
Josep M. GuerreroCROM Center for Research on Microgrids - Aalborg University · AAU Energy
Josep M. Guerrero
Student of MSc on Psychobiology and Cognitive Neuroscience; and Villum Investigator
About
1,618
Publications
587,149
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Introduction
Josep M. Guerrero since 2011, he has been a Full Professor with the Department of Energy Technology, Aalborg University, Denmark, where he is responsible for the Microgrid Research Program. He is a guest Professor at the Chinese Academy of Science and the Nanjing University of Aeronautics and Astronautics; chair Professor in Shandong University; distinguished guest Professor in Hunan University; and a visiting professor fellow at Aston University, UK.
Additional affiliations
July 2011 - present
January 2007 - July 2007
January 2002 - December 2012
Publications
Publications (1,618)
This paper presents a new control strategy for grid connected photovoltaic (PV) system. The system consists of a solar panel, a boost converter, and a full-bridge inverter with L-filter connected to the grid. The control objectives are threefold: 1) tracking the maximum power point of the PV panel; 2) balancing the power exchange by regulating the...
This paper focuses on detecting cyber-attacks targeting the Automatic Generation Control (AGC) loop and market operation. To achieve this, a new data-driven learning algorithm is proposed that ensembles various learning tools such as K-Means clustering, Synthetic Minority Oversampling Technique oversampling, and Support Vector Data Description mode...
A deeper decarbonization perspective is undergoing with the increasing engagement of new distributed players and the deployment of innovative behind-the-meter flexibility services. Peer-to-Peer (P2P) trading has emerged as an innovative mechanism to foster the direct energy sharing among multi-level market players with pre-determined responsibility...
Multi-agent control is widely recognized as an effective management system for modern microgrids. This paper proposes a hierarchical distributed multi-agent control system for an islanded microgrid with hybrid-energy resources and a battery-storage bank. The dispatchable dispersed generators are to be online-controlled to stabilize the islanded mic...
The development of distributed energy resources in distribution networks has created a new concept called microgrids. Their control is one of the main development issues that must be addressed before any implementation process. In this paper, a comprehensive literature review of the main hierarchical control algorithms such as centralized, decentra...
This article presents the idea of direct adaptive control for several power system applications such as the Egyptian power system (EPS), a three-zone interconnected microgrid (MG), and a single machine connected to the grid (SMIB). The main concept of the proposed adaptive method is built on the tuning of the controller gains using Harris hawks opt...
The interaction between the modular multilevel converter (MMC) and the power electronic systems leads to the interactive stability issues to the high-voltage dc transmission system (HVDC), including the dc-side interactive stability and ac-side interactive stability. Besides, the interactions among distributed submodules in MMC can cause the intern...
The increasing role of offshore wind power plants in the electricity generation mix in Turkey raises some critical grid operation issues. In this context, the grid code regulation concerning penetration of large-scale offshore wind power plants into Turkey’s power system has become a prominent factor in the development of a reliable grid operation....
High-impedance faults (HIFs) exhibit low current amplitude and highly diverse characteristics, which make them difficult to be detected by conventional overcurrent relays. Various machine learning (ML) techniques have been proposed to detect and classify HIFs; however, these approaches are not reliable in presence of diverse HIF and non-HIF conditi...
This paper proposes an efficient risk‐based infrastructure management approach for a multi‐energy microgrid to assess the effectiveness of demand‐side management (DSM) through a stochastic strategy. The studied microgrid consists of photovoltaic and combined cooling, heat and power as the energy generation units and load aggregator with the aim of...
Renewable generation uncertainty, dynamic load change, and system parameter variation play a significant role in the performance degradation of non-linear multi-microgrid (MMG) systems. As a result, intelligent control becomes the need of the hour for assisting superlative attribute-based consistent electric power. The application of marine predato...
The steady increase in the energy demand and the growing carbon footprint has forced electricity‐based utilities to shift from their use of non‐renewable energy sources to renewable energy sources. Furthermore, there has been an increase in the integration of renewable energy sources in the electric grid. Hence, one needs to manage the energy consu...
