Optimization of distributed generation of renewable energy sources by intelligent techniques Marcello Pucci – Institute for Studies on Intelligent Systems for Automation (I.S.S.I.A), National Research Council, Palermo (Italy)
Optimization of distributed generation of renewable energy sources by intelligent techniques
Marcello Pucci – Institute for Studies on Intelligent Systems for Automation (I.S.S.I.A), National Research Council, Palermo (Italy)
Intelligent Analysis of Environmental Data (S4 ENVISA Workshop 2009)
Presentation, embedded below was developed to bring users up to speed in interpretation of their resistivity data. Class for end users was conducted in Indonesia and included training on field data collection with SibER-48 using ~ 900 m long profile in Wenner-Schlumberger and pole-dipole (remote electrode) 2D tomography. On the second day users received hands-on instructions on data import into RES2DINV software, quality assurance of the data based on visual approach as well as through RMS of the interpretation model.
General discussion about non-uniqueness of the subsurface interpretation model for 1D, 2D, and 3D representations has followed this class.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Ml srhwt-machine-learning-based-superlative-rapid-haar-wavelet-transformation...Jumlesha Shaik
Abstract: In this paper a digital image coding technique called ML-SRHWT (Machine Learning based image coding by Superlative Rapid HAAR Wavelet Transform) has been introduced. Compression of digital image is done using the model Superlative Rapid HAAR Wavelet Transform (SRHWT). The Least Square Support vector Machine regression predicts hyper coefficients obtained by using QPSO model. The mathematical models are discussed in brief in this paper are SRHWT, which results in good performance and reduces the complexity compared to FHAAR and EQPSO by replacing the least good particle with the new best obtained particle in QPSO. On comparing the ML-SRHWT with JPEG and JPEG2000 standards, the former is considered to be the better.
Automatic Generation Control of Two-area Interconnected Hydro-Hydro Restructu...IDES Editor
Non-minimum phase characteristic of hydro
turbine shows an opposite initial power surge in the event
of frequency disturbance, thus possesses widely different
characteristic than thermal generating unit. This paper
presents Automatic Generation Control (AGC) of an
interconnected two-area multiple-units hydro-hydro
power system in restructured electricity market. The step
load perturbation to such a system results in heavy
frequency oscillations and the system is unable to regain
its stable state as the positive real parts of some
eigenvalue pairs confirm the inherent dynamically
unstable characteristic of the system. To stabilize the
frequency oscillations, impacts of Superconducting
Magnetic Energy Storage (SMES) placed at terminal of
area and Thyristor Controlled Phase Shifter (TCPS)
located in series with tie-line have been investigated. Two
cases such as (a) SMES-SMES coordination and (b)
TCPS-SMES coordination are evaluated to compare their
effectiveness to suppress the frequency oscillations. The
parameters of TCPS, SMES and integral gains of AGC
loop are optimized through craziness-based particle
swarm optimization algorithm in order to have the
optimal transient response of the system under different
PoolCo and bilateral transaction in restructured
electricity market.
Presentation, embedded below was developed to bring users up to speed in interpretation of their resistivity data. Class for end users was conducted in Indonesia and included training on field data collection with SibER-48 using ~ 900 m long profile in Wenner-Schlumberger and pole-dipole (remote electrode) 2D tomography. On the second day users received hands-on instructions on data import into RES2DINV software, quality assurance of the data based on visual approach as well as through RMS of the interpretation model.
General discussion about non-uniqueness of the subsurface interpretation model for 1D, 2D, and 3D representations has followed this class.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Ml srhwt-machine-learning-based-superlative-rapid-haar-wavelet-transformation...Jumlesha Shaik
Abstract: In this paper a digital image coding technique called ML-SRHWT (Machine Learning based image coding by Superlative Rapid HAAR Wavelet Transform) has been introduced. Compression of digital image is done using the model Superlative Rapid HAAR Wavelet Transform (SRHWT). The Least Square Support vector Machine regression predicts hyper coefficients obtained by using QPSO model. The mathematical models are discussed in brief in this paper are SRHWT, which results in good performance and reduces the complexity compared to FHAAR and EQPSO by replacing the least good particle with the new best obtained particle in QPSO. On comparing the ML-SRHWT with JPEG and JPEG2000 standards, the former is considered to be the better.
