STA and SOSM control‐based approach of a renewable power generator for adjusting grid frequency and voltage

Abstract

Summary This article is interested in a controlled three‐phased voltage source inverter (VSI) for a grid‐connected wind power generator. The objective consists of participating in auxiliary services by enhancing the grid stability. An active wind generator associated with a battery/super‐capacitor storage system composes the studied renewable generator. It is related to a power consumer (load) to form a microgrid (MG) that can work according to grid stability in two modes: standalone and grid‐tied. Thus, the principal objective of this study is to develop a robust control method for MG connection with the grid to ensure the grid voltage and frequency regulation. This control has two control tasks: First, an adaptive droop control is implemented to adjust power flows exchanged with the grid to ensure its stability. It regulates its voltage and frequency. Second, a sliding mode control (SMC) with super‐twisting algorithm is put forward for the VSI to improve the regulation of the grid voltage and frequency under uncertainties. It improves control results concerning the reduction of harmonics caused by sudden variations of the load and of powers exchanged with the grid. It allows preventing the phenomenon of chattering created by classical sliding mode technique. Extensive simulation studies are carried out under MATLAB/Simulink. They prove the effectiveness of the suggested droop and SMCs compared with the classical proportional‐integral controller.

Internal Model-Based Cascaded Control Approach for Multi-Functional Grid Interactive Converters

“…In literature various control schemes are reported for GICs to interface the renewable energy based DGs to the utility grid [7][8][9][10][11][12][13][14][15][16][17][18][19][20][21]. To ensure good power quality at PCC either additional compensating devices or GICs with multifunctional capabilities shall be utilized [8][9][10][11].…”

“…Various control techniques based on PI controller, proportional resonance (PR) controller, sliding mode controller (SMC), model predictive controller (MPC) and intelligent controllers are discussed for regulating power flows and to improve power quality in a grid connected MG (GC-MG) [10][11][12][13][14][15][16][17][18][19][20][21]. In [10], authors have utilized PI controller for integrating renewable energy resources to MG with low THD under ideal conditions.…”

“…Similarly, a quasi-PR controller is utilized for improving the tracking capability of the overall system [16]. A variety of new emerging control approaches for current control of gridconnected converters have been recently proposed in literature [17][18][19][20][21][22][23][24]. In [17], a robust control strategy using H∞ controller is designed and implemented to improve the current quality under the presence of distortions in grid voltages.…”

“…In [17], a robust control strategy using H∞ controller is designed and implemented to improve the current quality under the presence of distortions in grid voltages. In [18][19][20], SMC and its variants are implemented to improve the system performance under unbalanced operating conditions. In [21,22], multiloop framework using SMC for grid-connected inverters is reported.…”

Gray wolf optimization‐based optimal grid connected solar photovoltaic system with enhanced power quality features

“…Finally, the authors reported an increase in power factor at the grid side with these techniques, while the THD remained within the IEEE standards. The authors 13 developed a robust control technique for connecting the grid's microgrid (MG) set. The authors analyzed the microgrid control method to operate in the island mode to ensure continuous supply to the distribution station during the grid's failure.…”