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RTLAB-Based Performance Validation of PV- Powered Single-Phase Asynchronous Motor Pumps

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RTLAB-Based Performance Validation of PV- Powered Single-Pha...

International Conference on Advanced Electrical engineering (ICAEE)

作者： Fezazi Omar Abdelkader Semmak Hasan Köten Mohammed Abd El Djalil Djehaf Ayad Ahmed Nour El Islam Biswadip Basu Mallik ICEPS Laboratory (Intelligent Control & Electrical Power Systems) Djillali Liabes University Sidi Bel-Abbes Algeria Department of Automatic Control Faculty of Electrical Engineering Djillali Liabes University Sidi Bel-Abbes Algeria Mechanical Engineering Department Mechanical Engineering Department Engineering Faculty Istanbul Medeniyet University North Campus Uskudar Istanbul TURKEY Kasdi merbah university Ouargla Algeria Department of Basic Science and Humanities Institute of Engineering & Management University of Engineering & Management Kolkata West Bengal India

ISBN: (数字)9798350349351

ISBN: (纸本)9798350349368

In this paper, a comprehensive investigation of the performance evaluation and validation of a single-phase asynchronous motor pump system coupled with a photovoltaic (PV) power source is presented. The purpose of this study was to evaluate the practicality and effectiveness of this configuration for pumping applications. The RTLAB platform, which enables real-time simulation and emulation of dynamic systems, includes important components, such as the use of a single-phase asynchronous motor as the pump's power source, the incorporation of a PV system to supply renewable energy, and the use of RTLAB for real-time validation. Through rigorous simulation and experimentation, the motor response performance, such as speed, torque, and current response, was analyzed under varying solar irradiance and load conditions. In addition, the PV power and DC bus voltage were supervised after motor driving. This research fills the knowledge gap between the theoretical analysis and real-world applications of single-phase asynchronous motor pump systems combined with PV sources. This approach, which validates the results using RTLAB, provides a validation method to evaluate the performance and guide design choices for effective and environmentally friendly pumping solutions. Keywords- Single-phase asynchronous motors, PV, RTLAB validation, SimPower System MATLAB.

关键词： Maximum power point trackers Solar irradiance Renewable energy sources Radiation effects Torque systems operation Motors Real-time systems Stability analysis Robustness

Multi-Target Tracking Using a Swarm of UAVs by Q-learning Algorithm

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Multi-Target Tracking Using a Swarm of UAVs by Q-learning Al...

Sensor Signal Processing for Defence (SSPD)

作者： Seyed Ahmad Soleymani Shidrokh Goudarzi Xingchi Liu Lyudmila Mihaylova Wenwu Wang Pei Xiao Centre for Vision Speech and Signal Processing (CVSSP) The University of Surrey UK School of Computing and Engineering University of West London UK Department of Automatic Control and Systems Engineering The University of Sheffield UK Institute for Communication Systems (5GIC) The University of Surrey UK

This paper proposes a scheme for multiple un-manned aerial vehicles (UAVs) to track multiple targets in challenging 3-D environments while avoiding obstacle collisions. The scheme relies on Received-Signal-Strength-Indicator (RSSI) measurements to estimate and track target positions and uses a Q-Learning (QL) algorithm to enhance the intelligence of UAVs for autonomous navigation and obstacle avoidance. Considering the limitation of UAVs in their power and computing capacity, a global reward function is used to determine the optimal actions for the joint control of energy consumption, computation time, and tracking accuracy. Extensive simulations demonstrate the effectiveness of the proposed scheme, achieving accurate and efficient target tracking with low energy consumption.

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PatiCare: Patient Health Care Monitoring System 10

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PatiCare: Patient Health Care Monitoring System

10th Mediterranean Conference on Embedded Computing, MECO 2021

作者： Das, Nimai Chandra Skakun, Anastasiia D. Zim, Ziaul Haque Rafi, Mehdi Hasan Akif, Ahanaf Thamid Saint Petersburg Electrotechnical University 'Leti' Department of Automatic Control Systems Saint Petersburg Russia Daffodil International University Department of Computer Science and Engineering Dhaka Bangladesh Daffodil International University Department of Electrical and Electronics Engineering Dhaka Bangladesh

ISBN: (纸本)9780738133614

In the medical system, it is crucial to hold patient past health records to give the correct treatment to the patient and ensure the medical practitioner's physical health safety. The 'PatiCare' patient healthcare monitoring system is a promising alternative to the conventional method of checking the human body and checking the patient health record. Despite the ongoing investigation, an outbreak of a pan-demic disease called COVID-19 it creates a situation involving exposure to a danger to medical practitioners. In this paper, we implement a Patient Care Monitoring system called PatiCare to reduce viral diseases affection risk. We use IoT and WEB service for communication with users or patients and take his past health record and a doctor can check remotely to his patient. Our implemented prototype gathers biomedical and orientation information through sensors and re-serves it in a WEB Server. A doctor or a medical practitioner is able to assign medicine remotely and monitor patient instant health. © 2021 IEEE.