Automatic Generation Control of Two-area Interconnected Hydro-Hydro Restructu...IDES Editor
Non-minimum phase characteristic of hydro
turbine shows an opposite initial power surge in the event
of frequency disturbance, thus possesses widely different
characteristic than thermal generating unit. This paper
presents Automatic Generation Control (AGC) of an
interconnected two-area multiple-units hydro-hydro
power system in restructured electricity market. The step
load perturbation to such a system results in heavy
frequency oscillations and the system is unable to regain
its stable state as the positive real parts of some
eigenvalue pairs confirm the inherent dynamically
unstable characteristic of the system. To stabilize the
frequency oscillations, impacts of Superconducting
Magnetic Energy Storage (SMES) placed at terminal of
area and Thyristor Controlled Phase Shifter (TCPS)
located in series with tie-line have been investigated. Two
cases such as (a) SMES-SMES coordination and (b)
TCPS-SMES coordination are evaluated to compare their
effectiveness to suppress the frequency oscillations. The
parameters of TCPS, SMES and integral gains of AGC
loop are optimized through craziness-based particle
swarm optimization algorithm in order to have the
optimal transient response of the system under different
PoolCo and bilateral transaction in restructured
electricity market.
Direct variational calculation of second-order reduced density matrix : appli...Maho Nakata
Presented at GCOE interdisciplinary workshop on numerical methods for many-body correlations, https://sites.google.com/a/cns.s.u-tokyo.ac.jp/shimizu/gcoe
Area-Delay Efficient Binary Adders in QCAIJERA Editor
In this paper, a novel quantum-dot cellular automata (QCA) adder design is presented that decrease the number
of QCA cells compared to previously method designs. The proposed one-bit QCA adder is based on a new
algorithm that requires only three majority gates and two inverters for the QCA addition. A novel 128-bit adder
designed in QCA was implemented. It achieved speed performances higher than all the existing. QCA adders,
with an area requirement comparable with the low RCA and CFA established. The novel adder operates in the
RCA functional, but it could propagate a carry signal through a number of cascaded MGs significantly lower
than conventional RCA adders. In adding together, because of the adopted basic logic and layout strategy, the
number of clock cycles required for completing the explanation was limited. As transistors reduce in size more
and more of them can be accommodated in a single die, thus increasing chip computational capabilities.
However, transistors cannot find much smaller than their current size. The quantum-dot cellular automata
approach represents one of the possible solutions in overcome this physical limit, even though the design of
logic modules in QCA is not forever straightforward.
Designing of an Energy-Efficient Nanoelectronics Architecture for Binary Comp...VIT-AP University
Quantum-dot cellular automata is a nanoscale computation circuit design approach which computes bits via charges
among quantum-dot in the quantum cell of QCA. This technology has promises the feature of energy efficient and high
density in the era of high-speed nanotechnology. This article contributes a new nanoscale design of binary comparator
with less latency, area, and clock utilized. The proposed comparator architecture is robust and enjoys wire crossing
without any crossover, which needs only normal and rotated cells. All the simulation results and calculated parameters
are based on the QCADesigner tool. QCAPro tool based approach has been used to perform the energy dissipation
estimation of the new comparator architecture. A better primitives results as compared to state-of-art technology has
been achieved and good contribution in this area.
Optimal Placement of Dynamic Voltage Restorer in Distribution Systems for Vol...IJERA Editor
This paper deals with Dynamic Voltage Restorer (DVR) allocation in radial distribution systems by injecting series voltage. The DVR is used to inject both real and reactive powers into the system for voltage profile improvement and active and reactive power loss minimization. The objective of this paper is to identify the optimal location and series voltage of DVR using Particle Swarm Optimization (PSO) algorithm. The proposed method is tested on standard IEEE 33-bus system and the results are presented.
