Annapoorani KI, Rajaguru V, Padmanabhan SA, et al (2022) Fuzzy logic-based integral controller for load frequency control in an isolated micro-grid with superconducting magnetic energy
In this paper, an adaptive method is used to control the secondary frequency of an independent AC micro-grid. This controller has two levels, including a PI controller and a
1 天前· ''Distributed noise-resilient secondary voltage and frequency control for islanded microgrids.'' IEEE Transactions on Smart Grid, 2019;10(4):3780–3790. Google Scholar. 11. A.
Pahasa and Ngamroo proposed the coordinated control of wind turbines and plug-in electric vehicles using MPC for microgrid frequency control. Pahasa and Ngamroo applied the
Li X, Song Y-J, Han S-B (2008) Frequency control in micro-grid power system combined with electrolyzer system and fuzzy PI controller. Journal of Power Sources 180: 468–475. Crossref. Google Scholar. Mahdi MM,
PDF | On Apr 17, 2022, Chibuoke Michael and others published Load Frequency Control of a Microgrid using Fractional Order PID Controller | Find, read and cite all the research you need
Additionally, presented a secondary controller that utilizes (DDPG) techniques to ensure voltage and frequency stability in islanded microgrids and future work includes studying the high penetration level of
Microgrid 0.25–2.5 + – DER Frequency / – Droop Controller Steady-State Electrical Load Frequency + – Simplification Frequency DER Frequency / Droop Controller 1 +
This review comprehensively discusses the advanced control techniques for frequency regulation in micro-grids namely model predictive control, adaptive control, sliding mode control, h-infinity control, back-stepping control, (Disturbance estimation technique) kalman state estimator-based strategies, and intelligent control methods.
The existing techniques using conventional controllers in microgrid control are well suited for voltage regulation, but the frequency cannot be adequately controlled using conventional and linear controllers. Most of the advanced control methods use algorithms to manage the grid frequency stability.
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).
Our proposed control strategy is based on the Recurrent Adaptive Neuro-Fuzzy Inference System (RANFIS). This controller can dynamically adjust the active power output, thereby assisting in frequency control within the microgrid.
In 15, a fuzzy controller is used to control the frequency of a multi-microgrid. In 16 two-level MPC control 17, multiple MPC control, and 18 MPC control-based method for coordinated control of wind turbine blades and electric hybrid vehicles to reduce power fluctuations and microgrid frequency are presented.
In this section, the frequency model of a microgrid with various distributed generation sources is first implemented to control the microgrid frequency. The proposed RANFIS controller is designed to reduce fluctuations in the microgrid frequency compared to other controllers.
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