Francisco Jurado

Universidad de Jaén | UJAEN · Department of Electric Engineering

With the increasing penetration of electric vehicles into the existing power networks, the development of proper energy management tools become essential to mitigate the damaging effects of emerging high-power charging modes. To facilitate the management of vehicles, they can be gathered into clusters in order to aggregate their charging profiles....

Microgrids are essential for integrating renewable energy sources into the power grid. However, fault detection is challenging due to bidirectional energy flow. Traditional relay-based systems struggle in microgrids, primarily because of limited fault currents from grid-connected renewable energy inverters. To address these challenges, this paper p...

The reliability and effectiveness of today's electrical grids rely heavily on optimal reactive power dispatch (ORPD). The ORPD problem gets more challenging to resolve in the setting of ever-increasingly dynamic and complex systems. To handle the ORPD while also considering the existence of electric vehicles, this research introduces a novel techni...

Energy communities are recognised as a valuable framework to promote penetration of renewable sources at the residential level, as well as increment the efficiency and self-sufficiency of domestic users. In such paradigms, energy storage may bring notable benefits due to its energy arbitrage and capacity to efficiently manage renewable sources. How...

Urban borders are expanding in cities, solar photovoltaic and wind energy are being used and decentralized more and more, while the electrification of transport systems is in permanent progress. Users trust more in the modernization of electrical systems giving rise to various applications. The efforts made by both the public and private sectors ar...

Decarbonization of the energy sector calls for new energy sources and power-system operation paradigms. In this context, consumers can partake in system operation as loads and generators by leveraging own resources, such as rooftop photovoltaics (PVs). These prosumers can be gathered into energy communities (ECs) and operated in a centralized manne...

Hydrogen fuel stations (HFSs) may be connected to power systems; to absorb electricity, produce hydrogen and supply hydrogen demands. To the best of the authors' knowledge, the resilience of HFS-integrated power systems has not been addressed in the literature. In this research, a novel strategy is proposed for resilience enhancement of PV-rich HFS...

This paper presents an extended model for aggregation of operational settings of droop-controlled Distributed Energy Resources (DERs) in Microgrid (MG) planning, thus deriving in a novel problem named Optimal Siting, Sizing and Setting (OSSS) of DERs. The proposed approach precisely deals with the power flow formulation for autonomous MG as an esse...

A multi-stage mechanism for flexibility-oriented energy management (FOEM) of the distribution system is developed in this article, which main novelty is providing the flexibility requirements of the main grid by resources within renewable-based microgrids (RBMGs), including distributed generations (DGs), storage systems (SDs), internet-of-things en...

The principal contribution of this article focusing on obtaining a precise model of the lithium-ion battery (LiB). This in fact affects the simulation analyses and dynamics of such batteries in several applications including electric vehicles, microgrids, distribution systems, and smart grids. The main challenge here is the heavy nonlinearity of th...

In the current study, a fixed‐bed downdraft gasifier was used, in addition to gas cleaning and treatment units, to evaluate hydrogen production from the waste from a date molasses factory. Date pits and pomace were gasified at a temperature of 800°C with oxygen‐rich air and standard air as the gasifying agents. Simulations were performed using the...

Electricity generation from biomass energy resources is compared with wind and solar power considering an uncertain electric load and a variable generation in the present study. The comparison results can give a good perspective to readers for judgment about energy utilization method in places which all of these renewable energy sources are availab...

On-board batteries from electric vehicles can be used in domestic installations as an auxiliary source of energy through their vehicle-to-home features. To properly manage this kind of assets, Home Energy Management systems are expected to be essential tools in future smart grids, enabling a more efficient use of energy in residential applications....

This paper introduces a Modified Reptile Search Algorithm (MRSA) designed to optimize the operation of distribution networks (DNs) considering the growing integration of renewable energy sources (RESs). The integration of RESs‐based Distributed Generation (DG) systems, such as wind turbines (WTs) and photovoltaics (PVs), presents a complex challeng...

This study presents a 100% renewable and diversified system taking advantage of the available energy potential of renewable energies in Mexico with a view to a planned energy transition in cooperation with the environment. The processes of change that are experienced worldwide in favor of the planet make us reflect and propose alternatives that bre...

