Fuzzy immune method microgrid

A Novel Fuzzy Logic EMS for Hybrid Microgrids with Photovoltaic,

MATLAB/Simulink simulations were conducted to assess the performance of innovative microgrid stability strategy. A comparative analysis with conventional EMS approaches demonstrates the

Adaptive fuzzy logic control for microgrid-connected hybrid

To improve this efficiency, it is possible to combine this technology in the future with other methods such as neural networks, genetic algorithms, and other techniques to increase performance

Fuzzy logic control of hybrid systems including renewable energy in

To solve this problem in this paper we present a Fuzzy Logic Control of isolated Hybrid Systems (HRES) Including Renewable Energy in Micro-Grids to maintain a stability in voltage and...

Resilient math inspired EDA optimized fuzzy adaptive exponent

This proposed study has anticipated a Fuzzy adaptive exponent PID (Fuzzy PI-D Æ) controller to obtain stability in microgrid frequency under different disturbances. Further, the microgrid...

Deep-Fuzzy Logic Control for Optimal Energy Management: A

Therefore, this study introduces a novel Deep-Fuzzy Logic Control (Deep-FLC) framework that combines the predictive power of LSTM models with the adaptability of fuzzy logic systems.

Fuzzy Logic-Based Control Algorithm for Smart Microgrid Energy

Abstract: This research investigates the integration of fuzzy logic-based control calculations with optimization strategies, counting Molecule Swarm Optimization (PSO), Genetic Algorithm (GA), Ant

Cognitive fuzzy logic-integrated energy management for self

An Integrated Energy Management System (EMS) was proposed employing fuzzy logic as a solution to manage the energy needs of loads in this work.

A Novel Real-Time Fuzzy-Based Optimal Control of the

The proposed control methodology for controlling the charging/discharging of the microgrid storage system has been numerically implemented and tested on a simulated MATLAB model of the

A comprehensive review of microgrid control methods: Focus on AI

In this paper, a brief review of recent advances in microgrid control methods is presented, with a focus on predictive, optimization, and AI methods. Control methods were reviewed based on

Resilient Event-Based Fuzzy Fault Detection for DC Microgrids in

This paper addresses the problem of fault detection in DC microgrids in the presence of denial-of-service (DoS) attacks. To deal with the nonlinear term in DC microgrids, a Takagi-Sugeno (T-S) model is

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