Abstract
This study aims to ameliorate the contribution capability of doubly-fed induction generator (DFIG) to participate in standalone microgrid operation. The islanded microgrid consists of a solar photovoltaic array for solar energy conversion and battery energy storage in addition to DFIG-based wind energy conversion system. Using a simplified control approach, the study describes multi-mode operation of a DFIG-based AC/DC microgrid using a stator-side solid-state transition switch (SSTS). Using SSTS operation, the DFIG stator can be seamlessly disconnected and reconnected from the point of common coupling without interrupting power to the loads in the microgrid. Additionally, non-ideal AC loads can be handled efficiently without the need for computationally exhaustive approaches to enhance stator voltages and currents.
Keywords
Introduction
Access to electricity has become a top concern in rural regions owing to challenges like geography, long distances from the centralized electric power grid, the high cost of power transmission lines, technical limitations in remote locations, and reliability concerns of the electric power supply (Kumar et al., 2018). Renewable energy sources (RES), especially solar and wind, can be a viable way to generate electricity in rural areas (Barik and Pota, 2012; Strunz et al., 2014). This framework can provide rural areas a dependable power supply and can actually be more profitable than the conventional electrification solutions, particularly in the telecommunications, hazardous chemical factories in remote locations, hilly areas, small islands, etc. The introduction of the microgrid concept offers new solutions to incorporate renewable energy and enhance system dependability (Deng et al., 2008; Katiraei and Iravani, 2006). A microgrid based on hybrid renewable sources can supply electricity to a remote location and can either operate completely independently of the grid or reduce the negative impact of RES on the grid. The installed capacity of the microgrid can depend on the specific application, such as for buildings, a neighborhood, a small town, the forecasted availability of renewable energy in that locale, storage capacity and load demand. AC microgrids are the preferred configuration for integrating various distributed energy sources with local demand. However, microgrid configurations are changing to DC nature with the advent of DC power supplies, DC interface loads, and energy storage devices in new power systems. Hybrid AC-DC microgrids reduce multiple power conversions in a single AC or DC microgrid, combining the main advantages of AC and DC microgrid configurations to provide variable AC and DC power supplies and their respective loads simultaneously (Ahmed et al., 2023). As the local energy demand rises, there is an increasing demand for wind turbines to operate in microgrids. Wind power has witnessed the greatest growth among the RESs, primarily as a result of dropping manufacturing cost. For wind energy conversion systems in microgrids, especially in remote areas, the DFIG has been prominently utilized (Shahabi et al., 2009). The ability to operate at varying wind speeds by employing the maximum power extraction techniques in DFIG enables the microgrid to maximize utilization. With the addition of adequate control strategies, DFIGs are capable of providing the required competencies without incurring high costs on the power electronics hardware.
The DFIG based wind energy conversion system WECS, both in standalone and grid connected modes, is the topic of substantial literature. A DFIG-based wind energy system for supplying local loads in standalone mode, with and without battery, has been presented in Swami Naidu and Singh (2016). An attractive feature of a DFIG-based wind power unit is the ability to integrate energy storage components due to the converter’s intermediate DC link and quick response time (Abbey and Joos, 2007; Cardenas et al., 2004). The BES can be incorporated into the DFIG based microgrid as a portable storage option in the form of a plug-in vehicle as well as a stationary storage option. The BES can also be utilized as a power backup and to smoothen the microgrid output power variations caused by changing wind speed and solar irradiation (Roy et al., 2022). DFIG-based microgrids have exceptional control flexibility but its control is a challenging task considering its inherent nonlinearity, fast dynamics, and unpredictable disturbances acting on the system. Increased efficiency, smooth integration, and improved power quality depend on the effectiveness of DFIG-based microgrid control structures. The significant proportion of the DFIG control methods are designed to operate in grid-connected mode and is mainly related to active and reactive power exchange with the grid. In contrast, the control goal of DFIG in islanded operation is related to the generation of stable voltage and frequency on the stator side. Various operational challenges put forth by DFIG based microgrids have been addressed in literature. The sensorless voltage and frequency control of the standalone DFIG system uses a new technique called a sliding mode observer (SMO) to estimate the rotor velocity and angle (Mondal et al., 2022). It has been noted that the estimation algorithm and voltage controller both perform well despite variations in load at the generator terminals. An improved steady-state and transient performance model-based predictive current control approach for an unbalanced stand-alone DFIG system is presented in Phan and Lee (2011). Other important concerns of DFIG based microgrid related to fault-ride through voltage sags (Morshed and Fekih, 2018), frequency support (Han and Ha, 2019; Zhao et al., 2016), harmonic compensation (Bhattacharyya and Singh, 2022; Wei et al., 2012) etc have also been explored. Research on disruption-free powers under different operating conditions and smooth transition features has been focused recently. With this pretext many control algorithms have been