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Power system stability enhancement through optimal PSS design

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e-Prime - Advances in Electrical engineering, Electronics and Energy 2024年 9卷

作者： Islam, Md. Rashidul Azam, Md. Samiul Hossen, Md. Saber Islam, Mohammad Saiful Worku, Muhammed Y. Shahriar, Mohammad Shoaib Shafiullah, Md. Department of Electrical and Electronic Engineering International Islamic University Chittagong Chittagong 4318 Bangladesh Interdisciplinary Research Center for Renewable Energy and Power Systems King Fahd University of Petroleum & Minerals Dhahran 31261 Saudi Arabia Department of Electrical Engineering University of Hafr Al-Batin Hafr Al Batin 31991 Saudi Arabia Control & Instrumentation Engineering Department King Fahd University of Petroleum & Minerals Dhahran 31261 Saudi Arabia Interdisciplinary Research Center for Sustainable Energy Systems (IRC-SES) King Fahd University of Petroleum & Minerals Dhahran 31261 Saudi Arabia

Low-frequency oscillations (LFO) are generated in interconnected electric networks because of the weak tie lines between the parts of the networks. Such oscillations have been a significant challenge for engineers that may lead to system instability if appropriate measures are not taken. This article proposes two new metaheuristic algorithms, the jellyfish search algorithm (JSA) and the tunicate swarm algorithm (TSA), to design the power system stabilizers (PSS) for single machine infinite bus (SMIB) and multimachine power system (MPS) networks. The proposed method uses the JSA and TSA to dampen out the LFOs by modifying the vital parameters of lead-lag type conventional PSS (CPSS). A damping ratio-based objective function improves both models' system damping. These methods are tested on an SMIB system and two distinct MPS networks exposed to the three-phase fault under various loading conditions. The effectiveness of the suggested approach has been studied by comparing the system eigenvalues and minimum damping ratio (MDR) produced from JSA and TSA-tuned PSS and the CPSS. In addition, time domain simulation results are compared, demonstrating that the new approach outperforms the standard techniques, such as particle swarm optimization (PSO) and backtracking search algorithm (BSA). In the SMIB system, MDR produced by JSA and TSA-based PSS is 2.55 times higher than that of CPSS. Similarly, in comparison to PSO and BSA-based PSS, JSA, and TSA-tuned PSS offer >1.4 times greater MDR in the Two Area Four Machine network and up to 8.4 times larger MDR for the IEEE-39 Bus network. Furthermore, the efficacy of the suggested JSA and TSA approaches' prediction capacity is validated by satisfying the values of statistical performance metrics. © 2024 The Author(s)

关键词： Damping ratio Dynamic stability Jellyfish search algorithm Low frequency oscillation Power system stabilizers Tunicate swarm algorithm

Resilient control under Quantization and Denial-of-Service: Co-designing a Deadbeat controller and Transmission Protocol

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arXiv 2021年

作者： Liu, Wenjie Sun, Jian Wang, Gang Bullo, Francesco Chen, Jie State Key Lab of Intelligent Control and Decision of Complex Systems The School of Automation Beijing Institute of Technology Beijing100081 China State Key Lab of Intelligent Control and Decision of Complex Systems The School of Automation Beijing Institute of Technology Beijing100081 China Beijing Institute of Technology Chongqing Innovation Center Chongqing401120 China Department of Control Science and Engineering Tongji University Shanghai201804 China Mechanical Engineering Department The Center of Control Dynamical Systems and Computation UC Santa BarbaraCA93106-5070 United States

This paper is concerned with the problem of stabilizing continuous-time linear time-invariant systems subject to quantization and Denial-of-Service (DoS) attacks. In this context, two DoS-induced challenges emerge with the design of resilient encoding schemes, namely, the coupling between encoding strategies of different signals, and the synchronization between the encoder and decoder. To address these challenges, a novel structure that is equipped with a deadbeat controller as well as a delicate transmission protocol for the input and output channels, co-designed leveraging the controllability index, is put forward. When both input and output channels are subject to DoS attacks and quantization, the proposed structure is shown able to decouple the encoding schemes for input, output, and estimated output signals. This property is further corroborated by designing encoding schemes as well as conditions that ensure exponential stability of the closed-loop system. On the other hand, when only the output channel is subject to network phenomenon, the proposed structure can achieve exponential stabilization without acknowledgment (ACK) signals, in contrast to existing ACK-based results. Finally, a numerical example is given to demonstrate the practical merits of the proposed approach as well as the theory. © 2021, CC BY.