This is the draft slides we use for DAC 2014 presentation.
Abstract: We proposed MATEX, a distributed framework for transient simulation of power distribution networks (PDNs). MATEX utilizes matrix exponential kernel with Krylov subspace approximations to solve differential equations of linear circuit. First, the whole simulation task is divided into subtasks based on decompositions of current sources, in order to reduce the computational overheads. Then these subtasks are distributed to different computing nodes and processed in parallel. Within each node, after the matrix factorization at the beginning of simulation, the adaptive time stepping solver is performed without extra matrix re-factorizations. MATEX overcomes the stiffness hinder of previous matrix exponential-based circuit simulator by rational Krylov subspace method, which leads to larger step sizes with smaller dimensions of Krylov subspace bases and highly accelerates the whole computation. MATEX outperforms both traditional fixed and adaptive time stepping methods, e.g., achieving around 13X over the trapezoidal framework with fixed time step for the IBM power grid benchmarks.
Multi-objective whale optimization based minimization of loss, maximization o...IJECEIAES
Huge need in electricity causes placement of Distribution Generation (DG)s like Photovoltaics (PV) systems in distribution side for enhancing the loadability by improving the voltage stability and minimization of loss with minimum cost. Many optimal placements of DG have done in focus of minimum loss and improving voltage profile. This Whale optimization is a new optimization technique framed with mathematics of spiral bubble-net feeding behavior of humpback whales for solving a power system multi-objective problem considering cost of the power tariff and DG. Here main objectives are minimizing loss and cost with maximization of voltage stability index. IEEE 69 power system data is used for solution of the proposed method.
International Journal of Engineering Research and Development is an international premier peer reviewed open access engineering and technology journal promoting the discovery, innovation, advancement and dissemination of basic and transitional knowledge in engineering, technology and related disciplines.
We follow "Rigorous Publication" model - means that all articles appear on IJERD after full appraisal, effectiveness, legitimacy and reliability of research content. International Journal of Engineering Research and Development publishes papers online as well as provide hard copy of Journal to authors after publication of paper. It is intended to serve as a forum for researchers, practitioners and developers to exchange ideas and results for the advancement of Engineering & Technology.
International Journal of Engineering Research and Development is an international premier peer reviewed open access engineering and technology journal promoting the discovery, innovation, advancement and dissemination of basic and transitional knowledge in engineering, technology and related disciplines.
We follow "Rigorous Publication" model - means that all articles appear on IJERD after full appraisal, effectiveness, legitimacy and reliability of research content. International Journal of Engineering Research and Development publishes papers online as well as provide hard copy of Journal to authors after publication of paper. It is intended to serve as a forum for researchers, practitioners and developers to exchange ideas and results for the advancement of Engineering & Technology.
Direct variational calculation of second-order reduced density matrix : appli...Maho Nakata
Presented at GCOE interdisciplinary workshop on numerical methods for many-body correlations, https://sites.google.com/a/cns.s.u-tokyo.ac.jp/shimizu/gcoe
Area-Delay Efficient Binary Adders in QCAIJERA Editor
In this paper, a novel quantum-dot cellular automata (QCA) adder design is presented that decrease the number
of QCA cells compared to previously method designs. The proposed one-bit QCA adder is based on a new
algorithm that requires only three majority gates and two inverters for the QCA addition. A novel 128-bit adder
designed in QCA was implemented. It achieved speed performances higher than all the existing. QCA adders,
with an area requirement comparable with the low RCA and CFA established. The novel adder operates in the
RCA functional, but it could propagate a carry signal through a number of cascaded MGs significantly lower
than conventional RCA adders. In adding together, because of the adopted basic logic and layout strategy, the
number of clock cycles required for completing the explanation was limited. As transistors reduce in size more
and more of them can be accommodated in a single die, thus increasing chip computational capabilities.
However, transistors cannot find much smaller than their current size. The quantum-dot cellular automata
approach represents one of the possible solutions in overcome this physical limit, even though the design of
logic modules in QCA is not forever straightforward.
