Comparative Study on Optimal Frequency Control of Interconnected Hybrid Microgrid based mini VPP using PSO and SSA

Abstract

This work proposed the optimal load frequency control of an interconnected hybrid microgrid based mini virtual power plant (VPP) by comparing the responses using particle swarm optimization (PSO) and salp swarm algorithm (SSA). Initially, a hybrid microgrid is proposed with solar PV, wind and diesel based generators, supplying critical loads along with some controllable loads like heat pump and plug-in hybrid electric vehicles. Then it was interconnected to the main grid, which resembles a mini VPP and the system responses are studied using the MATLAB Simulink platform. Finally, PSO and SSA techniques are applied to tune the PID controller in order to control the system frequency and maintain the power balance in the proposed system. The results interpret the superior performances of SSA over PSO. The study reported system stability within accepted limits of system frequency during both the source and load variations.

Keywords: Hybrid microgrid, particle swarm optimization, plugged-in hybrid electric vehicle, salp swarm algorithm, virtual power plant

Cite this Article: Praveen Kumar, Amar Kumar Barik, Dulal Chandra Das. Comparative Study on Optimal Frequency Control of Interconnected Hybrid Microgrid based mini VPP using PSO and SSA. Journal of Mobile Computing, Communications & Mobile Networks. 2020; 7(1): 7–15p.