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Workshop on Smart Grid and Renewable Energy (SGRE)

作者： Halil Ertaş Uğur Fesli Şevki Demirbaş Department of Electrical-Electronic Engineering Technology Faculty Gazi University Ankara Türkiye Electronic and Automation Department Technical Sciences Vocational School Gazi University Ankara Türkiye

In this study, power distribution of a grid-connected hybrid power plant consisting of a 3.125 MVA diesel generator (DG) and 2 MW photovoltaic solar panels (PV) has been controlled. By using hourly solar radiation and temperature values of a day recorded in 2020, the power produced by PV has been instantly estimated with artificial neural networks (ANN). The diesel generator has been controlled according to the estimated values to obtain the required power produced by the diesel generator. As a result, using the proposed coordinated control methods, the total maximum power generated by the power plant is kept constant while decreasing fuel consumption.

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Optimal Stochastic Scheduling of a Multi-Carrier Multi-Microgrid System Considering Storages, Demand Responses, and Thermal Comfort

SSRN

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SSRN 2023年

作者： Seyednouri, Seyed Reza Safari, Amin Farrokhifar, Meisam Najafi Ravadanegh, Sajad Quteishat, Anas Younis, Mahmoud Department of Electrical Engineering Azarbaijan Shahid Madani University Tabriz Iran Department of the Built Environment Eindhoven University of Technology Eindhoven Netherlands Electrical Engineering Department Faculty of Engineering Technology Al Balqa Applied University Al-Salt Jordan Department of Electrical and Computer Engineering Sohar University Sohar Oman

This paper focuses on the day-ahead scheduling of a multi-microgrid system that delivers electricity, heat, and hydrogen to their customers;hence, this system is a multi-carrier multi-microgrid. The microgrids are equipped with renewable sources, combined heat and power, gas boiler, electric boiler, multi-energy storages, and power-to-hydrogen facilities, and aim at minimizing their operational cost. A demand response program for electrical and hydrogen loads as well as thermal comfort for heat demand has been considered to increase the flexibility of the system. Distribution company, which aims at maximizing its profit, imports electricity and natural gas from the main grid at time-of-use and fixed prices, respectively. To this end, scenario-based stochastic optimization is proposed in this paper, and scenarios were generated using appropriated probability density functions and reduced using the mixed-integer linear programming method. Considering that the problem consisted of two conflicting objective functions, microgrids cost reduction and distribution company profit increase, the problem was two-level and possessed nonlinear terms. The Karush–Kuhn–Tucker conditions, duality theory, and Fortuny–Amat transformation were appropriately implemented to transfer the problem into a single-level mixed-integer linear programming problem. The effectiveness of the proposed framework in three cases has been tested on a hypothetical multi-carrier multi-microgrid. © 2023, The Authors. All rights reserved.

关键词： Profitability

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Error-Correcting Codes for Combinatorial Composite DNA

Error-Correcting Codes for Combinatorial Composite DNA

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IEEE International Symposium on Information Theory

作者： Omer Sabary Inbal Preuss Ryan Gabrys Zohar Yakhini Leon Anavy Eitan Yaakobi Faculty of Computer Science Technion-Israel Institute of Technology Haifa Israel Faculty of Computer Science Reichman University Hezliya Israel Department of Electrical and Computer Engineering University of California San Diego La Jolla CA USA

ISBN: (数字)9798350382846

ISBN: (纸本)9798350382853

Data storage in DNA is developing as a possible solution for archival digital data. Recently, to further increase the potential capacity of DNA-based data storage systems, the combinatorial composite DNA synthesis method was suggested. This approach extends the DNA alphabet by harnessing short DNA fragment reagents, known as shortmers. The shortmers are building blocks of the alphabet symbols, each consisting of a fixed number of shortmers. Thus, when information is read, it is possible that one of the shortmers that forms part of the composition of a symbol is missing and therefore the symbol cannot be determined. In this paper, we model this type of error as a type of asymmetric error and propose code constructions that can correct such errors in this setup. We also provide a lower bound on the redundancy of such error-correcting codes and give an explicit encoder and decoder for our construction. Our suggested error model is also supported by an analysis of data from actual experiments that produced DNA according to the combinatorial scheme. Lastly, we also provide a statistical evaluation of the probability of observing such error events, as a function of read depth.