Designing of an Energy-Efficient Nanoelectronics Architecture for Binary Comp...VIT-AP University
Quantum-dot cellular automata is a nanoscale computation circuit design approach which computes bits via charges
among quantum-dot in the quantum cell of QCA. This technology has promises the feature of energy efficient and high
density in the era of high-speed nanotechnology. This article contributes a new nanoscale design of binary comparator
with less latency, area, and clock utilized. The proposed comparator architecture is robust and enjoys wire crossing
without any crossover, which needs only normal and rotated cells. All the simulation results and calculated parameters
are based on the QCADesigner tool. QCAPro tool based approach has been used to perform the energy dissipation
estimation of the new comparator architecture. A better primitives results as compared to state-of-art technology has
been achieved and good contribution in this area.
Optimal Placement of Dynamic Voltage Restorer in Distribution Systems for Vol...IJERA Editor
This paper deals with Dynamic Voltage Restorer (DVR) allocation in radial distribution systems by injecting series voltage. The DVR is used to inject both real and reactive powers into the system for voltage profile improvement and active and reactive power loss minimization. The objective of this paper is to identify the optimal location and series voltage of DVR using Particle Swarm Optimization (PSO) algorithm. The proposed method is tested on standard IEEE 33-bus system and the results are presented.
This is the draft slides we use for DAC 2014 presentation.
Abstract: We proposed MATEX, a distributed framework for transient simulation of power distribution networks (PDNs). MATEX utilizes matrix exponential kernel with Krylov subspace approximations to solve differential equations of linear circuit. First, the whole simulation task is divided into subtasks based on decompositions of current sources, in order to reduce the computational overheads. Then these subtasks are distributed to different computing nodes and processed in parallel. Within each node, after the matrix factorization at the beginning of simulation, the adaptive time stepping solver is performed without extra matrix re-factorizations. MATEX overcomes the stiffness hinder of previous matrix exponential-based circuit simulator by rational Krylov subspace method, which leads to larger step sizes with smaller dimensions of Krylov subspace bases and highly accelerates the whole computation. MATEX outperforms both traditional fixed and adaptive time stepping methods, e.g., achieving around 13X over the trapezoidal framework with fixed time step for the IBM power grid benchmarks.
Multi-objective whale optimization based minimization of loss, maximization o...IJECEIAES
Huge need in electricity causes placement of Distribution Generation (DG)s like Photovoltaics (PV) systems in distribution side for enhancing the loadability by improving the voltage stability and minimization of loss with minimum cost. Many optimal placements of DG have done in focus of minimum loss and improving voltage profile. This Whale optimization is a new optimization technique framed with mathematics of spiral bubble-net feeding behavior of humpback whales for solving a power system multi-objective problem considering cost of the power tariff and DG. Here main objectives are minimizing loss and cost with maximization of voltage stability index. IEEE 69 power system data is used for solution of the proposed method.
Similar to Optimization of distributed generation of renewable energy sources by intelligent techniques Marcello Pucci – Institute for Studies on Intelligent Systems for Automation (I.S.S.I.A), National Research Council, Palermo (Italy)
International Journal of Engineering Research and Development is an international premier peer reviewed open access engineering and technology journal promoting the discovery, innovation, advancement and dissemination of basic and transitional knowledge in engineering, technology and related disciplines.
We follow "Rigorous Publication" model - means that all articles appear on IJERD after full appraisal, effectiveness, legitimacy and reliability of research content. International Journal of Engineering Research and Development publishes papers online as well as provide hard copy of Journal to authors after publication of paper. It is intended to serve as a forum for researchers, practitioners and developers to exchange ideas and results for the advancement of Engineering & Technology.
International Journal of Engineering Research and Development is an international premier peer reviewed open access engineering and technology journal promoting the discovery, innovation, advancement and dissemination of basic and transitional knowledge in engineering, technology and related disciplines.