Nowadays, there is a global consensus that integrating renewable energy sources (RESs) is highly needed to meet the increasing electricity demand and reduce the overall carbon footprint of energy production. However, large-scale integration of RES-based distributed generation (DG) units often poses several technical challenges in the system from st...

This paper presents an application of the recent metaheuristic Geometric Mean Optimizer (GMO) for the allocation of renewable energy sources (RES), including wind turbine (WT) and biomass-based Distributed Generation (DG) units in the distribution network (DN). The primary objective function is to minimize the total power and energy losses. The Wei...

In modern power systems, distributed generation (DG) plays an important role in energy losses reduction, but DG penetration in such networks is restricted by technical and investment limitations. Therefore, distribution network reconfiguration (DNR) and DG operation reduce power losses more efficiently than when only DG is utilized. Also, network r...

The decarbonization and sustainability of smart cities is calling for new schemes and businesses capable of increasing the efficiency of energy systems. In this context, energy communities are emerged as a valuable framework to optimally integrate prosumers into electricity networks and take the maximum advantage of domestic resources such as contr...

Penetration of distributed generation (DG) in the electrical distribution system (EDS) of Manabí province, in Ecuador, is analysed in the present work. Zoning EDS was first done to facilitate the study and understanding of the system with the aim of knowing the existing problems to establish the necessary criteria for analysing the load flow using...

This paper focuses on a renewable energy system connected to a dual-function power grid through a parallel active power filter for simultaneously injecting photovoltaic energy to the grid and improving the power quality in the presence of the non-linear load. The rejection of disturbances affecting the grid is offered by the improved direct power c...

One of the most important aspects of power quality for a distribution network's operation is the voltage sag issue. Simultaneous starting of irrigation motors fed from a distribution network leads to a voltage drop, which degrades the network's power quality. Mitigation of the voltage sag was carried out before by using superconducting magnetic ene...

The decarbonization of the electricity sector calls for new operational schemes and businesses. In this context, traditional consumers have evolved towards prosumers, enabling the active participation of domestic installations in the system operation. A set of prosumers can be organized into energy communities to unlock different economic and energ...

This study addresses the challenging task of solving optimal reactive power dispatch (ORPD) while incorporating renewable energy resources (RERs), considering their stochastic and time-varying nature. Specifically, the focus is on solving the stochastic optimal reactive power dispatch (SORPD) problem, taking into account uncertainties in load deman...

Distributed power grid systems require more intelligent and adaptable control management and optimization to preserve the best performance. These balance the generated power source and load demand even during severe interruptions. This research proposes a comparative analysis of an autonomous microgrid system's optimized fuzzy logic control and pro...

Hydrogen is called to be one of the main energy vectors in future energy systems, especially for energy storage, where this carrier presents some interesting features. Its application in microgrids might help to improve economic, environmental and reliability indicators, providing greater storage capacity than other technologies, like batteries. Fo...

Nowadays, the intermittent nature of renewable energy systems represents one of the most significant challenges in isolated systems, where power fluctuations can cause instability and compromise energy quality. Although hydrogen systems and supercapacitors have been widely studied in the literature, they have been less investigated as participating...

This chapter presents a representative day selection study using the k-medoids method for time series. First, the most used methods in the literature are reviewed in an introductory way. Then, an explanation of the k-medoids method is proposed to present the background as a case study. Finally, the results of the method based on optimization indice...

Electric mobility (E-Mobility) has expedited transportation decarbonization worldwide. Lithium-ion batteries (LIBs) could help transition gasoline-powered cars to electric vehicles (EVs). However, several factors affect Li-ion battery technology in EVs' short-term and long-term reliability. Li-ion batteries' sensitivity and non-linearity may make t...

Electric vehicles (EVs) and renewable energy resources (RERs) are widely integrated into electrical systems to reduce dependency on fossil fuels and emissions. The energy management of microgrids (MGs) is a challenging task due to uncertainty about EVs and RERs. In this regard, an improved version of the RUNge Kutta optimizer (RUN) was developed to...

Optimal reactive power dispatch (ORPD) in electrical networks is essential for the secure and stable operation of the entire power system; it also significantly impacts the economic situation. However, the solution of ORPD is highly complex while considering the multiple variables, time-varying characteristics, dynamic loads such as electric vehicl...

As the world’s population continues to grow and the demand for energy increases, there is an urgent need for sustainable and efficient energy systems. Renewable energy sources, such as wind and solar power, have the potential to play a significant role in meeting this demand, but their intermittency can make integration into existing energy systems...

