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Josep M. Guerrero

Researcher at Aalborg University

Publications -  1449
Citations -  80434

Josep M. Guerrero is an academic researcher from Aalborg University. The author has contributed to research in topics: Microgrid & Voltage droop. The author has an hindex of 110, co-authored 1197 publications receiving 60890 citations. Previous affiliations of Josep M. Guerrero include Indian Institute of Technology Bombay & Pohang University of Science and Technology.

Papers
More filters
Journal ArticleDOI

Five Approaches to Deal With Problem of DC Offset in Phase-Locked Loop Algorithms: Design Considerations and Performance Evaluations

TL;DR: Several approaches using the dq-frame delayed signal cancellation operator and the notch filter as the PLL in-loop filtering stages and using the αβ-frame DSC operator, the complex coefficient filter, and a cross-feedback network for blocking the dc offset before the P LL input are analyzed.
Journal ArticleDOI

Single-Phase Frequency-Locked Loops: A Comprehensive Review

TL;DR: The historical development of a standard single- phase FLL, its modeling and tuning aspects, its relationship with adaptive notch filters, its advanced versions for the synchronization purposes under adverse grid conditions, its modification for different industrial applications, its connection with single-phase PLLs, and its discretization aspects are the main parts of this review.
Journal ArticleDOI

A model predictive control strategy of PV-Battery microgrid under variable power generations and load conditions

TL;DR: An energy management system (EMS) is designed to ensure power balance within the system by considering the intermittent nature of the PV and the load profile, and a sophisticated control algorithm is proposed for the interlinking converter.
Journal ArticleDOI

A Quasi-Type-1 Phase-Locked Loop Structure

TL;DR: The proposed PLL has a similar structure to atype-1 PLL, but from the control point of view is a type-2 control system, and is called the quasi-type-2 PLL.
Journal ArticleDOI

Energy scheduling of community microgrid with battery cost using particle swarm optimisation

TL;DR: Day-ahead scheduling of the battery energy while considering its degradation costs due to charging-discharging cycles is proposed and results demonstrate that the proposed method can reduce the operational costs by around 40% compared to the baseline method.