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2023 International Conference on Clean Electrical Power, ICCEP 2023

作者： Petrov, Almaz Radikovich Ivanovna Gracheva, Elena Sinyukova, Tatiana Valtchev, Stanimir Miceli, Rosario Rahman, Aqeel Ur Kazan State Power Engineering University Departm. of Power Supply of Industrial Enterprises Kazan Russia Lipetsk State Technical University Automation and Computer Science Faculty Lipetsk Russia Cts University Nova Faculty Fct and Uninova Lisbon Portugal University of Palermo Department of Engineering Italy

ISBN: (纸本)9798350348378

The article discusses the main features of mechanical, chemical, thermal, and electrical processes occurring in the contact zones of the surfaces of contact connections of electrical devices. The parameters determining the value of power losses and power consumption in low voltage switching equipment are analyzed. The main features of the characteristics of the topology and technical condition in the operating conditions of the equipment of shop low-voltage industrial power supply networks are shown. A comparative analysis of the technical characteristics of automatic circuit breakers. Using catalog data, the dependences of active power losses in circuit breakers on rated currents are established. Algorithms have been developed and the obtained dependencies have been modeled using approximating functions. The standard deviation of the compiled approximating functions is calculated. Analytical expressions of the dynamics of power losses per pole in the studied machines of some companies of the function of the rated current are presented. The graphical dependencies of the investigated parameters of low-voltage equipment are presented. The developed models are recommended to be used to increase the reliability of the assessment and refinement of the amount of active power and electricity losses in low-voltage electrical networks of industrial power supply systems. © 2023 IEEE.

关键词： Electric circuit breakers

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Distributed Control for a Microgrid Cluster: Implementation and Experimental Validation

Distributed Control for a Microgrid Cluster: Implementation ...

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International Conference on Environment and Electrical engineering (EEEIC)

作者： David Carrasco-González Raúl Sarrias-Mena Pablo Horrillo-Quintero Ehsan Hosseini Francisco Llorens-Iborra Luis M. Fernández-Ramírez SURET Research Group Department of Electrical Engineering University of Cadiz Algeciras Spain SURET Research Group Department of Engineering in Automation Electronics and Computer Architecture and Networks University of Cadiz Algeciras Spain

ISBN: (数字)9798350355185

ISBN: (纸本)9798350355192

In response to growing energy demands and concerns about climate change, microgrid clusters (MGCs) are gaining widespread attention. Their ability to integrate technologies for energy consumption, generation, and storage in AC, DC or a compound of both offer a high degree of flexibility and resiliency. This research introduces a new control strategy for an MGC composed of two MGs interconnected to a local grid via a point of common coupling. The first one is a DC MG comprising an ultracapacitor (UC), wind turbine (WT), DC loads and hydrogen system. The second is an AC MG with a battery bank, AC loads and photovoltaic (PV) generator. The control strategy employs local controllers for each device and distributed control via two control agents, coordinating the power distribution among the energy storage systems (ESSs) of the MGC. This system is tested and validated on a real-time experimental setup, using two Raspberry Pi microcontrollers and an OPAL-RT unit, under different working conditions. The results obtained in this work show that the control strategy implemented in the MGC works correctly.

关键词： Energy consumption Microcontrollers Wind speed Decentralized control Hydrogen Microgrids Supercapacitors Real-time systems Wind turbines Solar radiation

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Predicting Ground State Properties: Constant Sample Complexity and Deep Learning Algorithms

arXiv

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arXiv 2024年

作者： Wanner, Marc Lewis, Laura Bhattacharyya, Chiranjib Dubhashi, Devdatt Gheorghiu, Alexandru Department of Computer Science and Engineering Chalmers University of Technology University of Gothenburg Gothenburg Sweden Department of Applied Mathematics and Theoretical Physics University of Cambridge Cambridge United Kingdom Department of Computer Science and Automation Indian Institute of Science Bangalore India Department of Computer Science and Engineering Chalmers University of Technology Gothenburg Sweden

A fundamental problem in quantum many-body physics is that of finding ground states of local Hamiltonians. A number of recent works gave provably efficient machine learning (ML) algorithms for learning ground states. Specifically, Huang et al. in [1], introduced an approach for learning properties of the ground state of an n-qubit gapped local Hamiltonian H from only nO(1) data points sampled from Hamiltonians in the same phase of matter. This was subsequently improved by Lewis et al. in [2], to O(log n) samples when the geometry of the n-qubit system is known. In this work, we introduce two approaches that achieve a constant sample complexity, independent of system size n, for learning ground state properties. Our first algorithm consists of a simple modification of the ML model used by Lewis et al. and applies to a property of interest known in advance. Our second algorithm, which applies even if a description of the property is not known, is a deep neural network model. While empirical results showing the performance of neural networks have been demonstrated, to our knowledge, this is the first rigorous sample complexity bound on a neural network model for predicting ground state properties. We also perform numerical experiments on systems of up to 45 qubits that confirm the improved scaling of our approach compared to [1, 2]. © 2024, CC BY.