关键词： Denial-of-service attack

Extended NNs-Based Adaptive Event-Triggered Asymptotic control for Nonlinear systems Against Actuator Faults

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Extended NNs-Based Adaptive Event-Triggered Asymptotic Contr...

International Symposium on Autonomous systems (ISAS)

作者： Shanlin Liu Yingwei Zhang Xudong Zhao Hesheng Wang College of Information Science and Engineering Northeastern University Shenyang China State Laboratory of Synthesis Automation of Process Industry Northeastern University Shenyang China Faculty of Electronic Information and Electrical Engineering Dalian University of Technology Dalian China Department of Automation Key Laboratory of System Control and Information Processing of Ministry of Education Key Laboratory of Marine Intelligent Equipment and System of Ministry of Education Shanghai Engineering Research Center of IntelligentControl and Management Shanghai Jiao Tong University Shanghai China

ISBN: (数字)9798350363173

ISBN: (纸本)9798350363180

In this article, an adaptive event-triggered asymp¬totically fault-tolerant control (FTC) issue for nonlinear systems with actuator faults is investigated. An extended neural networks (NNs) technique is introduced to estimate unknown functions of the system under consideration. Compared with traditional NNs that ignore approximation errors, the proposed extended NNs further processes approximation errors, reducing the conservatism of the proposed algorithm. Then, within the framework of backstepping method, a new adaptive control strategy is developed by combining event-triggered mechanism (ETM) and bound estimation (BE) approach, which ensures the asymptotic convergence of system states while also reducing the transmission of unnecessary information, thus improving the utilization of communication resources. At the same time, the designed controller eliminates the adverse effects of actuator failures and system nonlinear terms. Finally, a simulation example of a single-link robot system is provided to demonstrate that the developed control strategy can ensure that all signals are bounded and system states are asymptotically convergent.

关键词： Actuators Backstepping Fault tolerant systems Process control Artificial neural networks control systems Approximation error

Gaussian Belief Space Path Planning for Minimum Sensing Navigation

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arXiv 2021年

作者： Pedram, Ali Reza Funada, Riku Tanaka, Takashi Walker Department of Mechanical Engineering University of Texas at Austin United States Department of Systems and Control Tokyo Institute of Technology Japan Department of Aerospace Engineering and Engineering Mechanics University of Texas at Austin United States

We propose a path planning methodology for a mobile robot navigating through an obstacle-filled environment to generate a reference path that is traceable with moderate sensing efforts. The desired reference path is characterized as the shortest path in an obstacle-filled Gaussian belief manifold equipped with a novel information-geometric distance function. The distance function we introduce is shown to be an asymmetric quasi-pseudometric and can be interpreted as the minimum information gain required to steer the Gaussian belief. An RRT*-based numerical solution algorithm is presented to solve the formulated shortest-path problem. To gain insight into the asymptotic optimality of the proposed algorithm, we show that the considered path length function is continuous with respect to the topology of total variation. Simulation results demonstrate that the proposed method is effective in various robot navigation scenarios to reduce sensing costs, such as the required frequency of sensor measurements and the number of sensors that must be operated simultaneously. Copyright © 2021, The Authors. All rights reserved.

关键词： Motion planning

The Level of Digital and Communication Competencies of Students at Faculties of Civil engineering in the Distance Learning Form 18

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The Level of Digital and Communication Competencies of Stude...

