17 documents found, page 1 of 2
Multi-objective optimal sizing of an AC/DC grid connected microgrid system
Amoura, Yahia; Pedroso, André; Ferreira, Ângela P.; Lima, José; Torres, Santiago; Pereira, Ana I.Considering the rising energy needs and the depletion of conventional energy sources, microgrid systems combining wind energy and solar photovoltaic power with diesel generators are promising and considered economically viable for usage. To evaluate system cost and dependability, optimizing the size of microgrid system elements, including energy storage systems connected with the principal network, is crucial. ...
Combined optimization and regression machine learning for solar Irradiation and...
Amoura, Yahia; Torres, Santiago; Lima, José; Pereira, Ana I.Prediction of solar irradiation and wind speed are essential for enhancing the renewable energy integration into the existing power system grids. However, the deficiencies caused to the network operations provided by their intermittent effects need to be investigated. Regarding reserves management, regulation, scheduling, and dispatching, the intermittency in power output become a challenge for the system opera...
Hybrid optimisation and machine learning models for wind and solar data prediction
Amoura, Yahia; Torres, Santiago; Lima, José; Pereira, Ana I.The exponential growth in energy demand is leading to massive energy consumption from fossil resources causing a negative effects for the environment. It is essential to promote sustainable solutions based on renewable energies infrastructures such as microgrids integrated to the existing network or as stand alone solution. Moreover, the major focus of today is being able to integrate a higher percentages of re...
A statistical estimation of wind data generation in the municipality of Braganç...
Amoura, Yahia; Lima, José; Torres, Santiago; Pereira, Ana I.The existing wind energy potential in Portugal makes way for developing electrical energy in the northern region. In this work, wind speed data were statistically investigated using Weibull distribution to identify the characteristics of converting wind energy in Serra da Nogueira mountain in the Municipality of Braganca. An hourly wind speed time series data set from January 2002 to December 2021 have been exp...
An innovative optimization approach for energy management of a microgrid system
Amoura, Yahia; Pereira, Ana I.; Lima, José; Ferreira, Ângela P.; Boukli-Hacene, Fouad; Torres, SantiagoThe local association of electrical generator including renewable energies and storage technologies approximately installed to the client made way for a small-scale power grid called a microgrid. In certain cases, the random nature of renewable energy sources, combined with the variable pattern of demand, results in issues concerning the sustainability and reliability of the microgrid system. Furthermore, the c...
Optimal energy management of microgrid using multi-objective optimisation approach
Amoura, Yahia; Pereira, Ana I.; Lima, José; Ferreira, Ângela P.; Boukli-Hacene, FouadThe use of several distributed generators as well as the energy storage system in a local microgrid require an energy management system to maximize system efficiency, by managing generation and loads. The main purpose of this work is to find the optimal set-points of distributed generators and storage devices of a microgrid, minimizing simultaneously the energy costs and the greenhouse gas emissions. A multi-ob...
An improved GA-based approach for reduced non-discriminatory renewable energy c...
Pedroso, André Felipe Pereira; Zanatta, Giuseppe; Ferreira, Ângela P.; Pereira, Ana I.; Amoura, Yahia; Lopes, Rui Pedro; Angelos, Eduardo Werley S. dosThe active management of the networks with high penetration of renewable energy sources faces several challenges. To maximize the utilization of low carbon electricity, the curtailment of generator units using renewables should be limited and fair among units. In this work, an attempt has been made to solve the optimal power flow using an improved Genetic Algorithm. The optimal flow formulation is oriented to t...
A hybrid genetic algorithm for optimal active power curtailment considering ren...
Pedroso, André Felipe Pereira; Amoura, Yahia; Pereira, Ana I.; Ferreira, Ângela P.This paper analyzes the application of a population-based algorithm and its improvement in solving an optimal power flow problem. Simulations were performed on a 14-bus IEEE network modified to include renewable energy sources-based power plants: a wind park and two photovoltaic solar parks. In this scenario, the high penetration of intermittent energy sources in the grid makes it necessary to curtail active po...
Analyzing the MathE Platform through clustering algorithms
Azevedo, Beatriz Flamia; Amoura, Yahia; Rocha, Ana Maria A. C.; Fernandes, Florbela P.; Pacheco, Maria F.; Pereira, Ana I.University lecturers have been encouraged to adopt innovative methodologies and teaching tools in order to implement an interactive and appealing educational environment. The MathE platform was created with the main goal of providing students and teachers with a new perspective on mathematical teaching and learning in a dynamic and appealing way, relying on digital interactive technologies that enable customize...
A short term wind speed forecasting model using artificial neural network and a...
Amoura, Yahia; Pereira, Ana I.; Lima, JoséFuture power systems encourage the use of renewable energy resources, among them wind power is of great interest, but its power output is intermittent in nature which can affect the stability of the power system and increase the risk of blackouts. Therefore, a forecasting model of the wind speed is essential for the optimal operation of a power supply with an important share of wind energy conversion systems. I...