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Mitigating Voltage Sag in Power systems with Proportional Integral control using Tangent Search Algorithm and Multi-Fidelity Bayesian Neural Network 8

Mitigating Voltage Sag in Power Systems with Proportional In...

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8th international conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2024

作者： Meena, Radhey Shyam Singh, Harsimran Vasudevan, K. Ekambaram, Saranya Katiyar, Atul Kaliappan, S. Indian Institute of Technology Industry Coordinator Odl Uttar Pradesh Kanpur208016 India Guru Kashi University Department of Electrical Engineering Punjab Bathinda151302 India Parul University Department of Electrical Engineering Gujarat Vadodara391760 India Sri Eshwar College of Engineering Department of Computer Science and Business Systems Tamil Nadu Coimbatore641202 India Mjp Rohilkhand University Bareilly Faculty of Engineering and Technology Department of Electrical Engineering Uttar Pradesh 243006 India Lovely Professional University Division of Research and Development Delhi Jalandhar144411 India

ISBN: (纸本)9798350376425

Mitigation strategies for voltage sag in power systems using dynamic voltage restorers (DVRs) involve compensating for voltage dips by injecting the required voltage to maintain stability. However, DVRs present problems such as high initial costs in installation and subsequent costs in maintenance and replacement;it only corrects voltage sag within its capability to handle severe or long periods of voltage sags. Moreover, DVRs may need complex control algorithms and most accurate tuning for optimal performance under various grid conditions. To overcome these drawbacks, this manuscript proposes a hybrid approach for voltage sag mitigation in power systems with Proportional Integral (PI) controller. The proposed method is the combined execution of both Tangent Search Algorithm (TSA) and Multi-fidelity Bayesian Neural Network (MFBNN). Hence, it is named as hybrid TSA-MFBNN approach. The major aim is to minimize the impact of voltage sags on sensitive equipment and maintain consistent power quality across the network and reduce the integral squared error (ISE) and Total Harmonic Distortion (THD) of the system. The PI controller's gain parameters are optimized by the proposed TSA, and its optimum values are predicted by the MFBNN. By then, the proposed technique is executed in MATLAB and compared with different existing approaches. The proposed method outperforms all existing approaches such as Artificial Neural Network (ANN), Salp Swarm Algorithm (SSA), and Adaptive-Network Fuzzy Inference System (ANFIS). The proposed technique demonstrates a THD of 2.38% and an ISE of 0.00410, indicating superior performance in reducing harmonic distortions and minimizing error. © 2024 IEEE.

关键词： Harmonic distortion

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Adaptive Sampling Offspring Generation Strategy for Multi-objective Optimization 8

Adaptive Sampling Offspring Generation Strategy for Multi-ob...

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2024 8th international conference on Machine Vision and Information Technology, CMVIT 2024

作者： Wang, Ningning Fan, Jun Liu, Tingrui Kang, Honglong Zhang, Wenbo Song, Shenmin Center for Control Theory and Guidance Technology Harbin Institute of Technology Harbin China Army Aviation Institute Beijing China Beijing Institute of Astronautical Systems Engineering Beijing China

A covariance adaptive sampling offspring generation strategy (CASS) based on fuzzy clustering is proposed, and a multi-objective distribution estimation algorithm (MEDCA) based on this strategy is introduced. The GK-FCM clustering partitioning strategy is designed to build a Gaussian model for each individual, collectively approximating the manifold of the Pareto solution set and generating offspring through sampling. The introduction of an individual's survival generation adapts the individual's preference for exploration and exploitation. This is achieved by incorporating it as a scaling factor of the covariance matrix in the sampling model, in order to satisfy the individual's preferences for development and exploration in different evolutionary stages. This method significantly improves the performance of MEDCA in solving complex multi-objective optimization problems through covariance matrix adaptation sampling strategy and scaling factor adaptation strategy. The experimental results demonstrate the advantages of MEDCA in the application of offspring generation strategies during model sampling. © Published under licence by IOP Publishing Ltd.