关键词： Buffer storage Redundancy DNA Symbols Memory Probability Data models

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Sensor Fault Estimation and Ftc Design for Fractional Linear Systems Using the Conformable Derivative

Sensor Fault Estimation and Ftc Design for Fractional Linear...

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IEEE SSD International Multi-Conference on Systems, Signals and Devices

作者： Ali Omar M. Alsharif A. Jmal O. Naifar Ausama H. Ahmed H. Gassara A. Ben Makhlouf Control and Energy Management laboratory (CEM lab) Sfax University Engineering National School Tunisia Department of Electrical & Computer Engineering Faculty of Engineering Elmergib University Alkhums Libya Control and Energy Management laboratory (CEM lab) Monastir University Tunisia Laboratory of Sciences and Techniques of Automatic Control and Computer Engineering National School of Engineering of Sfax University of Sfax Tunisia Department of Mathematics Faculty of Sciences of Sfax Sfax Tunisia

ISBN: (数字)9798331542726

ISBN: (纸本)9798331542733

In this paper, Fault Tolerant Control (FTC) for fractional-order systems (FOS) has not received as much attention in the literature as it has for standard integer-order systems. This work aims to bridge that gap. We propose a practical approach to fault estimation and fault-tolerant control (FTC) specifically designed for linear (FOS) with sensor failures. Our method leverages fractional exponential stability within the Lyapunov framework and employs the Conformable formulation of fractional derivatives. Notably, the primary contribution of this paper is the first application of the Conformable fractional derivative (CFD) in the context of (FTC). To accurately estimate states and faults, the proposed approach utilizes an observer coupled with a customized adaptation law. To validate our theoretical contributions, we present a detailed simulation of a numerical case study.

关键词： Linear systems Bridges Stability Fault tolerant systems Fault tolerant control Observers Control theory Standards Lyapunov methods

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Signal Prediction of a GPR System Mounted on Drone by Using Ray-Tracing Technique 9

Signal Prediction of a GPR System Mounted on Drone by Using ...

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9th International electrical engineering Congress, iEECON 2021

作者： Phaebua, Kittisak Lertwiriyaprapa, Titipong Boonpoonga, Akkarat Burintramart, Santana Department of Teacher Training in Electrical Engineering Faculty of Technical Education North Bangkok Thailand Department of Electrical and Computer Engineering Faculty of Engineering Bangkok10800 Thailand Magpie Patent and Technology Co. Ltd. Nonthaburi11120 Thailand

ISBN: (纸本)9781728195841

Signal prediction of time-domain (TD) ground-penetrating radar (GPR) installed on drone by employing the ray-tracing technique is proposed. This work employs the TD uniform geometrical theory of diffraction (UTD) method including the geometrical optic (GO) rays tracing technique to find the GPR reflected signal from the ground layer and the underground object. Moreover, the diffracted ray path of a monostatic GPR is also calculated. The fast Fourier transforms (FFT) method is employed to find the TD-GPR signal. Three-dimensional (3D) locations of a drone are taken into account. The calculated results found that the proposed procedure can be used to predict the GPR mounted on a drone signal. The reflected GPR signal of the ground is very strong. The reflected GPR signal of an underground object can be calculated. However, the signal strength is very weak. In future work, the study of the position error of a drone trajectory will be presented. © 2021 IEEE.

关键词： Fast Fourier transforms

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Stochastic Optimization of Coupled Power Distribution-Urban Transportation Network Operations with Autonomous Mobility on Demand Systems

arXiv

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arXiv 2023年

作者： Wang, Han Xu, Xiaoyuan Chen, Yue Yan, Zheng Shahidehpour, Mohammad Li, Jiaqi Xu, Shaolun The School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai200240 China The Department of Mechanical and Automation Engineering The Chinese University of Hong Kong Hong Kong The Electrical and Computer Engineering Department Illinois Institute of Technology Chicago United States

