Primary frequency control of large-scale PV-connected multi-machine power system using battery energy storage system

Abstract

<span lang="EN-US">Large-scale grid-tied photovoltaic (PV) station are increasing rapidly. However, this large penetration of PV system creates frequency fluctuation in the grid due to the intermittency of solar irradiance. Therefore, in this paper, a robust droop control mechanism of the battery energy storage system (BESS) is developed in order to damp the frequency fluctuation of the multi-machine grid system due to variable active power injected from the PV panel. The proposed droop control strategy incorporates frequency error signal and dead-band for effective minimization of frequency fluctuation. The BESS system is used to consume/inject an effective amount of active power based upon the frequency oscillation of the grid system. The simulation analysis is carried out using PSCAD/EMTDC software to prove the effectiveness of the proposed droop control-based BESS system. The simulation result implies that the proposed scheme can efficiently curtail the frequency oscillation. </span>

Grid connected solar panel with battery energy storage system

“…The authors highlight the industry's current state and future trends for research and development. A powerful droop control method of the BESS is suggested in order to lessen the frequency fluctuation of the multi-machine grid system brought on by variable active power injected from the PV panel [18].…”

Economic power dispatch solutions incorporating stochastic wind power generators by moth flow optimizer

“…For attaining the best economic power dispatch solutions, the barnacles mating optimizer [40] numerical method was studied. The technique of large-scale PV [41], IoT-based intelligent fault detection and normalization of a power distribution system [42], Bangladesh's future energy needs and potential for wind power [43], performance analysis of non-renewable energy in Bangladesh [44], affordable clean energy transition in developing countries [45] make use of control parameters and gains from attributes of the MFO process. The size of the optimization is reduced via optimal reactive power dispatch (ORPD), radial distribution network (RDN), control parameters, shunt capacitor (SC), hybrid active power filter (HAPE) compared to discretization in the time domain, issue.…”

A review of the state of art and prospects in energy storage systems for energy harvesting applications

“…The major challenge faced by the energy harvesting solar photovoltaic (PV) or wind turbine system is its intermittency in nature but has to fulfil the continuous load demand [59], [73], [75], [81]. Therefore, in order to overcome the shortage during unavailability of PV/wind system, a suitable storage system is needed continuously delivering energy to the load [53], [57], [75].…”