关键词： Covariance matrix

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Application of Geometric Invariants in the Problem of Trajectory Tracking for UAVs

Application of Geometric Invariants in the Problem of Trajec...

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2022 international Siberian conference on control and Communications, SIBCON 2022

作者： Khachumov, Mikhail Ailamazyan Program Systems Institute of RAS Intelligent Control Laboratory Pereslavl-Zalessky Russia Federal Research Center 'Computer Science and Control' Russian Academy of Sciences Moscow Russia

ISBN: (纸本)9781665476287

The study discusses approaches and an apply example of using geometric invariants in problems of control theory. An analytical review of modern papers in the field of trajectory tracking and path following control problems for unmanned aerial vehicles (UAVs) has been carried out. To increase the autonomy and ability to cope with uncertainties, it is proposed to use the theory of intelligent-geometric control. The problem of the trajectory tracking is considered in the framework of the pursuit-evasion differential game. control invariants are considered in the form of ellipsoids, that can be used, for example, in pursuit-evasion problems. The task of determining the parameters of the pursuer's motion to meet the evader on an ellipsoid is solved. The dependence of the pursuer's speed on the parameters of the ellipse is shown. A modeling scheme is proposed aimed at joint application of optimal and intelligent control methods to solve trajectory tracking problem in difficult conditions. Simulations carried out in a disturbed environment on controlling the motion of a UAV group showed prospects of the proposed approach. © 2022 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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Centralized Parallel Computing as a Cloud Service for Solving Digital Transformation problems in Smart Cities

Centralized Parallel Computing as a Cloud Service for Solvin...

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2023 IEEE international conference on Communications, Information, Electronic and Energy systems, CIEES 2023

作者： Iliev, Iliyan Blagoev, Ivan Institute of Information and Communication Technologies - Bulgarian Academy of Science Information Technologies for Security Department Sofia Bulgaria Institute of Information and Communication Technologies - Bulgarian Academy of Science Modeling and Optimization Department Sofia Bulgaria

ISBN: (纸本)9798350336917

The digital processing of geospatial data could be a significant challenge especially in automated performing of different kinds of analysis. The current computer file formats and standards for such data are oriented to expert works in specific areas, which predetermines a traditional way of working with the use of different software tools running on local PCs. Each expert or expert group is focused on specific problem solving, performing an analysis and applying the result, where the last one is required. It is quite natural at first, that a lot of state administrations, municipalities and research institutes are interested in geospatial data and GIS services, because a number of regulations and legislation forces digital transformation. In addition, the business interest in accessing and working with geospatial data is increasing in order to provide innovative products to the customers. The main aim of this paper is to illustrate a sustainable model of digital transformation by analyzing geospatial data, which combines enterprise and scientific approach to build a complex architecture, including high-performance and secure API services, signaling mechanisms and service for parallel computation, which performs given analysis with the use of GPU hardware. © 2023 IEEE.

关键词： Graphics processing unit

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Three-dimensional Forward modeling of Semi-airborne Frequency-domain tipper Sounding Method with complex Arbitrary-source Geometry 10

Three-dimensional Forward Modeling of Semi-airborne Frequenc...

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10th international conference on Environmental and Engineering Geophysics, ICEEG 2023

作者： Feng, Min Deng, Juzhi Chen, Hui Yin, Min Yu, Hui Su, Kejia School of Geophysics and Measurement-control Technology East China University of Technology Jiangxi Nanchang China Research Institute No.270 CNNC Jiangxi Nanchang China

In this study, we propose a three-dimensional forward modeling algorithm for the Semi-airborne frequency-domain tipper sounding method (SAFTSM) based on the finite volume method to analyze the characteristics of SAFTSM responses with complex arbitary source geometry. We the used QMR algorithm preconditioned by the Jacobi method to solve the coupled symmetric equations of magnetic vector potential A and scalar potential f under the Lorenz criterion. In these numerical experiments, we used grounded wire as a transmitting source. The accuracy of the algorithm is verified by comparing the three-dimensional results with the one dimensional results. We first calculate the low resistance model tipper response of a single source. After that, a reverse source is added on the basis of a single source, calculating the tipper response with an inverse parallel double source system. Finally, by comparing different emission source systems, we analyze the influence of the multiple sources on SAFTSM, so that we can provide a theoretical basis for practical detection. © Published under licence by IOP Publishing Ltd.