We follow "Rigorous Publication" model - means that all articles appear on IJERD after full appraisal, effectiveness, legitimacy and reliability of research content. International Journal of Engineering Research and Development publishes papers online as well as provide hard copy of Journal to authors after publication of paper. It is intended to serve as a forum for researchers, practitioners and developers to exchange ideas and results for the advancement of Engineering & Technology.
Case Study: Cyclic Voltametric MeasurementHasnain Ali
The design of an ac Cyclic Voltammetric Measurement System for the in –situ measurement of dissolved oxygen in sediment on the seabed. The measurement strategy should be based on linear ramp cyclic voltammetry
Parameter Extraction of PV Module using NLS Algorithm with Experimental Valid...IJECEIAES
Photovoltaic (PV) module parameters act an important task in PV system design and simulation. Most popularly used single diode Rsh model has five unknown electrical parameters such as series resistance (Rse), shunt resistance (Rsh), diode quality factor (a), photo-generated current (Ipg) and dark saturation current (Is) in the mathematical model of PV module. The PV module output voltage and current relationship is represented by a transcendental equation and is not possible to solve analytically. This paper proposes nonlinear least square (NLS) technique to extract five unknown parameters. The proposed technique is compared with other two popular techniques available in the literature such as Villalva’s comprehensive technique and modified Newton-Raphson (N-R) technique. Only two parameters Rse and Rsh are estimated by Villalva’s technique, but all single diode unknown electrical parameters can be estimated by the NLS technique. The accuracy of different estimation techniques is compared in terms of absolute percentage errors at MPP and is found the minimum for the proposed technique. The elapsed time for parameter estimation for NLS technique is minimum and much less compared to other two techniques. Extracted parameters of polycrystalline ELDORA-40 PV panel by the proposed technique have been validated through simulation and experimental current-voltage (I-V) and power-voltage (P-V) characteristics.
Islanding Detection of Inverter Based DG Unit Using PV SystemIAES-IJPEDS
Distributed generation (DG) units are rapidly increasing and most of them are interconnected with distribution network to supply power into the network as well as local loads Islanding operations of DG usually occur when power supply from the main utility is interrupted due to several reasons but the DG keeps supplying power into the distribution networks. a new method for islanding detection of inverter-based distributed generation (DG). Although active islanding detection techniques have smaller non detection zones than passive techniques, active methods could degrade the system power quality and are not as simple and easy to implement as passive methods. The phenomenon of unintentional islanding occurs when a distributed generator (DG) continues to feed power into the grid when power flow from the central utility source has been interrupted. A simple islanding detection scheme has been designed based on this idea. The proposed method has been studied under multiple-DG operation modes and the UL 1741 islanding tests conditions and also using a PV system. The simulations results, carried out by MATLAB/Simulink, show that the proposed method has a small Non detection zone.
SINGLE-DIODE AND TWO-DIODE PV CELL MODELING USING MATLAB FOR STUDYING CHARACT...ecij
This paper presents a detailed eplaination about various characteristics of ideal single diode, practical single diode and two diode equivalent circuit models realized for modeling of solar photovoltaic cell. Then it presents non-linear mathematical equations necessary for producing I-V and P-V characteristics from a single diode model. A flowchart has been made for estimation of solar cell output current, for single diode and two diode model, using Newton-Raphson iterative technique which is then programmed in MATLAB script file accordingly. A typical 120W polycrystalline solar module specifications have been used for model accuracy evaluation. The characteristic curves were obtained with the use of manufacturer`s datasheet and it shows the precise correspondence to both the models.