关键词： Internet of things

A Novel Approach to Climate Resilience of Infrastructure Networks

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arXiv 2022年

作者： Li, Qianqian Punzo, Giuliano Robson, Craig Arbabi, Hadi Mayfield, Martin Department of Civil and Structural Engineering The University of Sheffield United Kingdom Department of Automatic Control and Systems Engineering The University of Sheffield United Kingdom School of Engineering Newcastle University United Kingdom

With a changing climate, the frequency and intensity of extreme weather events are likely to increase, posing a threat to infrastructure systems’ resilience. The response of infrastructure systems to localised failures depends on whether assets are affected randomly, in a targeted strategic way, or any way in between. More than that, infrastructure decisions today, including new routes or improvements to existing assets, will underpin the behaviour of the systems over the next century. It is important to separate and analyse the case of climate-based disruptions and how they affect systems’ resilience. This paper presents a probabilistic resilience assessment framework where failure scenarios and network disruptions are generated using weather profile data from climate prediction models with component-level fragility functions. A case study is then carried out to quantify the resilience of Great Britain’s railway passenger transport system to high-temperature-related track buckling under the Representative Concentration Pathway 8.5 (RCP8.5) climate change scenario. A 95-year horizon on the resilience of the railway system is drawn. The results also reveal the non-linear responses of the railway system to the increasing temperature and show that models considering random asset failures overestimate the system’s resilience. Copyright © 2022, The Authors. All rights reserved.

关键词： Climate models

Robust co-design framework for buildings operated by predictive control

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arXiv 2024年

作者： Falugi, P. O’Dwyer, E. Zagorowska, M.A. Kerrigan, E.C. Nie, Y. Strbac, G. Shah, N. Engineering and Construction Department University of East London London United Kingdom Department of Chemical Engineering Imperial College London London United Kingdom Mechanical Engineering Department Delft University of Technology Delft Netherlands Department of Aeronautics Imperial College London London United Kingdom Department of Electrical and Electronic Engineering Imperial College London London United Kingdom Department of Automatic Control and Systems Engineering University of Sheffield United Kingdom

Cost-effective decarbonisation of the built environment is a stepping stone to achieving net-zero carbon emissions since buildings are globally responsible for more than a quarter of global energy-related CO2 emissions. Improving energy utilization and decreasing costs naturally requires considering multiple domain-specific performance criteria. The resulting problem is often computationally infeasible. The paper proposes an approach based on decomposition and selection of significant operating conditions to achieve a formulation with reduced computational complexity. We present a robust framework to optimise the physical design, the controller, and the operation of residential buildings in an integrated fashion, considering external weather conditions and time-varying electricity prices. The framework explicitly includes operational constraints and increases the utilization of the energy generated by intermittent resources. A case study illustrates the potential of co-design in enhancing the reliability, flexibility and self-sufficiency of a system operating under different conditions. Specifically, numerical results demonstrate reductions in costs up to 30% compared to a deterministic formulation. Furthermore, the proposed approach achieves a computational time reduction at least 10 times lower compared to the original problem with a deterioration in the performance of only 0.6%. © 2024, CC BY.

关键词： Zero-carbon

Modified projected Gauss-Newton method for constrained nonlinear least-squares: application to power flow analysis

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Modified projected Gauss-Newton method for constrained nonli...

European control Conference (ECC)

作者： Yassine Nabou Lucian Toma Ion Necoara Automatic Control and Systems Engineering Department University Politehnica Bucharest Bucharest Romania Electrical Power Systems Department University Politehnica Bucharest Bucharest Romania Gheorghe Mihoc-Caius Iacob Institute of Mathematical Statistics and Applied Mathematics of the Romanian Academy Bucharest Romania

In this paper, we consider a modified projected Gauss-Newton method for solving constrained nonlinear least-squares problems. We assume that the functional constraints are smooth and the the other constraints are represented by a simple closed convex set. We formulate the nonlinear least-squares problem as an optimization problem using the Euclidean norm as a merit function. In our method, at each iteration we linearize the functional constraints inside the merit function at the current point and add a quadratic regularization, yielding a strongly convex subproblem that is easy to solve, whose solution is the next iterate. We present global convergence guarantees for the proposed method under mild assumptions. In particular, we prove stationary point convergence guarantees and under Kurdyka-Lojasiewicz (KL) property for the objective function we derive convergence rates depending on the KL parameter. Finally, we show the efficiency of this method on the power flow analysis problem using several IEEE bus test cases.