关键词： Qubits

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Constrained Residual Race: An Efficient Hybrid Controller for Autonomous Racing

Constrained Residual Race: An Efficient Hybrid Controller fo...

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Chinese automation Congress (CAC)

作者： Mengmeng Zou Yiwen Lu Hanxiao Liu Yilin Mo Xiaoqiang Ren School of Computer Engineering and Science School of Institute of Artificial Intelligence School of Mechatronic Engineering and Automation Shanghai University Shanghai China Department of Automation and BNRist Tsinghua University Beijing China

Deep reinforcement learning (DRL) has shown promise in solving the autonomous racing problem without requiring an accurate dynamics model, but random sampling of actions can lead to inefficient exploration. This paper proposes an efficient racing method, Constrained Residual Race (CRR), which combines a geometry-based reactive obstacle avoidance algorithm, Follow-The-Gap Method (FTG), with DRL. CRR generates safe guided actions with FTG and complementary actions with DRL, which are then fused into a final control action through a constraint equation. Using FTG as a prior controller enhances exploration efficiency and produces safe driving actions. Constraining the DRL policy output ensures that it does not overwrite the prior policy during early stages of exploration. Additionally, the DRL policy improves over the performance of the prior controller during training, reducing the lap time of the car. Validation on the F1TENTH simulator shows that CRR achieves lower lap times in most cases and exhibits excellent generalization capability.

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Daily Solar Radiation Prediction Using LSTM Neural Networks

Daily Solar Radiation Prediction Using LSTM Neural Networks

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2022 IEEE Global Energy Conference, GEC 2022

作者： Gider, Veysel Budak, Cafer Izci, Davut Ekinci, Serdar Rectorate Batman University Distance Education Application and Research Center Batman Turkey Dicle University Department of Electric-Electronic Engineering Diyarbakir Turkey Batman University Department of Electronics and Automation Batman Turkey Batman University Department of Computer Engineering Batman Turkey

ISBN: (数字)9781665497510

ISBN: (纸本)9781665497510

The integration of solar energy with the smart grids and existing infrastructure makes it a cost-effective and environmentally-friendly solution to address the growing energy need. To make use of the potential of solar energy, several challenges such as the stability of generated energy and the supply-demand imbalance must be overcome. In this regard, an accurate forecast model for global solar radiation (GSR) can be useful for power generation planning and system reliability. The GSR estimate is regarded as the most significant and critical element in defining solar system characteristics, thus, it is crucial in predicting the generated energy. This work, therefore, employs long-short-term memory (LSTM) as a deep learning method to successfully estimate solar irradiance and capture the stochastic fluctuations. In this respect, the measurement data (from year 2021) obtained from the station installed in Dicle University (Turkey), Science and Technology Application and Research Centre (DUBTAM) were used, and the efficiency of the proposed method was evaluated. © 2022 IEEE.

关键词： Solar energy

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Prediction and Analysis of Power Consumption and Power Loss at Industrial Facilities

Prediction and Analysis of Power Consumption and Power Loss ...

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2023 International Conference on Clean Electrical Power, ICCEP 2023

作者： Gracheva, Elena Ivanovna Eduard Elsovich, Ibatullin Sinyukova, Tatiana Valtchev, Stanimir Miceli, Rosario Campagna, Nicola Kazan State Power Engineering University Departm. of Power Supply of Industrial Enterprises Kazan Russia Lipetsk State Technical University Automation and Computer Science Faculty Lipetsk Russia University Nova of Lisbon Faculty Fct and Uninova -CTS Portugal University of Palermo Department of Engineering Italy

ISBN: (纸本)9798350348378

In this article, a study of radial and trunk circuits of networks was carried out and power losses were determined using the proposed coefficients. Equivalent resistances of the investigated circuits were calculated considering the changes in circuit and mode parameters. Results of calculations are presented, considering equipment layout and technical parameters. © 2023 IEEE.

关键词： Equivalent circuits

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Discounted Iterative Adaptive Critic Designs With Novel Stability Analysis for Tracking Control

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IEEE/CAA Journal of Automatica Sinica 2022年第7期9卷 1262-1272页

作者： Mingming Ha Ding Wang Derong Liu School of Automation and Electrical Engineering University of Science and Technology BeijingBeijing 100083China Faculty of Information Technology the Beijing Key Laboratory of Computational Intelligence and Intelligent Systemthe Beijing Laboratory of Smart Environmental Protectionand the Beijing Institute of Artificial IntelligenceBeijing University of TechnologyBeijing 100124China Department of Electrical and Computer Engineering University of Illinois at ChicagoChicago IL 60607 USA IEEE

The core task of tracking control is to make the controlled plant track a desired *** traditional performance index used in previous studies cannot eliminate completely the tracking error as the number of time steps *** this paper,a new cost function is introduced to develop the value-iteration-based adaptive critic framework to solve the tracking control *** the regulator problem,the iterative value function of tracking control problem cannot be regarded as a Lyapunov function.A novel stability analysis method is developed to guarantee that the tracking error converges to *** discounted iterative scheme under the new cost function for the special case of linear systems is ***,the tracking performance of the present scheme is demonstrated by numerical results and compared with those of the traditional approaches.