designed for operating DFIG-based microgrid systems in various scenarios. In Tiwari et al. (2018), a control strategy is devised to feed the local load requirement and run the DFIG-SPV system in standalone mode. In Meng et al. (2020), a droop-based approach with cascading control loops is suggested for a smooth transition between various modes. An enhanced resynchronizing mode control is developed in Fatu et al. (2014) for wind energy conversion system that takes into account the impacts of both non-linear AC and DC loads. Since the stator terminals of DFIG are directly interfaced with the grid in DFIG-based microgrid, any uncontrolled mode transfer could cause a significant transient disruption. The DFIG-based system’s functional sensitivity to erratic grid conditions like imbalance and distorted voltages is another problem at remote locations. One such control framework for the DFIG–based system while taking these factors into account has been reported in Das and Singh (2023). When it comes to islanding modes, the operational scheme guarantees uninterrupted load power, while the control technique facilitates smooth transitions without causing over-currents or voltage spikes during mode changeover. A microgrid consisting of a solar photovoltaic (SPV) array, a battery, and a wind turbine-driven synchronous reluctance generator is demonstrated by the authors in Deepu Vijay et al., 2021). Additionally, based on the grid’s availability, smooth transition controls have been offered for seamless interaction. A variety of control algorithms have been designed for synchronizing process of DFIG-based microgrids in grid connected and islanded modes, and literature in this regard can be found in other references as Sekhar and Kumaresan (2022), Tapia et al. (2009), and Thakallapelli et al. (2019). The authors of Chen et al. (2011) have presented a microgrid that smoothly integrates with the grid and is powered by a wind turbine-driven synchronous reluctance generator and battery. The controls for both off-grid and on-grid modes have been covered. In all the available literature, various operating modes have been designed for operating system in on-grid and off-grid conditions and mostly resynchronization with grid is focused. An adaptive fuzzy logic control-based power management strategy for DFIG-based microgrids is presented by the authors in Fekry et al. (2020). However, the DFIG is coupled to the point of common coupling without a static switch in its configuration. The stator terminals are connected to the AC load using a concise breaker in the majority of the literature on islanded microgrids, which integrate multiple power sources and loads with a DFIG system. The issue with such a connection manifests when the generation from wind energy conversion system is stopped abruptly, either for maintenance purposes or when the wind speed is below cut-in regions. In order to prevent power outages caused by sudden gusts of wind, the microgrid must be disconnected from sources of power like SPV systems and energy storage devices while the circuit breaker is opened. The power to the AC loads is disintegrated until the load voltage, which has been preliminarily imposed by the DFIG stator, is restored by the renewable sources and energy storage. This disruption can be disastrous for critical loads, like medical emergencies, data centers, telecom towers etc., fed by the islanded microgrid. The change of operation from the DFIG stator connected mode to the DFIG stator disconnected mode in a DFIG based based hybrid AC/DC microgrid, without any interruption of power to the loads, presents an intriguing challenge for investigation. The stator also needs to be reconnected to the AC loads as the possibility of generation from the DFIG-based wind energy system is reinstated. Researchers have discussed resynchronizing the stator terminals with the AC terminals. However, most of the research has been devoted to resynchronizing the stator terminals with the grid. In addition, in order to ensure that the system is not subjected to transient over-currents or over-voltages, the DFIG stator must be seamlessly connected to the AC loads once wind energy generation is restored.
The following major contributions are made in this study based on the identified research gaps:
A control algorithm that ensures uninterrupted supply to the system of loads is designed for an hybrid DFIG-based AC/DC microgrid, supported by the SPV array and battery energy storage system (BES).
The proposed co-ordinated control scheme operates the microgrid in DFIG stator connected (SCM) and disconnected (SDM) modes owing to the insufficient generation from the wind energy source.
Along with improving power quality in stator currents and PCC voltages and preventing unnecessary distortions in rotor currents, the control system also helps eliminate the impacts of unbalance and non-linearity in AC loads.
Throughout microgrid operation, the control technique is aimed at maintaining renewable energy sources at their maximum power levels. For optimal use of the generator rating, the DFIG stator is operated at unity power factor.
System configuration
The schematic diagram of an hybrid DFIG-based microgrid is illustrated in Figure 1. The proposed hybrid AC-DC microgrid integrates DFIG-based wind energy conversion system, SPV system and battery energy storage (BES). The stator terminals of the DFIG are connected to the point of common coupling through a solid state transfer switch (SSTS) while as the rotor terminals are connected to the rotor side converter (RSC). The SSTS has bidirectional power transfer capacity and enables the smooth stator mode shift of DFIG in various modes. As the RSC regulates the voltage and frequency of the DFIG, it also controls its power. RSC is coupled to the dc link capacitor which is further connected to the common DC bus. The load side converter (LSC) is integrated to the DC bus on one side and on the other side it is connected to the SSTS through an interfacing inductor

