order to obtain a better microgrid output
response during islanding. Simulation results indicate that the
droop controller using HGSO improves the efficiency of
micro-grid power by ensuring that variance in microgrid
frequency and voltage regulation and effective power sharing
occurs whenever micro-grid island mode or when variation in
load occurs.
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