Autonomous mobility on demand systems (AMoDS) will significantly affect the operation of coupled power distribution-urban transportation networks (PTNs) by the optimal dispatch of electric vehicles (EVs). This paper proposes an uncertainty method to analyze the operational states of PTNs with AMoDS. First, a PTN operation framework is designed considering the controllable EVs dispatched by AMoDS as well as the uncontrollable driving behaviors of other vehicle users. Then, a bi-level power-traffic flow (PTF) model is proposed to characterize the interaction of power distribution networks (PDNs) and urban transportation networks (UTNs). In the upper level, a social optimum model is established to minimize the operating cost of PDNs and UTNs embedded with controllable EVs. In the lower level, a stochastic user equilibrium (SUE) model is established to minimize the operating cost of uncontrollable EVs and gasoline vehicles (GVs) in UTNs. Finally, a probabilistic PTF analysis method is developed to evaluate PTN operations under environmental and human uncertainties. A regional sensitivity analysis method is proposed to identify the critical uncertainties and quantify the impacts of their distribution ranges on PTN operations. The effectiveness of the proposed method is verified by the PTN consisting of a 21-bus PDN and a 20-node UTN. © 2023, CC BY-NC-ND.

关键词： Uncertainty analysis

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A New Achievable Region of the K-User MAC Wiretap Channel with Confidential and Open Messages Under Strong Secrecy

arXiv

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arXiv 2024年

作者： Xu, Hao Wong, Kai-Kit Caire, Giuseppe The Department of Electronic and Electrical Engineering University College London LondonWC1E 7JE United Kingdom The Faculty of Electrical Engineering and Computer Science The Technical University of Berlin Berlin10587 Germany

This paper investigates the achievable region of a K-user discrete memoryless (DM) multiple access wiretap (MAC-WT) channel, where each user transmits both secret and open (i.e., non-confidential) messages. All these messages are intended for the legitimate receiver (Bob), while the eavesdropper (Eve) is only interested in the secret messages. In the achievable coding strategy, the confidential information is protected by open messages and also by the introduction of auxiliary messages. When introducing an auxiliary message, one has to ensure that, on one hand, its rate is large enough for protecting the secret message from Eve and, on the other hand, the resulting sum rate (together with the secret and open message rate) does not exceed Bob's decoding capability. This yields an inequality structure involving the rates of all users' secret, open, and auxiliary messages. To obtain the rate region, the auxiliary message rates must be eliminated from the system of inequalities. A direct application of the Fourier-Motzkin elimination procedure is elusive since a) it requires that the number of users K is explicitly given, and b) even for small K = 3, 4, ..., the number of inequalities becomes extremely large. We prove the result for general K through the combined use of Fourier-Motzkin elimination procedure and mathematical induction. This paper adopts the strong secrecy metric, characterized by information leakage. To prove the achievability under this criterion, we analyze the resolvability region of a K-user DM-MAC channel (not necessarily a wiretap channel). In addition, we show that users with zero secrecy rate can play different roles and use different strategies in encoding their messages. These strategies yield non-redundant (i.e., not mutually dominating) rate inequalities. By considering all possible coding strategies, we provide a new achievable region for the considered channel, and show that it strictly improves those already known in the existing literatur

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Adaptive Control for Shunt Active Power Filter under Stochastic Solar Photovoltaics Behavior

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IEEE Journal of Emerging and Selected Topics in Power Electronics 2025年

作者： Prakash, Surya Alkhatib, Mohamed Sindi, Hatem F. Alghamdi, Sultan Behera, Ranjan Kumar Muduli, Utkal Ranjan Nit Jamshedpur Dept. of Electrical Engg Jharkhand Jamshedpur India Uae University Al Ain Dept. of Electrical and Communication Engg Coe Abu Dhabi15551 United Arab Emirates King Abdulaziz University Center of Research Excellence in Renewable Energy and Power Systems Department of Electrical and Computer Engineering Faculty of Engineering Jeddah21589 Saudi Arabia Indian Institute of Technology Patna Dept. of Electrical Engineering Bihta801103 India Khalifa University Apec Dept. of Electrical Engineering and Computer Science Abu Dhabi127788 United Arab Emirates

The paper discusses the challenges in controlling a two-stage photovoltaic (PV)-based shunt active power filter (SAPF) under distorted grid conditions and stochastic PV system behavior. To address this, the paper proposes an adaptive proportional integral (API) regulator to regulate the DC-link voltage, which adapts its parameters based on the DC-link error voltage to provide low bandwidth for disturbance rejection and high bandwidth for dynamic performance enhancement. The paper also proposes an estimation method for the reference current using the sliding discrete Fourier transform and the instantaneous symmetrical component theory, which is suitable for non-ideal grid or load conditions. The accuracy of the proposed reference current estimation method is analyzed using time- and frequency-domain analysis. The performance of the PV-SAPF system with the proposed control algorithms is illustrated through simulation and real-time hardware validation under various grid conditions. Despite distorted grid conditions, the total harmonic distortion of the grid current is substantially within IEEE Std 519-2014. The proposed API regulator and reference current estimation method show promising results in improving the performance of the PV-SAPF system in the presence of internal and external disturbances. © 2013 IEEE.