DFIG-based hybrid AC/DC microgrid.
The control algorithm at first estimates the generation from the DFIG wind energy system and generates an appropriate control signal

Description of AC/DC microgrid control operation.
Wind Turbine modeling
The power captured by the wind turbine
where
where,
The power flow in DFIG occurs through the stator and the rotor depending upon the mode of operation of the machine, as such the total power output
Expressing the rotor power delivered by the DFIG by slip times the stator power, above equation can be put as,
Considering the generator rotor speed range from 110 to 198 rad/s equivalent to the slip range of
SPV modeling
PV array is modeled by single diode equivalent circuit model that is explained in detail in Villalva et al. (2009). The solar PV array is modeled for a maximum power capacity of approximately 10 kW at the proposed system’s DC bus. The entire ratings for the solar PV array is given in Table 1:
PV module parameters for design of solar PV array.
PV modules are required to be connected in series
Hysteresis current control
The switching pulses for the RSC and LSC are generated by comparing the respective reference and actual currents and passing the resultant through a hysteresis current controller (HCC) as shown in Figure 3. The working principle of hysteresis current control is explained in Khan et al. (2019). The control generates the upper and lower bands for the rotor
If sensed (reference + h/2): Top switch is OFF and bottom switch is on.
else if sensed (reference − h/2): Top switch is ON and bottom switch is off.
else if (reference − h/2) ¡sensed¡ (reference + h/2): Switches current status is retained.

Pulse generation through hysteresis current control.
Disturbed loads
Non-linear loads which are commonly used generate harmonics and reactive power, which are serious problems in power systems. When a device draws harmonic currents, the component of the current must be created at the source, which implies that these harmonic components go through all of the power system components between the source and the load. Harmonics have a variety of detrimental impacts on grids, including higher losses, interference with the functioning of sensitive equipment like as measuring devices, a reduction in total equipment service life due to accelerated aging, and a decrease in system dependability. Furthermore, there has been a significant increase in renewable penetration at the residential level, and the harmonic effects that domestic users have on the grid are not paid much attention. The installation of a single-phase load in a three-phase system causes the system to produce unbalanced current and neutral current, which further causes poor voltage regulation, a high level of neutral current, too much reactive power and load unbalancing. The disturbed loads and the induced harmonics are handled by the control of converters used in renewable integration.
Control scheme for DFIG-based AC/DC microgrid
The co-ordinated control scheme for all the converters required for developing operational strategy of the DFIG-based AC/DC microgrid is described in this section.
RSC control scheme (SCM and SDM)
During the SCM of operation, the RSC control algorithm generates stator voltages at the rated amplitude and frequency for the AC loads at PCC. RSC also ensures maximum power capture from PV array during this mode and reduces errors in stator and load voltage magnitudes, frequency and phase angle. The illustration of the RSC control during SCM and SDM is shown in Figure 4. The DFIG stator-field oriented reference frame is utilized to implement the RSC control. The phase voltages