With the emergence of the Smart Grid concept, utility companies require more active participation of home users in the power sector. This changing paradigm is enabled by the wide deployment of multiple home assets such as small renewable‐based generators or storage facilities. In this context, consumers are no longer conceived as pure loads but als...

This article aimed to introduce a novel application of a hybrid particle swarm optimizer and gravitational search algorithm (HPSOGSA) that can be used for optimal control of offshore wind farms’ voltage source converter connected to HVDC transmission lines. Specifically, the algorithm was used to design fractional-order proportional-integral-deriva...

This paper establishes an accurate and reliable study for estimating the lithium-ion battery’s State of Charge (SoC). An accurate state space model is used to determine the parameters of the battery’s nonlinear model. African Vultures Optimizers (AVOA) are used to solve the issue of identifying the battery parameters to accurately estimate SoC. A h...

Modeling the photovoltaic (PV) generating unit is one of the most important and crucial tasks when assessing the accurate performance of the PV system in power systems. The modeling of the PV system refers to the assigning of the optimal parameters of the PV’s equivalent circuit. Identifying these parameters is considered to be a complex optimizati...

Renewable energy sources have been widely developed in grid-connected systems. However, a challenge to overcome is the random characteristic of renewable resources such as solar irradiance, photovoltaic power fluctuations caused by cloud movement could cause instability of the utility grid. To solve this drawback, several authors have proposed vari...

The constant changes in the load power lead permanently to a power mismatch between the power generation and the power consumption. So, the system frequency due to the power imbalance deviates from the nominal value. Consequently, a control loop should be implemented to stabilize the system frequency whenever a load change occurs. This paper presen...

Nowadays, energy decarbonization due to integrating renewable energy sources presents important challenges to overcome. The intermittent nature of photovoltaic systems reduces power quality by producing voltage variations and frequency deviations in electrical system networks, especially in weak and isolated distribution systems in developing count...

In this paper, different methods are utilized to solve the coordination issue involving directional overcurrent relays (DOCRs) and distance relays. The proper coordination of DOCRs and distance relays is a critical issue for system security in electrical networks. Finding the DOCRs setting, pickup current(Ip) and timed dial setting (TDS), and opera...

Emerging renewable-based transmission and distribution systems, despite many environmental and economic benefits, due to the intermittent nature of their production resources, compared to traditional systems, need more flexibility capacities, which necessitates the need for more suppliers of flexibility. To deal with these challenges, a nested fram...

The aim of the optimization economic load dispatch (ELD) problem is to assign the optimal generated power of the thermal units for cost reduction with satisfying the loading of the operational constraints. The ELD is a high-dimensional and non-convex problem that became a more complex problem in the case of optimizing the output generated power of...

This paper presents a hybrid method for optimally locating the EV parking lot (PL) and improving power quality. This advanced hybrid method is the combined operation of Atomic orbital search (AOS) and Arithmetic optimization algorithm (AOA) and is known as the Atomic orbital search Arithmetic optimization algorithm AOSAOA method. This research show...

This work put forward the design of a sooty tern optimization algorithm (STOA) tuned cascaded proportionalintegral and tilt-integral-derivative-filter (CPI-TIDF) for combined load frequency control and automatic voltage regulation (CLFC-AVR) of the interconnected power system (IPS). The CLFC-AVR analysis is initiated on laying 10% step load disturb...

In this work, the stability of dual area multisource (DAMS) interconnected power system (IPS) is assessed subjected to the perturbation in step load (SLP) of 10% in area-1. For this purpose, a two-degree-of-freedom (DOF) PID (2DOFPID) controller optimized with the newest algorithm of the sooty tern optimization technique (STOT) is enacted as the se...

This paper presents a new hybrid method for optimally locating and sizing the Electric vehicle charging stations and managing the electric vehicle charging system. The developed hybrid method is a joint action of Mexican Axolotl Optimization (MAO) and Wild Horse Optimizer (WHO) and called as MAOWHO method. The main use of this new method is for pla...

To reduce exhaust emissions that contribute to climate change, many countries aim to replace internal combustion engines with electric vehicles (EVs). As this change takes place, it is important to understand the potential impacts of EVs on the distribution grid. There must be a plan for grid flexibility quickly given the additional grid costs and...