关键词： Finite volume method

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The Optimization of Action Sequence of Security and Stability control System in HVDC Near-Area

The Optimization of Action Sequence of Security and Stabilit...

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2023 international conference on Power System Technology, PowerCon 2023

作者： He, Xianqiang Wu, Mingkang Pu, Qingxin Chang, Dongxu Liu, Mingshun Zhu, Yihua Power Dispatching Control Center of Guizhou Power Grid Co. Ltd Guizhou China Electric Power Research Institute China Southern Power Grid State Key Laboratory of Hvdc Guangzhou China

ISBN: (纸本)9798350300222

With the increase of high voltage direct current(HVDC) transmission capacity, the consequences of HVDC faults on the AC receiving end power grid is becoming increasingly severe, so the security and stability control systems (SSC) with complex functions and strategies are required. But the functions of the AC and HVDC control systems in the near zone power grid are coupled with each other. The incorrect information identification collected by the SSC and the incorrect coordination of multiple action timing may cause incorrect operation of the SSC, which may lead to serious problems such as HVDC blocking or AC system instability. This paper focuses on typical cases of incorrect operation of the SSC in multiple HVDC near zone power grids, analyzes the root causes of the unexpected actions, proposes targeted optimization and improvement measures, and conducts simulation verification based on RTDS. Based on the research of the above typical cases, the general principles for designing a HVDC near zone SSC strategy are proposed, which effectively improves the reliability of the SSC and ensures the safe operation of the high voltage AC/DC hybrid power grid. © 2023 IEEE.

关键词： HVDC power transmission

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Required Level of Detail of Optimization Models for the control of Flexible Energy Resources 14

Required Level of Detail of Optimization Models for the Cont...

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14th IEEE international conference on Communications, control, and Computing Technologies for Smart Grids, SmartGridComm 2023

作者： Wagner, Lukas Peter Kilthau, Maximilian Reinpold, Lasse Matthias Fay, Alexander Institute of Automation Technology Helmut-Schmidt-University Hamburg Germany

ISBN: (纸本)9781665455541

In future energy systems, different energy resources must be controlled simultaneously. To determine their optimal operation, these energy resources must be modeled *** most cases, an adequate model requires a trade-off between the time required to solve the corresponding optimization problem and the model's level of detail. However, optimization models can vary in their level of detail, which affects the modeling effort as well as the computational power and time required to solve. An analysis of modeling approaches shows that there is no consensus in the scientific community regarding the required level of detail of a model to accurately represent the energy resource and its energy flexibility. This paper addresses this gap by comparing models of an energy resource with different levels of detail. The models are applied as optimization models to schedule the operation of energy resources. The qualities of the optimized schedules of the different models are compared and the validity of the optimized schedules is confirmed by a detailed simulation model. The results indicate that accurate results can be obtained without in-depth modeling of the underlying physical processes. Thus, the computational effort can be reduced by using less complex models without compromising the accuracy of the predictive capabilities, especially in use cases where many different energy resources need to be modeled and subsequently optimized. © 2023 IEEE.

关键词： Optimization

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An Improved Model Predictive control Strategy for Virtual Synchronous Generator with Adaptive Parameters

An Improved Model Predictive Control Strategy for Virtual Sy...