18th IEEE International Conference on Emerging eLearning Technologies and Applications, ICETA 2020

作者： Mesaros, P. Kanalikova, A. Behunova, A. Mandicak, T. Spisakova, M. Faculty of Civil Engineering Department of Economics Management and Information Systems in Construction Kosice Slovakia Faculty of Civil Engineering Department of Applied Mathematics and Descriptive Geometry Kosice Slovakia Faculty of Mining Ecology Process Control and Geotechnologies Institute of Earth Resources Kosice Slovakia Faculty of Civil Engineering Department of Technologies and Innovations in Construction Kosice Slovakia

ISBN: (纸本)9780738123660

For education, 2020 became the year of distance learning and online communication in the teacher-student relationship, but also in the student-student relationship. This teaching system brings many challenges for both parties and the need to improve the communication and digital competencies of all involved. It also requires increased demands on the hardware and software provision of teaching on both sides of the teaching process. This article focuses on the issue and description of communication and digital skills needed for distance learning. The main goal of the research is to compare and map the communication and digital ICT competencies of faculty students with a construction focus during full-time and distance learning. The results of the research are analyzed in the article using methods of descriptive as well as analytical statistics. © 2020 IEEE.

关键词： Students

Convergence Rate Bounds for the Mirror Descent Method: IQCs, Popov Criterion and Bregman Divergence

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arXiv 2023年

作者： Li, Mengmou Laib, Khaled Hatanaka, Takeshi Lestas, Ioannis Department of Engineering University of Cambridge Trumpington Street CambridgeCB2 1PZ United Kingdom Graduate School of Advanced Science and Engineering Hiroshima University 1-2-1 Kagamiyama Higashi-Hiroshima Japan Department of Systems and Control Engineering School of Engineering Tokyo Institute of Technology S5-16 2-12-1 Ookayama Meguro-ku Tokyo Japan School of Engineering University of Leicester LeicesterLE1 7RH United Kingdom

This paper presents a comprehensive convergence analysis for the mirror descent (MD) method, a widely used algorithm in convex optimization. The key feature of this algorithm is that it provides a generalization of classical gradient-based methods via the use of generalized distance-like functions, which are formulated using the Bregman divergence. Establishing convergence rate bounds for this algorithm is in general a non-trivial problem due to the lack of monotonicity properties in the composite nonlinearities involved. In this paper, we show that the Bregman divergence from the optimal solution, which is commonly used as a Lyapunov function for this algorithm, is a special case of Lyapunov functions that follow when the Popov criterion is applied to an appropriate reformulation of the MD dynamics. This is then used as a basis to construct an integral quadratic constraint (IQC) framework through which convergence rate bounds with reduced conservatism can be deduced. We also illustrate via examples that the convergence rate bounds derived can be tight. Copyright © 2023, The Authors. All rights reserved.

关键词： Lyapunov functions

Distributed Coverage Hole Prevention for Visual Environmental Monitoring with Quadcopters via Nonsmooth control Barrier Functions

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arXiv 2022年

作者： Funada, Riku Santos, María Maniwa, Ryuichi Yamauchi, Junya Fujita, Masayuki Sampei, Mitsuji Egerstedt, Magnus The Department of Systems and Control Engineering Tokyo Institute of Technology Tokyo152-8550 Japan The Department of Mechanical and Aerospace Engineering Princeton University PrincetonNJ08544 United States The Department of Information Physics and Computing The University of Tokyo Tokyo113-8656 Japan The Department of Electrical Engineering and Computer Science University of California Irvine IrvineCA92697 United States

This paper proposes a distributed coverage control strategy for quadcopters equipped with downward-facing cameras that prevents the appearance of unmonitored areas in between the quadcopters' fields of view (FOVs). We derive a necessary and sufficient condition for eliminating any unsurveilled area that may arise in between the FOVs among a trio of quadcopters by utilizing a power diagram, i.e. a weighted Voronoi diagram defined by radii of FOVs. Because this condition can be described as logically combined constraints, we leverage nonsmooth control barrier functions (NCBFs) to prevent the appearance of unmonitored areas among a team's FOV. We then investigate the symmetric properties of the proposed NCBFs to develop a distributed algorithm. The proposed algorithm can support the switching of the NCBFs caused by changes of the quadcopters composing trios. The existence of the control input satisfying NCBF conditions is analyzed by employing the characteristics of the power diagram. The proposed framework is synthesized with a coverage control law that maximizes the monitoring quality while reducing overlaps of FOVs. The proposed method is demonstrated in simulation and experiment. Copyright © 2022, The Authors. All rights reserved.