In recent years, applications of facts systems have been developed for the compensation of active and reactive power. Facts systems are electronics devices that are connected to the wind farm. This paper presents the impacts of some of these devices on the stability of a wind farm, especially D-STATCOM, Static Var Compensator and Fuzzy SVC controller. First, a presentation of D-STATCOM, SVC, then fuzzy logic controller. In simulation study, the D-STATCOM ensures the stability of the voltage and current at the point of connection with the electrical grid. Finally, Comparing the SVC to the F-SVC simulations, we notice that the F-SVC is more performed than SVC for the compensation of the active and reactive power.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
In this paper two configurations of solar photovoltaic energy conversion using the NPC five levels inverter for stand-alone application in south Algeria are proposed and their performances compared. The first cascade uses four separate PV sources and the second configuration use only one PV generator. In these two cases and without DC/DC converter introduced between PV source and inverter and to get a stable AC voltage, authors in propose a proportional regulator of inverter modulation index. The SVPWM technique is used in order to get the best voltage waveform. For the second configuration proposed, we introduce in the control loops another algorithm which uses the redundant vectors of space vector diagram of inverter to stabilise the DC bus voltages. A real data of temperature and solar irradiation obtained by radiometric station in Ghardaïa city in south Algeria are used to test the performance of proposed controls. The simulation results show that the inverter output voltage is stable for the two configurations proposed despite the variation of solar irradiation, temperature and load. Also, the THD obtained is in the limits of international standards. Then, the PV cascade with separate PV sources is the best solution, seeing that we do not need to use another algorithm in the control loops.
Similar to Optimization of distributed generation of renewable energy sources by intelligent techniques Marcello Pucci – Institute for Studies on Intelligent Systems for Automation (I.S.S.I.A), National Research Council, Palermo (Italy) (20)
Analyzing and assessing ecological transition in building sustainable citiesBeniamino Murgante
"Analyzing and assessing ecological transition in building sustainable cities" Keynote presentation at "International Conference on Sustainable Environment and Technologies" 23 September 2022, Nicolas Tesla University Union, Belgrade, Serbia
Smart Cities: New Science for the Cities
Beniamino Murgante
School of Engineering, University of Basilicata
Lecture at the Department of Community and Regional Planning
Smart Cities course - Professor Alenka Poplin
Keynote at the 24th International Conference on Urban Planning and Regional Development in the Information Society
GeoMultimedia 2019, 2-4 April 2019
Karlsruhe Institute of Technology, Germany
Involving citizens in smart energy approaches: the experience of an energy pa...Beniamino Murgante
Involving citizens in smart energy approaches: the experience of an energy park in Calvello municipality
4th International Conference on Urban e-Planning, University of Lisbon, 23-24 April 2019
Programmazione per la governance territoriale in tema di tutela della biodive...Beniamino Murgante
Programmazione per la governance territoriale in tema di tutela della biodiversità - Sabrina Lai - Regione Sardegna, Direzione generale della difesa dell’ambiente slai@regione.sardegna.it
Università degli Studi di Cagliari, DICAAR, sabrinalai@unica.it
RISCHIO TERRITORIALE NEL GOVERNO DEL TERRITORIO: Ricerca e formazione nelle s...Beniamino Murgante
RISCHIO TERRITORIALE NEL GOVERNO DEL TERRITORIO: Ricerca e formazione nelle scuole di ingegneria
Giuseppe Las Casas, Beniamino Murgante, Francesco Scorza
UrbIng 2016
GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...Beniamino Murgante
GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven geospatial workforce education/training system
Mauro Salvemini, Giuliana Vitiello, Monica Sebillo, Sergio Farruggia. Beniamino Murgante
Focussing Energy Consumers’ Behaviour Change towards Energy Efficiency and Lo...Beniamino Murgante
Focussing Energy Consumers’ Behaviour Change towards Energy Efficiency and Low Carbon Economy: Perspective for Policy Making, Transnational Cooperation and Research.
Beniamino Murgante, Francesco Scorza,
Alessandro Attolico, Federico Amato
Presented at the REAL CORP 2016 - 21st International Conference on Urban Planning
and Regional Development in the Information Society
GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven g...Beniamino Murgante
GEOGRAPHIC INFORMATION – NEED TO KNOW (GI-N2K) Towards a more demand-driven geospatial workforce education/training system
Mauro Salvemini, Francesco Di Massa, Monica Sebillo, Sergio Farruggia. Beniamino Murgante
Garden in motion. An experience of citizens involvement in public space regen...Beniamino Murgante
Garden in motion. An experience of citizens involvement in public space regeneration.