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2023 IEEE international conference on Predictive control of Electrical Drives and Power Electronics, PRECEDE 2023

作者： Jin, Nan Bai, Jiajun Wang, Rui Cui, Yuyue Yang, Xiaoliang Li, Yihao Zhengzhou University of Light Industry School of Electrical and Information Engineering Zhengzhou China

ISBN: (纸本)9798350396867

Virtual Synchronous Generator (VSG) can simulate the characteristics of synchronous generator to provide inertia and damping for the system. For systems using an NPC three-level converter structure, traditional control methods require complex dual-loop control and internal PI parameter tuning, as well as more sensors. In addition, when island microgrid is switched by high power load, fixed parameter VSG cannot guarantee frequency regulation performance. To solve these problems, this paper proposes an NPC three-level VSG model predictive control strategy with parameter adaptation. The method is simple in operation and reduces the use of DC side current sensor. The angular velocity deviation and the change-rate of angular velocity are combined with the adaptive control strategy, and the fastest tracking differentiator is used to extract the angular velocity rate of change without setting subsection functions and thresholds, which effectively avoids frequent parameter fluctuations and improves the frequency stability of the microgrid when power changes. The effectiveness of the proposed strategy is verified by simulation. © 2023 IEEE.

关键词： Synchronous generators

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MATLAB/Simulink-Based Linearization Model of a Boost DC-DC Converter 26

MATLAB/Simulink-Based Linearization Model of a Boost DC-DC C...

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26th international conference on Electronics (ELECTRONICS)

作者： Hinov, Nikolay L. Gilev, Bogdan N. Hristov, Ivan S. Tech Univ Sofia Dept Power Elect 8 Blvd St Kliment Ohridsky Sofia 1000 Bulgaria Tech Univ Sofia Dept Math Modeling & Numer Methods 8 Blvd St Kliment Ohridsky Sofia 1000 Bulgaria

ISBN: (纸本)9781665483216

In this paperwork is presented MATLAB/Simulink base approach for model linearization of power electronic devices. Analyzed problem is important for optimal design, control loop synthesis, stability analysis and guaranteeing the parameters of power electronic devices and systems. The process is described in details step by step with example of Boost DC/DC converter. The linearization results are verified by comparison with laboratory sample and in addition Bode-Diagrams of model and mock-up are presented. Proposed approach is useful to be applied in the field of research and development and power electronics education classes, because it is suitable for automation and doesn't require users to have in-deep knowledge of mathematics and control systems. The application of mathematical software enables students with less fundamental training to solve practical problems related to optimal design and synthesis of management.

关键词： control design DC-DC Power Converter Linearization techniques Mathematical model Pulse width modulation converters

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The Problem of Optimal control of the Laminar Flow of a Viscous Liquid in a Network Carrier 4

The Problem of Optimal Control of the Laminar Flow of a Visc...

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4th international conference on control systems, Mathematical modeling, Automation and Energy Efficiency, SUMMA 2022

作者： Podvalny, Semyen Leonidovich Provotorov, Vyacheslav Vasilyevich Hoang, Van Nguyen Voronezh State Technical University Automated and Computing Systems Department Voronezh Russia Voronezh State University Partial Differential Equations and Probability Theory Department Voronezh Russia

ISBN: (数字)9781665456593

ISBN: (纸本)9781665456593

The paper considers the problem of optimal control of the differential-difference system, the formalisms of which represent the process of a laminar flow of a viscous fluid in the network carrier. The influence on the mathematical model of the transfer process is carried out with the help of influences concentrated in all internal places of conjugation (branching) of a network carrier of a continuous medium. In the case under consideration, the differential-difference system of equations is a mathematical model of a laminar flow of a viscous fluid over a network carrier with a discrete change in the time variable. The study essentially uses the conjugate state and the conjugate system for the original differential-difference system. In applications, the differential-difference system and optimization problems for it can be used as a tool for observing the received information in discrete time about the state of the network pipeline, as well as for analyzing and evaluating changes in the technical characteristics of the process of transporting viscous media and subsequent decision-making. © 2022 IEEE.

关键词： Laminar flow

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