关键词： Frequency domain analysis

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Topological Signal Processing and Learning: Recent Advances and Future Challenges

arXiv

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arXiv 2024年

作者： Isufi, Elvin Leus, Geert Beferull-Lozano, Baltasar Barbarossa, Sergio Lorenzo, Paolo Di Faculty of Electrical Engineering Mathematics and computer Science Delft University of Technology Delft Netherlands SIGIPRO Department Simula Metropolitan Center for Digital Engineering Oslo Norway Department of Information Engineering Electronics and Telecommunications Sapienza University of Rome Rome Italy

Developing methods to process irregularly structured data is crucial in applications like gene-regulatory, brain, power, and socioeconomic networks. Graphs have been the go-to algebraic tool for modeling the structure via nodes and edges capturing their interactions, leading to the establishment of the fields of graph signal processing (GSP) and graph machine learning (GML). Key graph-aware methods include Fourier transform, filtering, sampling, as well as topology identification and spatiotemporal processing. Although versatile, graphs can model only pairwise dependencies in the data. To this end, topological structures such as simplicial and cell complexes have emerged as algebraic representations for more intricate structure modeling in data-driven systems, fueling the rapid development of novel topological-based processing and learning methods. This paper first presents the core principles of topological signal processing through the Hodge theory, a framework instrumental in propelling the field forward thanks to principled connections with GSP-GML. It then outlines advances in topological signal representation, filtering, and sampling, as well as inferring topological structures from data, processing spatiotemporal topological signals, and connections with topological machine learning. The impact of topological signal processing and learning is finally highlighted in applications dealing with flow data over networks, geometric processing, statistical ranking, biology, and semantic communication. © 2024, CC BY.

关键词： Network theory (graphs)

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Implementation of ML Algorithms for the Purpose of Quality Improvement of Power

Implementation of ML Algorithms for the Purpose of Quality I...

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International Conference on Power Energy, Environment and Intelligent Control (PEEIC)

作者： Raghu N Mansingh Meena Kumud Saxena Department of Electrical and Elceltronics Engineeirng Faculty of Engineering and Technology JAIN (Deemed to be University) Bangalore India Department of Electrical Engineering Vivekananda Global University Jaipur India Department of Computer Science and Engineering Noida Institute of Engineering & Technology Greater Noida Uttar Pradesh India

In our fast industrializing world, the need for more reliable and high-quality power production is highlighted by the growing need for electrical energy and the drive toward automation. In an effort to fulfill the growing need for electrical power, sources of renewable electricity (RE) have surfaced as an eco-friendly substitute for traditional energy sources. However, because of their intrinsically erratic and fluctuating production patterns, integrating these sources of renewable energy into the utility grid poses difficulties for sustaining the quality of electricity (PQ) and system stability. Mitigating PQ difficulties related to the adoption of renewable energy has been made possible by the integration of a distributed flexibly AC transfer system gadgets such as distribute static compensator (DSTATCOM) as dynamic voltage restorer (DVR). The control algorithms that dictate the functioning of those DFACTS devices are substantially responsible for their effectiveness. This exploration leads an extensive examination of the ordinary and adjust control methods utilized in DFACTS frameworks to address power quality issues in utility organizations where sustainable power is being incorporated. The exhaustive assessment incorporates an assessment of in excess of 170 examination papers and offers a cautious classification and outline of the different control techniques. The survey investigates these calculations' plan, trying equipment, signs of execution, and reasonability as archived in the group of surviving exploration. This collection is an invaluable tool that provides engineers and scholars working in the dynamic subject of improving power quality in utility networks amid the increasing impact of renewable energy sources with a rapid reference.

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