Sara Lorusso, Gerardo Sassano, Michele Scioscia, Antonio Graziadei, Pasquale Passannante, Sara Bellarosa, Francesco Scaringi, Beniamino Murgante
Fino alla fine degli anni '80 un urbanista che cercava di supportare dei ragionamenti di piano con l'informatica riusciva ad ottenere, nel migliore dei casi, qualche dato statistico sulla popolazione. Con il trascorrere degli anni si è assistito ad un incremento dell'utilizzo delle tecnologie per la costruzione dei quadri conoscitivi a supporto del processo di piano, fino a raggiungere l'attuale Information Explosion Era.
Il contenuto dell'intervento si baserà su aspetti teorici ed applicativi a partire dall'esperienza di Ian McHarg fino all'ultima "moda" delle Smart Cities.
Introduzione
Andreina Maahsen-Milan
Università di Bologna
Tecnologie, Territorio, Smartness
Beniamino Murgante
Università della Basilicata
Facoltà Ingegneria Edile di Ravenna - Università di Bologna
Via Tombesi dall'Ova 55, 48121 Ravenna
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
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GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
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GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
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1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Elevating Tactical DDD Patterns Through Object CalisthenicsDorra BARTAGUIZ
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LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Free Complete Python - A step towards Data Science
Optimization of distributed generation of renewable energy sources by intelligent techniques Marcello Pucci – Institute for Studies on Intelligent Systems for Automation (I.S.S.I.A), National Research Council, Palermo (Italy)
1. Optimization of Distributed Generation of Renewable
Energy Sources by Intelligent Techniques
Marcello Pucci
ISSIA (Istituto di Studi sui Sistemi Intelligenti per l’Automazione) – CNR
Via Dante, 12 – 90100 Palermo
pucci@pa.issia.cnr.it
2. Outline:
-Introduction
-Photovoltaic Plants
-Structure of the system
-Addressed issues
-Fuzzy control of PV voltage
-Neural MPPT of PV plants
-Neural emulation of PV plants
-K-means clustering of PV data
-Partial shading effect in PV plants
-Wind Plants
-Structure of the system
-Control techniques of IM wind generators
-Neural MPPT of IM generators
-Conclusions
3. Introduction:
Among the main research topics there are:
- Control techniques of power converters for exploiting the best
dynamic performance of the sources, according to their
characteristics and nonlinearities.
- Design of power converter topologies suited for a multi-source
input from several renewable sources.
- Experimental emulation of the renewable sources to reproduce all
the operating working conditions, avoiding any potential damage
or risk.
-Optimal exploit of the input energy source by MPPT-like
(Maximum Power Point Tracking) techniques.
- Connection techniques of the converter to the electrical grid.
- Effective estimation of the producible energy from a PV plant.
- Study of the partial shading effects in PV plants.
4. Photo-voltaic plant – Structure of the system
In multi-string technology,
several strings of PV modules
with separate maximum power
point tracking (MPPT) systems,
represented by DC/DC boost
converters, are connected to a
common grid connected
inverter.
Since every string can be controlled individually, the overall
efficiency of the PV plant is increased compared to former
centralized technology. Moreover the enlargement and upgrade
of the plant is possible simply by plugging new strings, with their
own DC/DC converters, into the existing platform.
5. Photo-voltaic plant – Addressed issues
The main issues which have been faced up to are:
-Intelligent voltage control of the DC-DC boost power converter to
guarantee the stability of the system in all working conditions and
correspondigly achieve the best dynamic performance.
-Intelligent emulation of the PV panel characteristics, including
their dependence on the solar irradiation and temperature.
-Optimal exploitation of the solar energy by neural mapping of
the PV chacteristic integrated with a perturbe&observe
technique.
-Use of statistical tools in order to obtain an effective estimation
of the energy produced by a photovoltaic array.
-Study of partial shading effects on I-V curves in large
photovoltaic fields by a reduced number of irradiance sensors.