RSC control in SCM and SDM for hybrid AC/DC microgrid.
Phase locked loops (PLLs) are used to compute the instantaneous stator
The resulting dq references are obtained by regulating the respective errors using PI controllers as shown.
During the SDM operation, if
LSC control scheme (SCM and DCM)
The LSC control provides optimal performance of DFIG by maintaining unity power factor operation during SCM and hence load reactive power requirement is met through the LSC. Moreover, LSC compensates harmonic and unbalanced load current components during SCM, resulting in sinusoidally balanced stator currents and PCC load voltages. In the SDM, LSC maintains sinusoidally balanced voltages at the PCC and continuously powers the loads (AC and DC) regardless of the availability of wind or solar energy.
An indirect control of stator currents is used for the LSC in the SCM. The control signals are generated through DFIG stator field-oriented reference frame. The stator d-axis component
The q-axis component

LSC control in SCM and SDM for hybrid AC/DC microgrid.
The obtained stator current references
The
BC control for PV array
Depending on the intensity of irradiation

BD control for BES of hybrid AC/DC microgrid.
BD control for BES
The bidirectional converter regulates the dc bus voltage at the reference value and consequently compensates for the power deficit to the microgrid through BES support. The control scheme for the operation of BD converter is shown in Figure 7

BK control for LV loads of hybrid AC/DC MG.
Control for voltage regulation of DC loads
The proposed DFIG-based microgrid feeds DC loads operating at MV and LV level. The MV loads are connected directly at the dc bus of the microgrid and LV loads are interfaced through a buck converter. The control scheme implementation for the BK converter is illustrated in Figure 8.

BK control for LV loads of hybrid AC/DC microgrid.
Simulation results and discussion
Based on MATLAB/Simulink simulations, the simulation results illustrate microgrid performance based on DFIG among various scenarios.
PQ consideration with regard to non-linear loads
The compensational capability of the hybrid AC/DC microgrid has been tested by creating sudden unbalance of the non-linear AC load.
Phase “b” of three phase AC load

Performance analysis of microgrid with load disturbance.
Performance analysis of microgrid with varying PV and DC loads
In Figure 10 are shown the operations of DC loads and PV arrays. In the event of a sudden step-down in solar irradiation, the system is affected. MPPT is subsequently utilized to alter the PV voltage

Performance analysis of microgrid with varying PV and DC loads.
Performance analysis of microgrid transitioning from SCM to SDM as shown in Figure 11, the hybrid microgrid seamlessly transitions from DFIG stator connected to DFIG stator disconnected mode of operation. A microgrid control monitors the incident wind speed and generates a signal

Performance analysis of microgrid from SCM to SDM.
Performance analysis of microgrid transitioning from SDM to SCM
Figure 12 depicts the seamless transition of the hybrid microgrid from DFIG stator detached to DFIG stator connected mode of operation. The

Performance analysis of microgrid from SDM to reconnected phase.
Conclusion
The paper discusses the operation of DFIG-based MG supported by the SPV and battery energy storage. The control strategy guarantees that power is delivered continuously to a wide range of loads supported by the microgrid, including AC linear/non-linear loads, medium voltage, and low voltage DC loads. To compensate for insufficient wind energy generation, a co-ordinated control scheme is designed to operate the microgrid in DFIG stator connected (SCM) and disconnected (SDM) modes. For this seamless transition between the DFIG stator modes, a bidirectional solid state transfer switch (SSTS) is utilized for disconnection and reconnection of the stator terminals from AC load terminals of the microgrid. The non-linear load disturbances and the induced harmonic distortions are also compensated by the co-ordinated control through LSC. The maximum power is extracted and generator is operated at unity power factor for optimal utilization through RSC control.
Footnotes
Appendix
Declaration of conflicting interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding
The author(s) received no financial support for the research, authorship, and/or publication of this article.
