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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.

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A New Two-Stage Algorithm for Solving Optimization Problems.

TL;DR: In this paper, a two-stage optimization (TSO) algorithm is proposed to update population members in two steps at each iteration, where a group of good population members is selected and then two members of this group are randomly used to update the position of each of them.
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A Stochastic Model Predictive Control Approach for Joint Operational Scheduling and Hourly Reconfiguration of Distribution Systems

TL;DR: A stochastic Model Predictive Control framework for operational scheduling of distribution systems with dynamic and adaptive hourly reconfiguration and a novel Switching Index (SI) based on the RCS ages and critical points in the network along with the maximum number of switching actions is introduced.
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Optimal Power Flow in Islanded Microgrids Using a Simple Distributed Algorithm

TL;DR: In this article, the problem of distributed power losses minimization in islanded distribution systems is dealt with in a very simple manner and a solution is reached after a few iterations, where the correction of generated active powers is possible by means of the active power losses partition concept that attributes a portion of the overall power losses in each branch to each generator.
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Optimal Scheduling of Distributed Energy Resources and Responsive Loads in Islanded Microgrids Considering Voltage and Frequency Security Constraints

TL;DR: A two-stage stochastic model for coordination of DERs and responsive loads in islanded MGs with regard to voltage and frequency security constraints is proposed and its effectiveness is demonstrated through different scenarios under uncertainties in load consumption and renewable energy resource (RES) productions.
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Operation Cost Minimization of Droop-Controlled AC Microgrids Using Multiagent-Based Distributed Control

TL;DR: In this paper, a multi-agent-based distributed method is proposed to minimize the operation cost in AC microgrids, where each DG is acting as an agent which regulates the power individually using a novel power regulation method based on frequency scheduling.