Hybrid energy storage system control analogous to power quality enhancement operation of interlinking converters

Abstract

Increasing nonlinear loads and power electronic converters lead to various power quality issues in microgrids (MGs). The interlinking converters (ILCs) can participate in these systems to harmonic control and power quality enhancement. However, ILC participation deteriorates the dc link voltage, system stability, and storage lifetime due to oscillatory current phenomena. To address these problems, a new control strategy for a hybrid energy storage system (HESS) is proposed to eliminate the adverse effects of the harmonic control operation of ILC. Specifically, battery and super-capacitor (SC) are used as HESSs that provide low and high power frequency load, respectively. The proposed strategy tries to compensate the current oscillation imposed by ILC with fuzzy control of HESS. In this method, a proportional-resonant (PR) controller integrated with harmonic compensator (HC) is employed to control the ILC for power quality enhancement and oscillatory current elimination. The main advantages of the proposed strategy are to reduce DGs power fluctuations, precise DC bus voltage regulation for generation and load disturbances, improved grid power quality under nonlinear load and transition conditions. The performance of the proposed method for isolated and grid-connected modes is verified using simulation studies in the MATLAB software environment.

A regulatory power split strategy for energy management with battery and ultracapacitor

“…Controllers also rely on the internet of things [29], [30] for the data flow in PV based systems or AI as in [31] for multi agent systems utilising not only solar and wind but also SC, battery and generator, and utilising piezo electric energy harvesting [32]. HESS control strategies can also address the power quality issues [33] in the system. Predictive controllers take into account the above factors and have better computation time and dynamic response [34], [35].…”

Energy management schemes for distributed energy resources connected to power grid

“…Equivalent fuel consumption minimization strategy (ECMS) is widely used for real-time employment, power sharing problem is solved such a way to minimize an instantaneous cost function considering fuel consumption of DERs. Some of real-time EMS are based on model predictive control [21], stochastic dynamic programming [22], neural networks [23], adaptive optimal-control method [24], H-infinity control [25] Fuzzy-logic based hybrid power system and hybrid energy storage system control to improve power quality [26], [27]. Fuzzylogic control for microgrids [28], power management of standalone DC microgrids [29], ANN based control for battery energy storage [30].…”