6. PV plant – Fuzzy control of PV voltage
The transfer function of the averaged small-signal model of the
PV array can be written as:
K V − dRCV +L
r L P −r +R
H )= 2
(s 0
K0 = 0
ξ= ω= d L
s +2 ω ω
ξ s+ 2 n CV
L P 2dL P ω
r CV −r L PV
d C
7. Photo-voltaic plant – Results
Transition of the operating point from the constant voltage region
at G=950 W/m2 to the constant current region at G=550 W/m2
8. Photo-voltaic plant – K-means clustering
The whole experimental data set (about 12000
couples of values of current and voltage,
between 100 and 1100 W/m2 and 20 and 50°C) Useful experimental data subset (8242
points) for accurate energy forecast
5.5
5
4.5
4 1
3.5
Cluster
3
Current [A]
2.5
2
2
3
1.5
0 0.2 0.4 0.6 0.8 1
1 Silhouette Value
0.5 Silhouette plot for k=3
0
225 230 235 240 245 250
Grid Voltage [V]
E = ∑V i i I ∆t = 755kWh
E G1 = ∑V I ∆t
all sampled data
i 1 i1
i =1÷8242
( Cluster 1)
E = ∑ V I ∆t = 745kWh
Cluster 1
i i
9. PV plant–Kriging estimation of the shadow
G ri d
1
2 G ri d Spatial shadowing
3 G ri d distribution (3D and
4 G ri d 2D) on the PV field
5 G ri d
6 G ri d
6
UPPER STRING
Kriging map of the 4
Kriging based
shadowing with one
Current [A]
Measurement based
sensor per module.
2
0
0 50 100 150 200 250 300 350 400
Voltage [V]
6
LOWER STRING
Kriging map of the 4 Kriging based
Current [A]
shadowing with the 25% 2
of sensors. Measurement based
0
0 50 100 150 200 250 300 350 400
Voltage [V]
I-V characteristics of the upper and lower strings in array 4
10. Photo-voltaic plant – Neural MPPT of PV plants
The Growing Neural Gas (GNG) neural network has been used to
obtain the estimation of the maximum power point on the basis
of the instantaneous measurements of voltage and current
supplied by the PV source; Starting from this point a variable step
P&O algorithm searches for and locks the maximum power
working point
12. Photo-voltaic plant – Neural emulation of PV
Model based emulators have the following drawbacks: 1) model
parameters should be well known, 2) the array model is highly
non-linear and complex, 3) the modeling cannot be extended to
other kinds of sources (Fuel Cells for example). Another approach
consists in determining a numerical model of the PV array, based
on experimental data processed by AI.
14. Wind plants: Structure of the system
Induction machine wind generators with back-to-back inverter
topology and vector control on both the machine side and grid
side inverters seem to be a very good solution to achieve high
performance in controlling the electromechanical power
conversion with minimum impact on the grid.
15. Wind plants: Neural MPPT of IM generators
The Growing Neural Gas neural network implements the inverse
turbine model; it outputs the estimated wind speed from the
actual machine torque and speed. On this basis and the
knowledge of the optimal tip speed ratio, the computation of the
optimal power reference speed is computed.
18. Conclusions:
-Several applications of artificial intelligence to distributed
generators have been done.
-A fuzzified adaptive PI controller for the DC-DC boost converter
of the PV plant has been devised which guarantees the best
dynamic performance and the stability the system in all the
working conditions.
-A neural MPPT technique, based on the Growing Neural Gas, has
been devised which permits the PV plant work always in the MPP
point, according to any solar irradiance and environmental
temperature variations. This method has been further integrated
with a perturbe&observe technique.
-A neural PV emulator, based on the Growing Neural Gas and a
controlled DC-DC buck converter, has been devised permitting to
simulate experimentally the behaviour of the PV array in all
working conditions.
19. Conclusions:
-Two intelligent techniques have been devised, respectively for
clustering significant data for energy production and for energy
forecast in partial shading conditions.
-A neural MPPT technique, based on the Growing Neural Gas, has
been devised which permits the Induction Generator wind plant
to work always in the MPP point, according to any variations of
the wind speed.