To accelerate the equalizing charge and discharge speed of batteries, the DC-link voltage controller of the bidirectional converters is designed based on extension theory. Firstly, the photovoltaic module arrays (PVMAs)
Optimal placement and control of energy storage systems can stablise low-inertia grids. This paper investigates how optimal battery energy storage systems (BESS) enhance stability in low-inertia grids after sudden generation loss.
In this paper, an intelligent control strategy for a grid connected hybrid energy generation system consisting of Photovoltaic (PV) panels, Fuel Cell (FC) stack and Battery
To accelerate the equalizing charge and discharge speed of batteries, the DC-link voltage controller of the bidirectional converters is designed based on extension theory. Firstly, the photovoltaic module arrays (PVMAs) are used with the intelligent maximum power point tracker (MPPT) for supplying the power to the load side.
The findings demonstrate that the OSTIT2F-FOPI-based VI controller exhibits superior parameter adjustment compared to other controllers, such as the traditional VI [52], PSO-PI [52], GA-PI [42], and EO-FOPI-based controller, resulting in an enhanced frequency response. Moreover, the proposed virtual inertia control mechanism provides stability
From the results, the damping of the system increased, the oscillation frequency decreased after a duration of about 15 s, and the system stability improved by 76.09%. The
By using multiple simulation scenarios that take into consideration both variations in load and irradiance, the study compares the effectiveness of both controllers in terms of synchronizing batteries and supercapacitors.
The results indicate proposed current-control type energy storage converter is robustness for supporting development of renewable energy generation, and the too small or overlarge PI control parameters of energy storage converter is able to effect the dynamic response characteristics.
The findings demonstrate that the OSTIT2F-FOPI-based VI controller exhibits superior parameter adjustment compared to other controllers, such as the traditional VI [52],
The results indicate proposed current-control type energy storage converter is robustness for supporting development of renewable energy generation, and the too small or overlarge PI
Owing to the importance of VSG in the modern power grid, this study provides a comprehensive review on the control and coordination of VSG toward grid stabilisation in terms of frequency, voltage and oscillation damping during inertia response. A review on the type of energy storage system used for VSG and their benefits is also presented.
Optimal placement and control of energy storage systems can stablise low-inertia grids. This paper investigates how optimal battery energy storage systems (BESS) enhance stability in low-inertia grids after sudden
By using multiple simulation scenarios that take into consideration both variations in load and irradiance, the study compares the effectiveness of both controllers in
This study proposed and analyzed a novel control approach, namely ACO-STSMC, whose parameters were tuned using the ACO algorithm to tackle the energy balancing problem via elastic demand control using dynamic pricing for a renewable-integrated smart microgrid. The developed ACO-STSMC addresses the energy balancing problem by reducing
Owing to the importance of VSG in the modern power grid, this study provides a comprehensive review on the control and coordination of VSG toward grid stabilisation in terms of frequency, voltage and oscillation damping
optimization (Se-PSO) algorithm for parameter tuning. This article establishes a precise hybrid load frequency control (LFC) model for a two-area interconnected power grid incorporating pumped storage power plants (PSPP). It determines the optimal LADRC parameters for varying load disturbances in different areas of the power grid. The
From the results, the damping of the system increased, the oscillation frequency decreased after a duration of about 15 s, and the system stability improved by 76.09%. The proposed strategy based on virtual synchronous generator adaptive energy storage coordination control strategy was improved by 83.25%.
optimization (Se-PSO) algorithm for parameter tuning. This article establishes a precise hybrid load frequency control (LFC) model for a two-area interconnected power grid incorporating
This study proposed and analyzed a novel control approach, namely ACO-STSMC, whose parameters were tuned using the ACO algorithm to tackle the energy
In this paper, an intelligent control strategy for a grid connected hybrid energy generation system consisting of Photovoltaic (PV) panels, Fuel Cell (FC) stack and Battery Energy Storage System (BESS) is proposed. Firstly, the dynamic modeling of the electrical energy resources is carried out.
From the results, the damping of the system increased, the oscillation frequency decreased after a duration of about 15 s, and the system stability improved by 76.09%. The proposed strategy based on virtual synchronous generator adaptive energy storage coordination control strategy was improved by 83.25%.
The energy storage adaptive coordinated control strategy ground on VSG technology is applied in the power system. Modern computer technology are crucial for ensuring frequency stability of the power grid and improving system adaptability (Yao et al. 2023).
This technique could also be used to optimise and sort the input parameters based on the controller stability test. From the literature, any involvement of intelligent technique in the controller will help to improve the accuracy and the time response as compared with the traditional controller.
Provided by the Springer Nature SharedIt content-sharing initiative A self-adaptive energy storage coordination control strategy based on virtual synchronous machine technology was studied and designed to address the oscillation problem caused by new energy units.
The model includes new energy generation, energy storage system, and VSG control module to simulate load fluctuations and their impact on frequency response. The initial state of charge of the energy storage system is set to 50%, taking into account the frequency changes and response characteristics under different operating conditions.
In Fig. 8 a, in the adaptive VSG technology, virtual inertia achieved a significant increase from 2.34 to 23.37 after the initial 5 s. This indicated that the energy storage system quickly adjusted its inertial response to match the immediate frequency requirements of the power system.
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