A5042623934- Microgrid Control and Optimization
- Smart Grid Energy Management
- Smart Grid Security and Resilience
- Advanced DC-DC Converters
- Software-Defined Networks and 5G
- Frequency Control in Power Systems
- Islanding Detection in Power Systems
- Optimal Power Flow Distribution
- Power System Optimization and Stability
Aalborg University
2022-2024
Eindhoven University of Technology
2022
Qazvin Islamic Azad University
2016-2017
This paper proposes a Data-Driven (DD) framework for the real-time monitoring, detection, and mitigation of False Data Injection (FDI) attacks in DC Microgrids (DCMGs). A supervised algorithm is adopted this to continuously estimate output voltage current all Distributed Generators (DGs) with acceptable accuracy. Accordingly, among various evaluated DD algorithms, Adaptive Neuro-Fuzzy Inference Systems (ANFISs) are utilized because their low computational burden, efficiency operation,...
This paper presents an equal power sharing control approach, between Distributed Generations (DGs) in islanded DC Microgrids. An optimal droop approach for DC/DC Boost converter is designed based on Genetic Algorithm (GA). helps us to minimize the cost function order improve voltage regulation while loss low as much possible. The proposed method only requires local output information; hence advantages of traditional are preserved. performance compared with that and its out further verified...
This paper aims to design a robust internal model-based voltage control (RIMVC) scheme for DC Microgrids (DCMGs) in the presence of unknown external disturbances. Maintaining reference tracking under measurement noise, delays, model parameter uncertainties and disturbances while load changes simultaneously is severe challenge DC-DC converters DCMGs. By developing modified converters, this work proposes plug-and-play (PnP) address abovementioned challenge. The proposed method has cascade...
DC microgrids (DCMGs) recently have a wide range of applicability in modern power systems due to their compatibility with advanced distributed control strategies. However, the schemes bring significant challenges system operation high dependency on data transmission through communication networks, making them vulnerable cyber-attacks. Because applications, cyber-attack detection DCMGs has gained considerable attention. In most machine learning (ML)-based algorithms, accurate real-time output...
The applicability of a two-degree freedom (DOF) internal model-based voltage control (IMVC) scheme for DC Microgrids (DCMGs) with unknown external disturbances is explored in this paper. One the most challenging aspects DC/DC converters maintaining reference tracking under and measurement noise while load changes simultaneously. This paper develops framework to address these challenges by plug-and-play model controller voltage-source (VSCs) at primary level. effectiveness proposed evaluated...
This paper presents an intelligent droop control scheme for DC/DC Boost converter which is used as voltage regulator in islanded DC Microgrid. approach a combination of Fuzzy Inference System (FIS) and Genetic Algorithm (GA) to improve regulation equal power sharing between the DGs under abrupt load changing while losses low. The propose performance compared with other typical approach. simulation results are further verified by SIMULINK MATLAB/SimPowerSystems. proposed on this has two...
In this paper, a distributed secondary controller is proposed for DC microgrids (DCMGs) with reduced dependency on information from neighboring units, while achieving voltage consensus, current sharing, and reference tracking tasks. Adopting finite-time the literature, we use physical relations in DCMG network to eliminate of local controllers units. This done by using measurements load unit currents line resistances achieve consensus network. Another revision modify control law responsible...
The measurement and model errors always exist in the sample or data analysis part of Microgrids (MGs) system, bringing oscillation inaccuracy to controller energy management system (EMS). This paper proposed a Kalman filter (KF)-based control strategy for battery storage (BESS) MGs with integrated renewable sources. scheme aims at minimizing active reactive power purchased from main grid by regulating output current BESS. A detailed wind-PV-battery MG is built, sampling considered. tested...