The Dushanbe urban electrical network was specified as the focus of destruction to cable, overhead, and transformer power stations with voltages varying from 6-10 / 0.4 kV in the study. Statistics of emergency shutdowns by month for overhead cables and transformer sub-stations with a voltage of 6-10/0.4 kV for the years 2018-2019 were created using...

The use of artificial intelligence (AI) and machine learning (ML) in electric vehicles (EVs) is gaining popularity as a means of improving information security. However, there is a lack of research on the specific ways in which AI and ML are being used in this context. This review aims to provide an overview of the current state of AI and ML-based...

The purpose of this article is to study a nine-switch converter dedicated to feed two induction motors (IM) used in electric vehicle (EV). The work relies on finding a configuration of a power converter with fewer power components for cost and volume reduction. For this we begin by modeling this converter in order to study it then we developed a co...

Multiple power sources and traction machines are incorporated within hybrid electric vehicles (HEV) to enhance their safety and propulsion power. However, such vehicles suffer from undesired passenger felt jerks during drivetrain commutations and from large power peaks during power source switchings that reduces vehicle performance and power source...

In the electric vehicle power systems, the energy management strategy (EMS) is very important to improve the vehicle's energy consumption. The purpose of this paper is to propose an EMS to effectively regulate the energy flow from the energy sources, minimize the fuel consumption, and ensure the propulsion power of the vehicle under complex driving...

The integration of several renewable energy sources (RESs), such as photovoltaic generation (PVG) and wind turbine generation (WTG), introduces a significant amount of uncertainty for the optimal planning of the electrical power systems. The optimal power flow (OPF) problem became more difficult to solve when RESs uncertainties were taken into acco...

With the advance of communication infrastructures and the necessity of increasing the efficiency of energy systems, electricity networks are evolved towards more decentralized architectures and operational schemes. In this context, microgrid clusters are emerging as a valuable framework for optimal integrating renewable sources, demand response ini...

The massive integration of renewable generators, energy storage systems, and demand response requires the development of smart power infrastructures. In this upcoming context, microgrids will be essential for the optimal integration of such assets. When different microgrids are located near each other, they can be centrally coordinated within a nov...

Flexible Alternating Current Transmission System (FACTS) are power electronic-based devices connected to the electrical systems in series or shunt or combined series-shunt. FACTS can control the system parameters such as voltage magnitude and phase angles of the buses, the power flow through the transmission line, and the transmission lines’ impeda...

With the advent of smart grids, novel businesses like energy communities are becoming more frequent, thus enabling alternative energy transactions for smart prosumers like peer-to-peer mechanisms, that may increment the efficiency of residential installations while reducing the electricity bill. However, the optimal participation in such frameworks...

The focus of this study is on solving the coordination problem between distance relays (DISRs) and directional overcurrent relays (DOCRs), which is a complex nonlinear problem with various constraints. Ensuring proper coordination between DOCRs and distance relays is critical for maintaining the security of electrical networks. The primary objectiv...

Nowadays, energy decarbonization due to the integration of renewable energy sources presents important challenges to overcome. The intermittent nature of photovoltaic systems reduces power quality by producing voltage variations and frequency deviations in electrical systems networks, especially, in weak and isolated distribution systems in develop...

The concept of interconnected Multi-Micro Grids (MMGs) is proposed as a promising solution for the improvement of the operation, control, and economic performance of the distribution networks. The energy management of the MMGs is a strenuous and challenging task, especially with the integration of renewable energy resources (RERs) and variation of...

Recently, renewable energy resources such as wind turbines (WTs) and photovoltaic (PV) systems are wildly installed in electrical systems. However, the main challenge that related to these resources is the optimal planning and operation of the power system due to their stochastic natural and intermittency. However, OPF solution in case of consideri...

With the rapid growth of technology and population, there has been a corresponding increase in electricity demand and system load. To meet this demand, the installation of renewable energy sources (RESs), such as wind turbines (WTs) and photovoltaics (PVs), in distribution systems is widely accepted as the best solution. This paper proposes an effi...

In this study, an improved bald eagle search optimization algorithm (IBES) is utilized to develop home energy management systems for smart homes. This research is crucial for energy field researchers who are interested in optimizing energy consumption. The primary objective is to optimally manage load demand, reduce the average peak ratio, lower el...

This paper establishes a study for an accurate parameter modeling