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2nd IEEE International Conference on system analysis and Intelligent Computing, SAIC 2020

作者： Kutsenko, Alexander Kovalenko, Svitlana Kovalenko, Sergii Kashcheiev, Leonid Mikhnova, Olena Chaly, Igor National Technical University 'Khpi' Dept. of System Analysis and Information-Analytical Technologies Kharkiv Ukraine National Technical University 'Khpi' Dept. of Software Engineering and Management Information Technologies Kharkiv Ukraine National Technical University of Agriculture Dept. of Cybernetics Kharkiv Petro Vasylenko Kharkiv Ukraine

ISBN: (纸本)9781728190822

Based on a fuzzy inference system, an approach for calculating the e-tourist attractiveness of the country as a tourist destination is proposed. We define here e-tourism attractiveness as the opinion of a tourist, formed on the basis of data obtained from various sources posted on the web. Assessment is based on publicly available data about the country, collected from travel and tourist websites. To collect the input data, an automated system for website scraping and data parsing is developed. For more effective data processing by experts, a hierarchical system is built. At the upper level, the inputs are fuzzified and aggregated into complex indicators of transport, tourism and entertainment infrastructure using the union of fuzzy sets. At the lower level, Mamdani fuzzy inference is carried out using the rule base developed by experts in travel and tourism domain. The fuzzy rule base simplification and reduction is carried out. To check the adequacy of simplification, the values of the output parameters are calculated using the simplified and initial rule bases. An analysis of the results is carried out, the levels of e-tourist attractiveness for a number of countries is determined. These values can be used as quantitative indicators of the competitiveness of countries in the global e-travel and tourism market. © 2020 IEEE.

关键词： Fuzzy inference

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Modeling Supports the Implementation of Urban Greening as a Response to the Challenges of Sustainable Spatial Planning

SSRN

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SSRN 2024年

作者： Kim, Eun Sub Lee, Dong Kun Hyun, Jung Hee Kim, Na Yeon Heo, Su Jeong Kim, Da Sle Interdisciplinary Program in Landscape Architecture Seoul National University Seoul08826 Korea Republic of Integrated Major in Smart City Global Convergence Program Seoul National University Seoul08826 Korea Republic of Specialized Graduate School of Intelligent Eco-Science 4 Dept. of Landscape Architecture Seoul National University Seoul08826 Korea Republic of Systemic Risk and Resilience Research Group Advancing Systems Analysis International Institute for Applied Systems Analysis Austria Department of Landscape Architecture and Rural System Engineering Seoul National University Seoul08826 Korea Republic of

Urban greening is a critical strategy for sustainable urban development, climate change mitigation, and biodiversity conservation. However, the effectiveness of urban greening varies depending on the specific goals (e.g., enhancing biodiversity, reducing urban heat, or both) and their spatial implementation. To address the spatial variability in the effectiveness of greening, we propose a spatial decision support model based on the non-dominated sorting genetic algorithm-II (NSGA-II). This model aims to optimize urban greening locations to maximize biomass density, mitigate urban heat stress, and simultaneously improve landscape connectivity. Applied to Suwon City, South Korea, the model's effectiveness was evaluated against a Business-As-Usual (BAU) scenario across four scenarios: Connectivity-based, Biomass density-based, Heat stress-based, and an Integrated-based scenario. The integrated approach, balancing trade-offs between ecological benefits and implementation costs, outperformed the BAU scenario by 8.84%. This outcome indicated of significant improvements in biomass density and landscape connectivity, despite highlighting a weaker correlation with heat stress mitigation. Our findings underscore the necessity of an integrated planning approach to urban greening, as it can contribute toward the attainment of urban development goals. Additionally, by proposing an app-based model for policymakers to utilize, our outputs should enable the reconciliation of multiple environmental objectives in urban landscapes. © 2024, The Authors. All rights reserved.

关键词： Climate change

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High-Performance Nonlinear control for Three-Phase Two-Level Boost PFC Rectifier

High-Performance Nonlinear Control for Three-Phase Two-Level...

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Materials and Energy: Energy in Electrical engineering (ICOME-EE), International Conference on

作者： Songklod Sriprang Babak Nahid-Mobarakeh Noureddine Takorabet Serge Pierfederici Apinya Siangsanoh Kanapot Yodmanee Pongsiri Mungporn Phatiphat Thounthong Nitchamon Poonnoy Nicu Bizon Thong-In Suyata Sakrit Noosawang GREEN-ENSEM Laboratory Université de Lorraine France Rattanakosin Wang Klai Kangwon Campus Petchkasem RD Rajamangala University of Technology Prachuap Khiri Khan Thailand LEMTA Laboratory Université de Lorraine France Renewable Energy Research Centre (RERC) Thai-French Innovation Institute King Mongkut’s University of Technology North Bangkok Bangkok Thailand Dept. Teacher Training in Electrical Engineering Faculty of Technical Education Faculty of Electronics Communication and Computers University of Pitesti Pitesti Romania Department of Electrical Engineering Faculty of Rajamangala University of Technology Thailand Dept. of Control System and Instrumentation Engineering Faculty of Engineering King Mongkut’s University of Technology Thonburi Bangkok Thailand

ISBN: (数字)9798331531577

ISBN: (纸本)9798331531584

This paper presents a high-performance nonlinear control strategy for a three-phase, two-level boost Power Factor Correction (PFC) rectifier. The proposed control method aims to achieve superior performance in terms of power factor correction, output voltage regulation, and dynamic response under various operating conditions. Utilizing advanced nonlinear control techniques, the system ensures optimal tracking of the reference signals, minimizing total harmonic distortion (THD) and improving overall efficiency. The effectiveness of the control strategy is validated through extensive simulations and experimental results, demonstrating significant improvements in the transient and steady-state performance of the rectifier. This approach provides a robust and efficient solution for PFC applications in modern power electronics systems.