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Dynamic Programming Through the Lens of Semismooth Newton-Type Methods (Extended Version)

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arXiv 2022年

作者： Gargiani, Matilde Zanelli, Andrea Liao-McPherson, Dominic Summers, Tyler Lygeros, John The Automatic Control Laboratory ETH Zurich Switzerland The Institute for Dynamic Systems and Control ETH Zurich Switzerland The Department of Mechanical Engineering The University of Texas Dallas United States

Policy iteration and value iteration are at the core of many (approximate) dynamic programming methods. For Markov Decision Processes with finite state and action spaces, we show that they are instances of semismooth Newton-type methods to solve the Bellman equation. In particular, we prove that policy iteration is equivalent to the exact semismooth Newton method and enjoys local quadratic convergence rate. This finding is corroborated by extensive numerical evidence in the fields of control and operations research, which confirms that policy iteration generally requires few iterations to achieve convergence even in presence of a large number of admissible policies. We then show that value iteration is an instance of the fixed-point iteration method. In this spirit, we develop a novel locally accelerated version of value iteration with global convergence guarantees and negligible extra computational costs. Copyright © 2022, The Authors. All rights reserved.

关键词： Dynamic programming

Complexity of linearized augmented Lagrangian for optimization with nonlinear equality constraints

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arXiv 2023年

作者： El Bourkhissi, Lahcen Necoara, Ion Department of Automatic Control and Systems Engineering University Politehnica Bucharest Bucharest060042 Romania Gheorghe Mihoc-Caius Iacob Institute of Mathematical Statistics and Applied Mathematics of the Romanian Academy Bucharest050711 Romania

In this paper, we consider a nonconvex optimization problem with nonlinear equality constraints. We assume that both, the objective function and the functional constraints are locally smooth. For solving this problem, we propose a linearized augmented Lagrangian method, i.e., we linearize the functional constraints in the augmented Lagrangian at the current iterate and add a quadratic regularization, yielding a subproblem that is easy to solve, and whose solution is the next iterate. Under a dynamic regularization parameter choice, we prove global asymptotic convergence of the iterates to a critical point of the problem. We also derive convergence guarantees for the iterates of our method to an Ε first-order optimal solution in O(1/Ε2) outer iterations. Finally, we show that, when the problem data are e.g., semialgebraic, the sequence generated by our algorithm converges and we derive convergence rates. We validate the theory and the performance of the proposed algorithm by numerically comparing it with the existing methods from the literature. © 2023, CC BY.

关键词： Linearization

A Coalitional Game for Demand-Side Management in a Low-Voltage Resistive Micro-Grid with Multiple Electricity Retailers

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arXiv 2024年

作者： Mendoza, Fernando Genis Baldivieso-Monasterios, Pablo R. Bauso, Dario Konstantopoulos, George The Department of Automatic Control and Systems Engineering The University of Sheffield Mappin Street SheffieldS1 3JD United Kingdom The Department of Electrical and Computer Engineering University of Patras Rion26500 Greece The Jan C. Willems Center for Systems and Control ENTEG Fac. Science and Engineering University of Groningen Nijenborgh 4 Groningen9747 AG Netherlands The Netherlands and Dipartimento di Ingegneria Università di Palermo viale delle Scienze Palermo Italy

An existing challenge in power systems is the implementation of optimal demand management through dynamic pricing. This paper encompasses the design, analysis and implementation of a novel on-line pricing scheme based on coalitional game theory. The setting consists of a network with multiple energy retailers competing to attract consumers by announcing a price in a hierarchical leader-follower structure. The process of coalition formation under such a pricing scheme can be viewed as a game for which we show that a Stackelberg equilibrium exists, i.e., given a price, consumers will respond by conforming to a reciprocal power consumption quantity. We propose a coalition formation algorithm and perform a game-theoretic stability analysis on the resulting coalitions. We integrate the pricing setting with a resistive micro-grid dynamic model. In this context we analyse the behaviour of the integrated system, bridging the gap between market and physical layers of the problem. Simulations provide a comparison of profits generated by the proposed scheme against a more traditional single retailer scheme, while simultaneously showing convergence towards a steady-state equilibrium. Additionally, we shed light into the system's physical response when subject to our proposed pricing scheme. © 2024, CC BY.

关键词： Costs