Salp Swarm Algorithm tuned control scheme for mitigating frequency deviations in hybrid power system and comparative analysis

Renewables always attract everything than other thrust research areas owing to the global warming issue caused by using the non-renewables therein which should be mitigated at the earliest possible time. The easiest and safest alternative is employing renewable energy resources for the generation of energy that is completely sustainable. Many countries started insisting to seek alternatives trying to terminate to the fullest extent. Even though all these measures are taken, it is very hard to mitigate the utilization of non-renewables, owing to efficacy lag in renewables. The simplest solution for this problem is hybrid usage of renewables to enhance the efficiency. This article took this as a factor, gathered data for hybrid RERs technique with its accuracy range for easy selection of techniques by the stakeholders, trending technology being adopted, and future scope abetted by the patent landscape.

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Performance Estimation of Frequency Regulation for a Micro-Grid Power System Using PSO-PID Controller

Boopathi

Saravanan²,

Jagatheesan

et al. 2021

International Journal of Applied Evolutionary Computation

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This paper proposes the particle swarm optimization (PSO) technique-based proportional integral derivative (PID) controller suggested for frequency regulation of a micro grid (MG) system. MG system integrates with thermal power generating units, renewable energy sources (RES) like photovoltaic (PV), wind energy generators (WTG), and Energy storage systems (ESS) such as fuel cell (FC) and battery energy storage system (BESS). Indentifying the supremacy of proposed technique-based controller and supremacy is examined with three objective functions (integral absolute error [IAE], integral time absolute error [ITAE], and integral squared error [ISE]). The results of the system are compared with conventional PID controller results. From the comparison, it is clearly evident that PSO-PID controller gives better performance over conventional methods in terms of various time domain specific parameters such as settling time, peak overshoot, and undershoot. In both methods, ITAE objective function used controller produce more effective response in MG under sudden load demand situation.

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Salp Swarm Algorithm tuned control scheme for mitigating frequency deviations in hybrid power system and comparative analysis

Cited by 3 publications

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Voltage and frequency regulation in a hybrid power system operated by an ALO optimized non-linear cascaded controller

Voltage and frequency regulation in a hybrid power system operated by an ALO optimized non-linear cascaded controller

Hybrid renewable energy resources accuracy, techniques adopted, and the future scope abetted by the patent landscape – a conspicuous review

Performance Estimation of Frequency Regulation for a Micro-Grid Power System Using PSO-PID Controller

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