关键词： Electrical engineering Dynamic response Total harmonic distortion Rectifiers Power factor correction control systems Power electronics Steady-state Voltage control Transient analysis

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Integrated analysis and Monitoring for Large-scale Wind Farm Connected with Large Capacity Thermal Power Plant 3

Integrated Analysis and Monitoring for Large-scale Wind Farm...

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3rd IEEE Conference on Energy Internet and Energy system Integration, EI2 2019

作者： Shi, Bonian Sun, Xiaoyan Sun, Gang BEIJING SIFANG AUTOMATION CO. LTD System Analysis and Control Dept. Beijing China

ISBN: (纸本)9781728131375

With the rapid development of wind power in China, large-scale wind power transmission is inevitable. Wind energy is volatile and intermittent, and can not be transported separately over long distances. The bundling of wind power and thermal power has become a research direction of widespread concern. This paper firstly introduces a large-scale wind power plant connected with large capacity thermal power plant in North China, and establishes an equivalent model through PSCAD/EMTDC. Then, for the equivalent model, the risk of sub-synchronous oscillation (SSO) is analyzed by using time-domain simulation. The results indicate that the SSO is possible if the wind turbine converter control parameters are unreasonable and the transmission system is connected to a weak AC system, which can increase the oscillation of the thermal generator. Furthermore, a monitoring method of SSO for large-scale wind power connected with large capacity thermal power plant is proposed. The effectiveness of the method is verified by electromagnetic transient simulation. © 2019 IEEE.

关键词： Time domain analysis

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Topology Inference for Network systems: Causality Perspective and Non-asymptotic Performance

arXiv

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arXiv 2021年

作者： Li, Yushan He, Jianping Chen, Cailian Guan, Xinping Dept. of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai Engineering Research Center of Intelligent Control and Management Shanghai China

Topology inference for network systems (NSs) plays a crucial role in many areas. This paper advocates a causality-based method based on noisy observations from a single trajectory of a NS, which is represented by the state-space model with general directed topology. Specifically, we first prove its close relationships with the ideal Granger estimator for multiple trajectories and the traditional ordinary least squares (OLS) estimator for a single trajectory. Along with this line, we analyze the non-asymptotic inference performance of the proposed method by taking the OLS estimator as a reference, covering both asymptotically and marginally stable systems. The derived convergence rates and accuracy results suggest the proposed method has better performance in addressing potentially correlated observations and achieves zero inference error asymptotically. Besides, an online/recursive version of our method is established for efficient computation or time-varying cases. Extensions on NSs with nonlinear dynamics are also discussed. Comprehensive tests corroborate the theoretical findings and comparisons with other algorithms highlight the superiority of the proposed method. Copyright © 2021, The Authors. All rights reserved.

关键词： Trajectories

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Enabling conditions for the deployment of integrated local energy communities in Europe

TechRxiv

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TechRxiv 2023年

作者： Caliano, Martina Buonanno, Amedeo Di Somma, Marialaura Graditi, Giorgio Papadimitriou, Christina Charalambous, Chrysanthos Dopierala, Przemyslaw Bronk, Leszek Dept. of Energy Technologies and Renewable Energy Sources ENEA NA Portici Italy Dept. of Energy Technologies and Renewable Energy Sources ENEA Rome Italy Eindhoven Netherlands Department of Electrical and Computer Engineering University of Cyprus FOSS Research Centre for Sustainable Energy Nicosia Cyprus Department of Control Information and Communications Instytut Energetyki – Instytut Badawczy Gdansk Poland Department of Strategy and System Development Instytut Energetyki – Instytut Badawczy Gdansk Poland

The main goal of eNeuron H2020 project (Nov 2020-Oct. 2024, ID: 957779) is to develop innovative tools for the optimal design and operation of local energy communities, integrating distributed energy resources and multiple energy carriers at different scales. This paper presents a review study of the enabling conditions for the deployment of integrated local energy communities (ILECs) in Europe, performed within the project. The enabling conditions are addressed by defining the key actors and their interests in the implementation of an energy community at local level and through a detailed mapping of the enabling and emerging energy and information and communication technologies at both household and community levels. Special focus is also on mapping of the demand-side flexibility technologies to understand the benefits of local flexibility and impacts on the larger systems. In such analysis, the key issues for implementation and adaptation of this new energy paradigm are investigated through covering technological, socio-economic, environmental, and regulatory aspects. © 2023, CC BY.