This paper presents an adaptive control framework for the flexible and effective management and control of clustered DC nano-grids (NGs) in an islanded DC microgrid system. It is assumed that each NG contains a photovoltaic (PV) system, a battery energy storage system (BESS), local loads, and a gateway (GW) module. Each NG has a hierarchical contro...
In recent years, the power electronic load infiltrates into the microgrid in the form of constant power, and its negative impedance characteristics threaten the stability of the system. To alleviate the instability caused by constant power loads (CPLs) and constant impedance loads (CILs) of the boost power converter in the DC microgrid, an adaptive...
The increasing demands of reducing fuel consumption for marine transportation have motivated the use of high fuel efficiency power plants and the development of power management systems (PMS). Current studies on shipboard PMS are mostly categorized as centralized, which are easy to be implemented and able to converge to the global optimum solutions...
This paper proposes a novel virtual inertia controller for converters in power systems, which can solve the system's nonlinearity for frequency support. First, the system dynamics are formulated as a nonlinear state-space, in which the reciprocal of inertia is modeled as control input. Correspondingly, a cost function is defined by considering freq...
In recent years, the usage potential of alternative energy sources has been gaining importance to increase the efficiency of ships within the scope of the obligations brought by international mar-itime regulations. The possibility of using alternative energy sources such as solar energy, wind energy, fuel cells, and waste heat recovery technologies...
In recent years, various forecasters have been developed to decrease the uncertainty related to the intermittent nature of photovoltaic generation. While the vast majority of these forecasters are usually just focused on deterministic or probabilistic prediction points, few studies have been carried out in relation to prediction intervals. In incre...
The voltage harmonics and voltage unbalance, as well as voltage drop due to the electrical faults, can damage the sensitive loads. Various voltage compensators, such as the series active power filter (SAPF) and dynamic voltage restore (DVR) have been developed to overcome these problems. In this paper, a new compensator is introduced, which can sim...
Recently, direct current (DC) microgrids have become prominent due to their less complicated architecture and better integration of renewable energy sources (RES). Energy storage systems (ESSs) and RES, such as photovoltaic (PV) panels and fuel cells (FCs), are internally DC. Hence, it is easier for them to be integrated into DC microgrids compared...
In this research, a novel formulation for smart frequency control and virtual inertia support in a low inertia grid is proposed. The approach takes advantage of EV parking lots and PV distributed resources abilities for this purpose directly or through aggregators. The model also considers governor control of the conventional plants in addition to...
Fractional-order proportional integral derivative (FOPID) controllers are becoming increasingly popular for various industrial applications due to the advantages they can offer. Among these applications, heating and temperature control systems are receiving significant attention, applying FOPID controllers to achieve better performance and robustne...
Fractional-order proportional integral derivative (FOPID) controllers are becoming increasingly popular for various industrial applications due to the advantages they can offer. Among these applications, heating and temperature control systems are receiving significant attention, applying FOPID controllers to achieve better performance and robustne...
Advances in communication technologies and protocols among vehicles, charging stations, and controllers have enabled the application of scheduling techniques to prioritize EV fleet charging. From the perspective of users, residential EV charging must particularly address cost-effective solutions to use energy more efficiently and preserve the lifet...
DC microgrids are becoming integral part of a modern power system due to the growing penetration of DC distributed energy resources and loads, with additional advantages in terms of power quality improvement. They can be used for remote area electrification including villages, mountains, and islands. In this paper, an islanded DC microgrid is consi...
Decarbonisation of energy sector is crucial to deliver the future net zero energy system with promoting and facilitating the large-scale electrification of end-user sectors. It is necessary to provide sustainable, cost-effective, resilient and scalable energy solutions to exploit the power of citizens to contribute to the clean energy transition, i...
This study presents a quantitative methodology for offshore wind power plant site selection in Northwest Turkey using Geographical Information Systems (GIS) and Analytical Hierarchy Process, which is one of the Multi-Criteria Decision Making methods. A comprehensive literature review is conducted to identify more than 17 site selection criteria and...