关键词： Sensor networks

Joint Multi-stage Planning of Renewable Generation, HESS, and AESS for Deeply Decarbonizing Power systems with High-penetration Renewables

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IEEE Transactions on Sustainable Energy 2024年

作者： Yu, Zhipeng Chi, Yingtian Lin, Jin Liu, Feng Li, Jiarong Song, Yonghua Ren, Zhengwei Lu, Chengcheng Ji, Mengbo Tsinghua University State Key Laboratory of Control and Simulation of Power Systems and Generation Equipment Department of Electrical Engineering Beijing100087 China Tsinghua University Sichuan Energy Internet Research Institute Chengdu610213 China Harvard University Harvard John A. Paulson School of Engineering and Applied Sciences Cambridge United States University of Macau Department of Electrical and Computer Engineering Macau999078 China Tsinghua University Department of Electrical Engineering Beijing100087 China China Electric Power Planning & Engineering Institute National Electric Power Planning and Research Center Beijing100087 China Co. Ltd. Beijing100087 China Ordos City Hanxia Renewable Energy Co. Ltd. Ordos014300 China

The further decarbonization of power systems with high renewable energy penetration faces the problem of inter-day intermittence of renewable energy sources (RES) and the seasonal imbalance between RES and load demand, due to the limited regulation ability of conventional units such as thermal generation. Regular solutions based on battery energy storage system (BESS) are too costly to be practical. To address issues above, hydrogen energy storage system (HESS) and ammonia energy storage system (AESS) are introduced to gradually replace thermal generation. Specifically, first, HESS and AESS are incorporated into the multi-stage capacity expansion planning (MSCEP) model with carbon emission reduction constraints. Yearly data with hourly time resolution are utilized for each stage to accurately describe the intermittence of RES. Then, an improved column generation (CG) with Dantzig-Wolfe decomposition (DWD) embedded solution approach is used to efficiently solve the large-scale MSCEP model. Finally, a real-life system in China is studied. The results indicate that the proposed method can guarantee high power supply reliability (PSR) under different renewable energy penetration levels, avoiding the low PSR problem that may be caused by the existing typical scenario-based method (TSM) under high penetration (≥30%). Moreover, HESS and AESS are essential to reduce the cost of decarbonization. Especially under the goal of carbon neutrality, the contribution of HESS and AESS in reducing levelized cost of energy (LCOE) reaches 12.28% and 14.59%, respectively, leading to a levelized cost of carbon reduction (LCOCr) of 998 RMB/t. © 2010-2012 IEEE.

关键词： Hydrogen storage

Shape and Style Gan-Based Multispectral Data Augmentation for Crop/Weed Segmentation in Precision Farming

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SSRN

SSRN 2022年

作者： Fawakherji, Mulham Suriani, Vincenzo Bloisi, Domenico D. Nardi, Daniele Department of Computer Control and Management Engineering Antonio Ruberti Sapienza University of Rome via Ariosto 25 Rome00185 Italy Department of Mathematics Computer Science and Economics University of Basilicata viale dell’Ateneo Lucano 10 Potenza85100 Italy

The use of deep learning methods for precision farming is gaining increasing interest. However, collecting training data in this application field is particularly challenging and costly due to the need of acquiring information during the different growing stages of the cultivation of interest. In this paper, we present a method for data augmentation that uses two GANs to create artificial images to augment the training data. To obtain a higher image quality, instead of re-creating the entire scene, we take original images and replace only the patches containing objects of interest with artificial ones containing new objects with different shapes and styles. In doing this, we take into account both the foreground (i.e., crop samples) and the background (i.e., the soil) of the patches. Quantitative experiments, conducted on publicly available datasets, demonstrate the effectiveness of the proposed approach. Source code and data discussed in this work are available as open source. © 2022, The Authors. All rights reserved.

关键词： Crops