关键词： Mapping

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Influence Study of VSC-HVDC Interconnection on AC Line Differential Protection 8

Influence Study of VSC-HVDC Interconnection on AC Line Diffe...

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8th IEEE International Conference on Advanced Power system Automation and Protection, APAP 2019

作者： Bonian, S.H.I. Gang, S.U.N. Rui, J.I.N. Jun, X.I.E. Yingying, Wang Beijing Sifang Automation Co. Ltd. System Analysis and Control Dept. Beijing China

ISBN: (纸本)9781728117225

VSC-HVDC can improve the stability of AC grid, but it also changes the fault characteristics of AC grid. Thus, it is necessary to re-verify the AC line protection connected with VSC-HVDC. Based on the different operation modes of VSC-HVDC, the fault characteristics on VSC-HVDC system are analyzed: The magnitude of positive and negative sequence fault current is greatly influenced by VSC-HVDC control strategy and the negative sequence fault current is completely suppressed, but the zero sequence fault current characteristics are not affected. Based on the derived fault characteristics, an optimization strategy of starting elements is proposed, which is based on AC strong fault side commanding VSC-HVDC weak fault side and voltage reduction criterion. Meanwhile, the influence range of VSC-HVDC interconnection on fault characteristics of AC lines is given. Finally, a simulation model is built in PASCAD/EMTDC software and the effectiveness of the proposed optimization strategy is validated. © 2019 IEEE.

关键词： Electric fault currents

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Online control of Affine systems in Stochastically Modeled Contexts

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IFAC-PapersOnLine 2020年第2期53卷 3354-3360页

作者： Patrick Flüs Olaf Stursberg Control and System Theory Dept. of Electrical Engineering and Computer Science University of Kassel 34121 Kassel Germany

This paper proposes an algorithm for online controller synthesis for autonomous systems with LTI dynamics considering obstacle avoidance. The obstacles are assumed to be other systems with affine probabilistic dynamics. The initial state as well as the disturbances of these systems are Gaussian distributed. To guarantee that the probability of a collision is smaller than a predefined threshold, probabilistic reachable sets are used. Due to the Gaussian distribution, the probabilistic reachability procedure can use the principles of the ellipsoidal calculus. For the autonomous system, these time-varying reachable sets of the other systems are avoided by an approach, which is based on model predictive control and successive convexification of the constraints. Due to high computational times required for the computation of probabilistic reachable sets and the convexification, different techniques to reduce the computational time significantly are also proposed.

关键词： multi-agent systems distributed control uncertain systems constrained control networked systems predictive control

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Balanced Stochastic Optimal control of Uncertain Linear systems with Constraints

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IFAC-PapersOnLine 2020年第2期53卷 7172-7178页

作者： Jannik Hahn Olaf Stursberg Control and System Theory Dept. of Electrical Engineering and Computer Science University of Kassel 34121 Kassel Germany

This paper addresses finite-time horizon optimal control for discrete-time dynamics with additional stochastic disturbances. In contrast to most existing approaches to this problem, we also minimize the uncertainty of future states arising from stochastic disturbances and from an uncertain initial state. Thus, the optimal control strategy balances the minimization of the expected distances to a reference signal, and the minimization of the uncertainty respectively. As opposed to prior work, the optimization is formulated subject to possible disturbance feedback policies. This enables to solve one semi-definite program over H steps, instead of solving H problems over one step, and the resulting reduced complexity allows one to use the scheme in online and predictive control. The proposed method is applicable to time-varying state constraints (in the sense of chance constraints) as well as time-invariant input constraints.

关键词： Stochastic optimal control disturbance rejection constrained systems robust invariance uncertain systems

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Sneak attack against mobile robotic networks under formation control

arXiv

引用

arXiv 2021年

作者： Liy, Yushan Hey, Jianping Dingy, Xuda Caiz, Lin Guany, Xinping Dept. of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China Shanghai China Dept. of Electrical and Computer Engineering University of Victoria VictoriaBC Canada

The security of mobile robotic networks (MRNs) has been an active research topic in recent years. This paper demonstrates that the observable interaction process of MRNs under formation control will present increasingly severe threats. Specifically, we find that an external attack robot, who has only partial observation over MRNs while not knowing the system dynamics or access, can learn the interaction rules from observations and utilize them to replace a target robot, destroying the cooperation performance of MRNs. We call this novel attack as sneak, which endows the attacker with the intelligence of learning knowledge and is hard to be tackled by traditional defense techniques. The key insight is to separately reveal the internal interaction structure within robots and the external interaction mechanism with the environment, from the coupled state evolution influenced by the model-unknown rules and unobservable part of the MRN. To address this issue, we first provide general interaction process modeling and prove the learnability of the interaction rules. Then, with the learned rules, we design an Evaluate-Cut-Restore (ECR) attack strategy considering the partial interaction structure and geometric pattern. We also establish the sufficient conditions for a successful sneak with maximum control impacts over the MRN. Extensive simulations illustrate the feasibility and effectiveness of the proposed attack. Copyright © 2021, The Authors. All rights reserved.

关键词： Robotics

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