关键词： Adaptive critic design adaptive dynamic programming(ADP) approximate dynamic programming discrete-time nonlinear systems reinforcement learning stability analysis tracking control value iteration(VI)

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Modeling replicator dynamics in stochastic games using Markov chain method 20

Modeling replicator dynamics in stochastic games using Marko...

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20th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2021

作者： Deng, Chuang Rong, Zhihai Wang, Lin Wang, Xiaofan Department of Automation Shanghai Jiao Tong University School of Computer Science and Engineering University of Electronic Science and Technology of China School of Mechatronic Engineering and Automation Shanghai University

ISBN: (纸本)9781713832621

In stochastic games, individuals need to make decisions in multiple states and transitions between states influence the dynamics of strategies significantly. In this work, by describing the dynamic process in stochastic game as a Markov chain and utilizing the transition matrix, we introduce a new method, named state-transition replicator dynamics, to obtain the replicator dynamics of a stochastic game. Based on our proposed model, we can gain qualitative and detailed insights into the influence of transition probabilities on the dynamics of strategies. We illustrate that a set of unbalanced transition probabilities can help players to overcome the social dilemmas and lead to mutual cooperation in a cooperation back state, even if the stochastic game has the same social dilemmas in each state. Moreover, we also present that a set of specifically designed transition probabilities can fix the expected payoffs of one player and make him lose the motivation to update his strategies in the stochastic game. © 2021 International Foundation for Autonomous Agents and Multiagent Systems (***). All rights reserved.

关键词： Dynamics

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Back-Pressure traffic Signal Control in the Presence of Noisy Queue Information *

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IFAC-PapersOnLine 2023年第2期56卷 10491-10496页

作者： Themistoklis Charalambous Muwahida Liaquat Balázs Kulcsár Henk Wymeersch Department of Electrical and Computer Engineering School of Engineering University of Cyprus Nicosia Cyprus Department of Electrical Engineering and Automation School of Electrical Engineering Aalto University Finland Department of Electrical Engineering College of E&ME National University of Sciences and Technology Pakistan Department of Electrical Engineering at Chalmers University of Technology Sweden

In this paper, we consider centralized traffic signal control policies using the max-weight algorithm when the queue size measurement is noisy. We first show analytically that the standard max-weight algorithm is throughput optimal even under noisy queue measurements. However, the average steady-state queue lengths and subsequently the average delays are increased. In order to alleviate the effect of these noisy measurements we add filtering to the max-weight algorithm; more specifically, we propose the Filtered-max-weight algorithm, which is based on particle filtering. We demonstrate via simulations that the Filtered-max-weight algorithm performs better than the standard max-weight algorithm in the presence of noisy measurements.

关键词： traffic signal control back-pressure noisy queue backlog information throughput region transportation systems particle filtering

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Flexible Force-sensitive Sealed Packet with Single Fluidic Chamber

Flexible Force-sensitive Sealed Packet with Single Fluidic C...

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International Conference on Micro/Nano Sensors for AI, Healthcare, and Robotics (NSENS)

作者： Mark Lester F. Padilla Zhipeng Dong Fei Chen Department of Mechanical and Automation Engineering T-Stone Robotics Institute The Chinese University of Hong Kong Hong Kong Department of Electronics and Computer Engineering De La Salle University Manila Philippines

ISBN: (数字)9798350375213

ISBN: (纸本)9798350375220

Tactile sensor developments have been seen in the past years. The flexible and soft type of these sensors became popular due to their capability to ensure safe physical interactions with humans. This paper presents a flexible force-sensitive sealed packet that can detect normal force acting on its surface. Our sensor used poly(3,4 ethylenedioxythiophene):poly(styrene sulfonate) or PEDOT:PSS and liquid binder to form a conductive liquid mixture and put it inside the sealed packet of thin plastic. One notable difference between our proposed sensor and other PEDOT:PSS-based sensors is that ours is low-cost and easy to fabricate. For our data acquisition setup, we used a voltage divider circuit with a 68k ohm resistor connected to an analog pin of an Arduino Uno. We also used the DAYSENSOR’s DYZ-101 5-kg load cell to determine the amount of force applied, which served as our ground truth. The changes in resistance were compared against the force applied. Linear regression analysis was done to show the correlation between the two quantities, and its slope corresponds to the sensor’s sensitivity. We performed a repeatability analysis of the proposed sensor, although some challenges were observed since manual pressing was done. We also tested the change in sensitivity once a different material, such as cardboard, foam, and copper tape, is placed between the load cell and our proposed sensor. Our results showed that we can achieve higher sensitivity and better linearity using foam. For future works, we plan to extend this study to skin-like wearable devices and tactile sensing.

关键词： Resistors Resistance Sensitivity Liquids Force Tactile sensors Voltage

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