This research aims to minimize the unnecessary resource consumption by intelligent Power Grid Systems (PGSs). Edge Computing (EC) technology is used to forecast PGS load and optimize the PGS load forecasting model. Following a literature review of EC and Internet of Things (IoT)-native edge devices, an intelligent PGS-oriented Resource Management S...
In this article, for fast transient stability status (TSS) prediction, a new scheme is proposed, which does not require any postfault data and predicts TSS using data measured until the end of the fault-on period. In this method, phasor measurement units (PMUs) are located at synchronous generators' (SGs) buses to gather time-synchronized data. The...
This paper presents a novel approach of employing hierarchical control to optimize the operation of islanded AC microgrids. The proposed method is an offline, centralized, power-flow-based energy management scheme which includes primary and secondary control dynamics in a modified power-flow formulation. The inner power-flow level maintains bus vol...
Frequency support capability of the grid-connected converter (GCC) is one of the basic safeguards for the stability of renewables-dominated power system. In this letter, analogous to the motion equation of synchronous generator (SG), an inertial phase-locked loop (iPLL) is proposed for GCC to achieve fast frequency support. The iPLL introduces the...
A three-phase isolated rectifier features bidirectional power conversion and galvanic isolation, and is attractive as a high-efficiency energy conversion system. However, when a conventional modulation is applied to this rectifier, the excessive DC-link current ripple will result in increasing switching losses or the size of DC-link inductance, whi...
This paper presents a high-performance hardware-in-the-loop (HIL) system aimed to assist experts in developing and testing power electronics control board and their logic with Real-Time models of both electrical and mechanical components. To demonstrate the effectiveness of this system for HIL testing, an industrial DFIG control board has been test...
High penetration level of PV sources in low-voltage distribution network (LVDN) leads to the voltage fluctuation problem, which may limit the maximal PV power generation due to the security issues of distribution networks. This paper proposes a distributed voltage regulation method by sharing the power of distributed heterogeneous battery energy st...
This article proposes a robust and enhanced three-phase fundamental frequency estimation algorithm for the electric aircraft grid. Unlike conventional frequency-locked loops, the digital signal processing technique-based frequency estimator proposed relies on the storage of five consecutive samples of the fundamental grid voltage signal. Furthermor...
Three-phase current source converter tends to be attractive in future industrial applications. In order to ensure the continuous current for the dc-link inductor of the current source converter (CSC), an overlap time is mandatory for each switch, so as to avoid the over-voltage spike caused by the dc-link inductor current interruption. However, the...
The environmental concerns and reduction in fossil fuels have become a major concern due to which a large number of electric and hybrid vehicles are being built to minimize the contribution of greenhouse gas emissions from the transportation sector and to increase the efficiency of the overall vehicles. Electric vehicles (EVs) play an important rol...
This paper presents the modeling for islanded hybrid AC/DC microgrid and the verification of the proposed supervisory controller for energy management for this microgrid. The supervisory controller allows the microgrid system to operate in different power flows through the proposed control algorithm, it has several roles in the management of the en...
Peer-to-peer (P2P) energy trading platform is an upcoming energy generation and effective energy managing strategy that rewards proactive customers (acting as prosumers) in which individuals trade energy for products and services. On the other hand, P2P trading is expected to give multiple benefits to the grid in minimizing the peak load demand, en...
The main objective of this paper is to select the optimal configuration of a ship’s power system, considering the use of fuel cells and batteries, that would achieve the lowest CO2 emissions also taking into consideration the number of battery cycles. The ship analyzed in this work is a Platform Supply Vessel (PSV) used to support oil and gas offsh...
This paper presents a stability analysis for droop-based islanded AC microgrids via an autonomous shooting method based on bifurcation theory. Shooting methods have been used for the periodic steady-state analysis of electrical systems with harmonic or unbalanced components with a fixed fundamental frequency; however, these methods cannot be direct...
