Model Predictive Control Based Improved Techno-Economic Control Strategy for Photovoltaic-Battery Microgrids

Selim, Fatma; Megahed, Tamer F.; Aly, Mokhtar; Shoyama, Masahito; Abdelkader, Sobhy M.

doi:10.1109/icrera55966.2022.9922814

Cited by 7 publications

(2 citation statements)

References 11 publications

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“…The control system ensures that the microgrid voltages are regulated and coordinated with the main grid voltages to maintain a stable and reliable power supply. Thus, , the control system of the DC-AC inverter in the inverter-based microgrid with a DC-DC converter plays a vital role in optimizing power generation, efficiently transferring power to the AC grid, and ensuring stable and high-quality power delivery to both the main grid and the microgrid [24]. Figure 14 presents the voltage's total harmonic distortion (THD) at the point of common coupling (PCC).…”

Section: Resultsmentioning

confidence: 99%

Modelling of a Photovoltaic-Based Grid Supporting Microgrid and Fault Ride-Through Control Application

2023

ijSmartGrid

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This research paper presents a detailed modeling approach for a grid-supporting microgrid system based on photovoltaic (PV) technology. The study encompasses the development of a comprehensive model that accurately represents the dynamic behavior of the microgrid components, including PV arrays, DC-DC converters, DC-AC inverters, and the grid interface. Emphasis is placed on incorporating fault ride-through control techniques to enhance the microgrid's resilience and maintain an uninterrupted power supply during grid disturbances. The modeling process involves capturing the electrical characteristics and interactions among various system components using suitable mathematical equations and control algorithms. Special attention is given to accurately representing the PV arrays' output characteristics and the converter and inverter dynamics. The resulting model provides a reliable platform for studying the system's behavior under different operating conditions, including normal grid operation and fault scenarios. Furthermore, the study addresses the implementation of fault ride-through control mechanisms to ensure the microgrid's stability and ability to ride through grid faults. Various control strategies, such as voltage and current control, droop control, and active/reactive power control, are investigated and integrated into the system model. These control techniques enable the microgrid to autonomously regulate its power output and maintain stable voltage and frequency levels during grid disturbances, thereby enhancing the microgrid's reliability and gridsupporting capabilities. The proposed modeling and fault ride-through control strategies are evaluated through extensive simulations and analysis. The microgrid's performance under different fault scenarios, including voltage sags, voltage swells, and grid disconnections, is thoroughly assessed to validate the effectiveness of the implemented control strategies. Thus, this study provides valuable insights into a PV-based grid-supporting microgrid's modeling and control aspects, demonstrating the feasibility and effectiveness of fault ride-through control techniques. The findings contribute to the advancement of microgrid technologies and support the integration of renewable energy sources into the existing power grid infrastructure.

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Section: Resultsmentioning

confidence: 99%

Modelling of a Photovoltaic-Based Grid Supporting Microgrid and Fault Ride-Through Control Application

2023

ijSmartGrid

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“…Distributed economic model predictive control is an approach that uses multiple nodes to collaborate in economic forecasting and control tasks [23,24]. The basic principle is to decompose the economic system into multiple subsystems, each of which is controlled by a node and accomplishes tasks collaboratively by exchanging information.…”

Section: Introductionmentioning

confidence: 99%

Microgrid Optimal Dispatch Based on Distributed Economic Model Predictive Control Algorithm

Peng¹,

Jiang²,

Wei³

et al. 2023

Energies

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A microgrid cluster is composed of multiple interconnected microgrids and operates in the form of cluster, which can realize energy complementation between microgrids and significantly improve their renewable energy consumption capacity and system operation reliability. A microgrid optimal dispatch based on a distributed economic model predictive control algorithm is proposed in this paper. Firstly, the control task of the microgrid power generation system is defined, which is required to meet the load demand while reducing the economic loss of the system and realize dynamic economic optimization. The global objective function is designed based on the control task, and the detailed design method of the distributed economic model predictive controller is given. The control law is obtained by an iterative calculation using the Nash optimal method, which can effectively reduce the amount of data in the communication network. Finally, a microgrid group composed of four microgrids is used as an example for simulation verification. The simulation results show that the distributed economic model predictive control algorithm proposed in this paper has good economic benefits for microgrid dispatching.

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Model Predictive Control of Dual Three-Phase Four-Leg Multilevel Inverter Supplying Photovoltaic Energy to Low-Voltage Unbalanced Grids

Monteiro,

Pires,

Silva

et al. 2023

2023 12th International Conference on Renewable Energy Research and Applications (ICRERA)

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Model Predictive Control Based Improved Techno-Economic Control Strategy for Photovoltaic-Battery Microgrids

Cited by 7 publications

References 11 publications

Modelling of a Photovoltaic-Based Grid Supporting Microgrid and Fault Ride-Through Control Application

Modelling of a Photovoltaic-Based Grid Supporting Microgrid and Fault Ride-Through Control Application

Microgrid Optimal Dispatch Based on Distributed Economic Model Predictive Control Algorithm

Model Predictive Control of Dual Three-Phase Four-Leg Multilevel Inverter Supplying Photovoltaic Energy to Low-Voltage Unbalanced Grids

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