An Improved FCS-MPC Strategy for Low-Frequency Oscillation Stabilization of PV-Based Microgrids

Zhao, Zhuoli; Gong, Shaoqing; Yang, Qinggang; Xie, Jindian; Luo, Xi; Zhang, Jiexiong; Ni, Qiang; Lai, Loi Lei

doi:10.1109/tste.2023.3259204

Cited by 8 publications

(16 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…3, have been taken into consideration. The comparison results of A-phase current simulation among the traditional VOC with PI controller in [7], the table-based DPC in [8], the FCS-MPC in [18], and the proposed switching control are illustrated in Figure 5. From Figure 5, we learn that the performance of the traditional 3, have been taken into consideration.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…From Figure 5, we learn that the performance of the traditional 3, have been taken into consideration. The comparison results of A-phase current simulation among the traditional VOC with PI controller in [7], the table-based DPC in [8], the FCS-MPC in [18], and the proposed switching control are illustrated in Figure 5. From Figure 5, we learn that the performance of the traditional VOC method in [7] is inevitably degraded due to its inaccurate decoupled item in controller under circuit parameters uncertainty.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…However, because the hysteresis comparators are used to generate the switching states in traditional DPC method in [8], the current fluctuation of the converter is big, as seen in Figure 5. The FCS-MPC method in [18] generates the switching states directly by minimizing the cost function, where the cost function is derived by calculating the error between the references and the system state predictive values. Thus, it realizes the satisfied control performance with a simple control structure.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…Thus, it realizes the satisfied control performance with a simple control structure. However, the robustness of the traditional FCS-MPC method in [18] is unsatisfactory due to the inherent inaccuracies associated with uncertain parameters used in the predictive model. The phase lag between the A-phase voltage and the corresponding current waveforms exists using the traditional FCS-MPC method in Figure 5 (the PF is 0.9913 and THD is 7.57%).…”

Section: Simulation Resultsmentioning

confidence: 99%

“…It is notable that the control law with SMO in Theorem 2 is derived based on the voltage Equation ( 16) under a two-phase rotating coordinate frame. However, the computation of control law (18) and SMO (19) does not require complex coordinate transformations at all. In conjunction with the inner loop controller, the complete control system of the proposed method can be designed within a two-phase static (αβ) coordinate frame.…”

Section: Outer Loop Feedback Linearization Controller With Sliding Mo...mentioning

confidence: 99%

See 4 more Smart Citations

A Robust Switching Control Strategy for Three-Phase Voltage Source Converters with Uncertain Circuit Parameters

Guo,

Qiao,

et al. 2024

Energies

View full text Add to dashboard Cite

This study proposes a novel double closed-loop robust control strategy based on a power switching affine model of three-phase voltage source converters (VSCs). The aim is to overcome the challenges posed by inaccurate mathematical models, complex controller configurations, indirect switching control, and performance degradation under circuit parameters uncertainty or load variation in conventional methods. These conventional methods rely on linearization models, duty ratio regulation, and pulse width modulation (PWM) technologies. The contributions of work are the following: (1) A two-dimensional (2D) power switching affine model is constructed without any approximation or averaging. (2) The proposed approach achieves direct switching control of three-phase VSCs, eliminating the need for complex rotation coordinate transformation, PWM, and phase locking loop (PLL), which are utilized in traditional control methods. (3) The rigor of the system stability analysis is enhanced based on the 2D power switching model compared to the existing three-dimensional (3D) current switching model. (4) A simple control structure with only two control parameters is employed to address circuit parameter uncertainties. The effectiveness and superiority of the proposed method is validated through simulation and experimental comparison results.

show abstract

Section: Simulation Resultsmentioning

confidence: 99%

Section: Simulation Resultsmentioning

confidence: 99%

Section: Simulation Resultsmentioning

confidence: 99%

Section: Simulation Resultsmentioning

confidence: 99%

Section: Outer Loop Feedback Linearization Controller With Sliding Mo...mentioning

confidence: 99%

See 3 more Smart Citations

A Robust Switching Control Strategy for Three-Phase Voltage Source Converters with Uncertain Circuit Parameters

Guo,

Qiao,

et al. 2024

Energies

View full text Add to dashboard Cite

show abstract

Improving the stability and damping of low-frequency oscillations in grid-connected microgrids with synchronous generators

Hindocha,

Sheth

2024

Electr Eng

View full text Add to dashboard Cite

Enhanced frequency control of a hybrid microgrid using RANFIS for partially shaded photovoltaic systems under uncertainties

Alipour,

Dejamkhooy,

Hosseinpour

et al. 2024

Sci Rep

View full text Add to dashboard Cite

Nowadays environmental concerns and fossil fuel limitations, as well as economic benefits and technical issues such as reliability lead conventional distribution networks to smart microgrids, where the renewable energy resources are merged with the grids. Nevertheless, the systems face new challenges due to the intermittent nature and uncertainties in the distributed generations, which cause frequency fluctuations in the microgrid. The photovoltaic cells are the main part of the contemporary microgrids. Although the photovoltaic (PV) systems depend on solar irradiance, and temperature and are affected by the partial shading phenomenon they could contribute to improving the microgrid frequency stability with a proper control scheme. In this paper, the frequency control strategy is designed for a hybrid stand-alone microgrid, which is robust against load disturbances, variations in weather conditions, and uncertainties in the microgrid parameters. The proposed intelligent control scheme relies on the Recurrent Adaptive Neuro Fuzzy Inference System (RANFIS). The Whale Optimization Algorithm (WOA) is employed to optimize the RANFIS controller structure and generate the parameters of membership functions. In this multi-objective optimization, the objectives are settling time (ST), overshoot (Osh), and Integral Square Error (ISE). The simulation results verify the high robustness and performance of the proposed RANFIS controller, compared to other controllers, during various operational circumstances, as well as the sporadic behavior of renewable energy resources (RES) such as fluctuations in solar radiation and certain uncertainties in the microgrid parameters.

show abstract

An Improved FCS-MPC Strategy for Low-Frequency Oscillation Stabilization of PV-Based Microgrids

Cited by 8 publications

References 34 publications

A Robust Switching Control Strategy for Three-Phase Voltage Source Converters with Uncertain Circuit Parameters

A Robust Switching Control Strategy for Three-Phase Voltage Source Converters with Uncertain Circuit Parameters

Improving the stability and damping of low-frequency oscillations in grid-connected microgrids with synchronous generators

Enhanced frequency control of a hybrid microgrid using RANFIS for partially shaded photovoltaic systems under uncertainties

Contact Info

Product

Resources

About