The circulating current is one of the important issues for parallel converters. It affects the system stable operation and degrades the power quality. In order to reduce the circulating current of the parallel converter and reduce the harmonic pollution to the power grid, a new circulating current suppression strategy is proposed for the parallel c...
Increasing the usage of distributed generations (DGs) leads the microgrids (MGs) to develop. Considering the existence of alternating current (AC) loads and sources and concerning increasing direct current (DC) loads and sources, hybrid AC/DC MGs have been used to have the advantages of both AC and DC MGs and reduce the drawbacks of them. By integr...
Inherent nonlinearities and uncertainties are inseparable parts of real-life engineering systems, which make theoretical analyzes and control system designs more challenging.
Usually, most of the physical parts in control systems such as controllers and actuators are subjected to saturation. On the other hand, uncertainties are ubiquitous in the ph...
This paper proposes a multifunctional hybrid unified power quality conditioner (UPQC-H), adapted to operate as an interface converter between utility grids and hybrid microgrids (H-MG). In addition to the generation of both ac and dc buses to the H-MGs, the main structure of the UPQC-H can also integrate distributed generation (DG) systems and ener...
One of the challenging issues in DC microgrids attracted by many researchers is the current sharing enhancement among distributed generations (DGs) with different rated currents and/or lines impedances. In this paper, DG topology is considered comprising photovoltaic (PV) system as power resource and battery energy storage system (BESS). By inspect...
Artificial intelligence (AI) approaches are usually coupled with the wavelet transform (WT) for feature extraction to classify the power quality disturbances (PQDs). Therefore, selecting a useful WT-based signal processing approach is required for a reliable classification, especially in real-time applications. In this study, a new hybrid, un-decim...
The stability of microgrids with increased penetration of renewables is a major concern. This is mainly due to their intermittent nature varying from time to time. While designing the stabilisers, the amplitude of the control signals is not given due consideration. This work develops frequency controller systems for a microgrid cluster composed of...
DC microgrids are considered as the next generation of power systems because of the possibility of connecting various renewable energy sources to different types of loads based on distributed networks. However, due to the strong reliance on communication networks, DC microgrids are vulnerable to intentional cyber-attacks. Therefore, in this paper,...
This paper presents a new model for allocating pumped-storage hydropower units in the unit commitment program's next day's market. Because the market prices of the next day are highly volatile and have high uncertainty, the time series Autoregressive integral Moving Average (ARIMA) and Stationary Autoregressive integral Moving Average (SARIMA) have...
Distributed generation is a vital component of the national economic sustainable development strategy and environmental protection, and also the inevitable way to optimize energy structure and promote energy diversification. The power generated by renewable energy is unstable, which easily causes voltage and frequency fluctuations and power quality...
In this study, a two-stage methodology based on the energy savings gained by optimal network reconductoring was developed for the sizing and allocation of electric vehicle (EV) charging load at the residential locations in urban distribution systems. During the first stage, the Flower Pollination Algorithm (FPA) was applied to minimize the annual e...
In order to maximize the use of renewable-based distributed generators (DGs), in addition to dealing with the effects of the inherent power management uncertainties of microgrids (MGs), applying storage devices is essential in the electrical system. The main goal of this paper is to minimize the total operation cost as well as the emissions of MG e...
Frequency regulation of autonomous microgrids with intermittent renewables is a tedious
task, which requires additional support from energy storage systems (ESS). Ideally, the system
requires a faster-acting ESS to arrest the initial frequency deviation and high energy
capacity ESS to restore the frequency to its nominal value. Pico hydel energy st...
Abstract In grid‐connected inverters (GCIs), the phase‐locked loop (PLL) behaves as a negative admittance at the point of common coupling (PCC), composed of both the PLL controller and current controller terms. Therefore, not only the PLL dynamics, but also dynamical interactions between the PLL controller and current controller might trigger insta...
this paper provides a comprehensive discussion of the balloon effect method, which is a new tool for optimization techniques. There exist two broad categories of algorithms called metaheuristics and heuristics that are: evolutionary algorithms and swarm intelligence. The performance of these algorithms relies heavily on the parameters used which ne...