191 research outputs found
Control and optimization methodologies to enable the energy and ancillary services through microgrids
No full textQuesta tesi di dottorato presenta i risultati delle ricerche condotte dall'autore durante le attività triennali del XXXVII ciclo del Dottorato di Ricerca in Ingegneria Elettrica e Informatica.
attività triennali del XXXVII ciclo del Dottorato di Ricerca in Ingegneria Elettrica e dell'Infor- mazione del Politecnico di Bari.
Ingegneria dell'Informazione presso il Politecnico di Bari, Italia. L'obiettivo primario di questa ricerca
è stato quello di sviluppare ed esplorare metodologie di controllo e ottimizzazione per abilitare l'energia e i servizi ausiliari attraverso le microgrid, con l'obiettivo di migliorarne l'affidabilità e la stabilità. Inoltre, la ricerca si è concentrata sulla facilitazione dell'integrazione delle fonti di energia rinnovabile, sulla garanzia di un funzionamento sicuro e stabile, sulla minimizzazione dei costi operativi complessivi del sistema e sul mantenimento dell'inerzia sintetica per ridurre il tasso di variazione della frequenza, il tutto soddisfacendo le richieste del carico. Le metodologie di controllo e ottimizzazione per le microgrid sono state ampiamente studiate, dalla gestione ottimale delle risorse al controllo dinamico dei componenti della microgrid. Questi studi si concentrano principalmente sulle operazioni della microgrid sia in modalità isolata che connessa alla rete. Nell'ambito del quadro proposto, sono state sviluppate metodologie di controllo e ottimizzazione robuste per gestire la risposta alla domanda, abilitare i servizi ausiliari e implementare un controllo gerarchico di alto livello. Queste metodologie affrontano livelli di controllo
livelli di controllo gerarchico, comprendendo le dinamiche a breve termine e la programmazione a lungo termine, e forniscono strategie complete per ottenere un coordinamento ottimale e lo scambio di energia tra multi-microgrid. Inoltre, questi approcci di controllo e ottimizzazione robusti sono stati analizzati per migliorare la regolazione della frequenza e della tensione, consentendo l'inerzia sintetica e tenendo conto delle incertezze del sistema. Per affrontare le sfide legate alle azioni di controllo dei convertitori di potenza, come il controllo della formazione della rete per la regolazione della frequenza, questa tesi introduce un nuovo approccio di controllo variazionale basato sul problema di Bolza modificato. Questo metodo aumenta le capacità di controllo ottimale attivo nei sistemi elettronici di potenza, migliorando significativamente la regolazione della frequenza nelle microgrid. Nel complesso, le metodologie di controllo e ottimizzazione proposte contribuiscono a migliorare l'affidabilità, la sicurezza e la stabilità delle microgrid, riducendo al contempo i costi operativi e le emissioni di gas serra.This doctoral thesis presents the results of the author’s research conducted during the
three-year activities of the XXXVII cycle of the Ph.D Program in Electrical and Infor-
mation Engineering at Politecnico di Bari, Italy. The primary objective of this research
was to develop and explore control and optimization methodologies for enabling energy
and ancillary services through microgrids, with the goal of enhancing their reliability and
stability. Furthermore, the research focused on facilitating the integration of renewable
energy sources, ensuring their secure and stable operation, minimizing overall system op-
erational costs, and maintaining synthetic inertia to reduce the rate of change of frequency,
all while meeting load demands. Control and optimization methodologies for microgrids have been extensively studied, ranging from optimal resource management to the dynamic control of microgrid
components. These studies primarily focus on microgrid operations in both islanded and
grid-connected modes. Within the proposed framework, robust control and optimization
methodologies have been developed to manage demand response, enable ancillary services,
and implement high-level hierarchical control. These methodologies address hierarchical
control levels, encompassing short-term dynamics and long-term scheduling, and provide
comprehensive strategies for achieving optimal coordination and energy trading among
multi-microgrids. Furthermore, these robust control and optimization approaches have
been analyzed to enhance frequency and voltage regulation, enabling the synthetic inertia,
while also accounting for system uncertainties. To tackle challenges related to power
converter control actions, such as grid-forming control for frequency regulation, this thesis
introduces a novel variational control approach based on the modified Bolza problem. This
method enhances active optimal control capabilities in power electronic systems, signifi-
cantly improving frequency regulation in microgrids. Overall, the proposed control and
optimization methodologies contribute to improving the reliability, security, and stability
of microgrids, while also reducing operational costs and greenhouse gas emissions
Robust Integral Terminal Sliding Mode Control for Frequency Regulation in Islanded Microgrids incorporating RESs and HESS using a Disturbance Observer
No full textRobust Optimization in Energy Management under RESs Uncertainties through BESS Integration
No full textThe economic dispatch (ED) problem in power systems looks to minimize generation costs while meeting demand and considering the limitations of generation units. However, the increasing integration of renewable energy sources (RESs), such as photovoltaic (PV) systems, into modern power systems has introduced unprecedented challenges due to their inherent variability and uncertainty, especially in conjunction with load variations. These challenges may make the economic dispatch solutions less effective and compromise the reliability of the power system. In this paper, a two stage robust optimization based methodology in energy management has been proposed aimed at achieving optimal economical dispatch operations. The objective function goals are to minimize the overall generation cost and reduce the battery energy storage system (BESS) aging cost through the economic scheduling of battery usage while considering the system uncertainties. An iterative column and constraint generation (C&CG) algorithm has been used to solve the two stage robust optimization. A customized IEEE-9 bus system is used to test the soundness of the presented methodology. Furthermore, a comparison has been made by considering the cases with and without BESS to demonstrate the superiority of the proposed approach in reducing generation costs
Table_S1 – Supplemental material for Evolutionary Analysis of Makorin Ring Finger Protein 3 Reveals Positive Selection in Mammals
No full textSupplemental material, Table_S1 for Evolutionary Analysis of Makorin Ring Finger Protein 3 Reveals Positive Selection in Mammals by Muhammad Jamil Ahmad, Hafiz Ishfaq Ahmad, Muhammad Muzammal Adeel, Aixin Liang, Hua Guohua, Saeed Murtaza, Riaz Hussain Mirza, Abdelmotaleb Elokil, Farman Ullah and Liguo Yang in Evolutionary Bioinformatics</p
Optimization of Multi-Microgrid Energy Trading in Distribution Networks Using a Master-Slave Game Approach
No full textImproving Reliability and Stability of the Power Systems: A Comprehensive Review on the Role of Energy Storage Systems to Enhance Flexibility
No full textThe rising demand for green energy to reduce carbon emissions is accelerating the integration of renewable energy sources (RESs) like wind and solar power. However, this shift presents significant challenges due to the inherent variability and intermittency of RESs, which impact power system stability and reliability. As a result, there is a growing need for enhanced flexibility to maintain stable and reliable operations. This study reviews recent advancements in power system flexibility enhancement, particularly concerning the integration of RESs, with a focus on the critical role of energy storage systems (ESSs) in mitigating these challenges. ESSs play a vital role in addressing the variability of RESs, supporting grid stability, and enabling energy consumption time shifting. While existing studies discuss power system flexibility, each typically addresses specific aspects. This comprehensive review evaluates flexibility measures for renewable-based electricity in terms of reliability and stability, highlighting the importance of ESSs in transmission, distribution networks, and end-user applications like residential buildings and vehicle-to-grid technologies to enhance overall system flexibility. Additionally, we identify recent challenges, such as the increased risk of grid congestion, frequency deviations, and the need for real-time supply and demand balancing, which necessitate innovative ESS applications. We propose future directions, including a transition pathway to promote the large-scale deployment of diverse ESS technologies to support grid modernization, enhance resilience, and foster sustainable power supply development. Our findings emphasize the growing research into optimizing power system stability and reliability, offering valuable guidance for future research and practical implementation
Robust nonlinear control design with optimal coordination methodology for bidirectional BEV chargers in V2G/G2V applications
No full textDeveloping Control Strategies to Enhance Power Quality in Grid-Connected Natural Gas Pressure Differential Generation Systems: Advancing Clean Energy Practices
No full textHierarchical multi-time-scale energy management system for secure and economic operation of islanded microgrids with GFM/GFL control
No full textPreparation and Characterization of Controlled-Release Floating Bilayer Tablets of Esomeprazole and Clarithromycin
No full textControlled-release effervescent floating bilayer tablets reduce dosage frequency and improve patient compliance with enhanced therapeutic outcomes. Generally, two different tablets of clarithromycin and esomeprazole, respectively, are given for the treatment of Helicobacter pylori infection and it might be worth incorporating both in a single tablet. In the current study, controlled-release floating bilayer tablets of clarithromycin and esomeprazole (F1–F4) were developed with different rates of polymeric materials by a direct compression method. During the formulation, Fourier-transform infrared spectroscopy (FTIR) analysis was performed for possible interactions between drugs and excipients. No interactions between drugs and excipients were noted. Moreover, the bilayer tablets’ thickness, diameter, friability, hardness, weight variation, dissolution, and percent purity were found within the acceptable limits. The floating lag time and total floating time of all formulations were found to be < 25 s and 24 h, respectively. The release of both the clarithromycin and esomeprazole started at the same time from the controlled-release floating bilayer tablets by anomalous non-Fickian diffusion, and the polymeric materials extended the drug release rate up to 24 h. In the case of F1, the results approached ideal zero-order kinetics. The dissolution profiles of the tested and reference tablet formulations were compared, but no significant differences were observed. It can be concluded that such controlled-release effervescent floating bilayer tablets can be efficiently used in clinical practice to reduce dosage frequency and increase patient compliance with continuous drug release for 24 h, which ultimately might enhance therapeutic efficacy
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