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Group-Based Voltage control For Distribution System With High Penetration of PVs 3

Group-Based Voltage Control For Distribution System With Hig...

引用

3rd IEEE International conference on Smart Technologies for Power, Energy and control, STPEC 2023

作者： Kumar, Digamber Padhy, Bibhu Prasad Indian Institute of Technology Ropar Electrical Department Rupnagar India

ISBN: (纸本)9798350304732

In the Distribution System (DS), increasing the ratio of solar photovoltaic distributed generators (PV-DGs) results in overvoltage issues. For the reliable and stable operation of DS, this issue must be addressed. In this paper, the Group-Based Voltage control (GBVC) technique has been proposed. In order to implement GBVC, novel differential entropy-based spectral-clustring clustering is used. It separates the DS in such a way that existing PV-DGs in the group can manage the voltage profile of the group. The optimal operating power of PV-DGs has been determined by implementing the Optimal Power flow (OPF) within the group by satisfying multiple objectives, such as minimizing the active power curtailment and reactive power absorption by available PV-DGs within the group and system losses. The effectiveness of GBVC has been validated on IEEE 33 distribution system by comparing it with the Centralized Voltage control (CVC) method regarding voltage profile, cumulative active power curtailment and reactive power absorption by PV-DGs, distribution system losses and computation time. © 2023 IEEE.

关键词： centralized voltage control differential entropy group-based voltage control spectral grouping

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Numerical simulation research for scramjet inlet separation control 3

Numerical simulation research for scramjet inlet separation ...

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2024 3rd International conference on Aerospace, Aerodynamics and Mechatronics Engineering, AAME 2024

作者： Pan, Sha Wang, Yaping Fu, Yuqing Sheng, An Xi, Wenxiong Hunan Sany Polytechnic College Hunan Changsha410129 China Academy of Hi-Tech Research Hunan Institute of Traffic Engineering Hunan Hengyang421009 China

According to the characteristics of the scramjet, numerical analysis and simulation of its inlet and separation control are carried out. CFD method is used to simulate the scramjet under shock/boundary layer interaction and separation. By setting the overflow slot, the separation zone is sucked out. The results show that the size of the separation zone can be greatly reduced, the inlet flow rate and Mach number can be increased, and the drag force can be effectively reduced. Optimization results and modifications are put forward to improve engine performance, which can also be applied to further engineering research. © Published under licence by IOP Publishing Ltd.

关键词： Computational fluid dynamics

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Emergency Blocking control Strategy Against Power System Cascading Failure Based on Risk Assessment 3

Emergency Blocking Control Strategy Against Power System Cas...

引用

3rd Power System and Green Energy conference, PSGEC 2023

作者： Pei, Yangzhou Yang, Jun Ji, LuYu Tu, JingZhe School of Electrical Engineering and Automation Wuhan University Hubei Engineering and Technology Research Center for AC/DC Intelligent Distribution Network Wuhan China China Electric Power Research Institute Beijing China

ISBN: (纸本)9798350340099

Emergency blocking control is of great significance for blocking cascading failure process and preventing system collapse. An emergency blocking control scheme against cascading failure based on risk assessment is proposed, in terms of maintaining the stability and economy of the power system. Firstly, the cascading failure involving the renewable generators is simulated, integrating the DC power flow, the line operation reliability model, and the hidden fault of the relay protection device. Then, the average load loss index by simulating multiple system cascading failure is obtained. Based on the calculated operation risk, the double dueling deep q network (D3QN) based reinforcement learning framework for emergency blocking control scheme is designed. And the prioritized experience replay mechanism is selected for learning improvement. Finally, case study on the IEEE 36-bus system is carried out to verify the effectiveness of the proposed method. © 2023 IEEE.

关键词： Risk assessment

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Household Energy Router based on Single-Phase Full-Bridge Three-Level Topology 3

Household Energy Router based on Single-Phase Full-Bridge Th...

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3rd International conference on Electrical Engineering and control Science, IC2ECS 2023

作者： Ji, Tao Wu, Yuhong State Grid Deqing County Electric Power Supply Company Zhejiang Huzhou313200 China

ISBN: (纸本)9798350382426

Aiming at the problem that traditional household power routers are susceptible to grid voltage changes and caused by DC bus voltage imbalance, this paper proposes a single-phase full-bridge three-level household energy router with intelligent control at the edge of distribution network. The proposed energy router structure consists of a rectifier-DC link-inverter, and the solar photovoltaic and battery energy storage systems are connected to the DC link. At the same time, an intelligent control method at the edge of the power grid is adopted, which uses the bidirectional characteristics of the power router to adjust the feedback through the load voltage, so that the input voltage can be changed within a certain range. This energy router can be controlled by power factors to regulate active and reactive power output, while reactive power can be injected on the grid side to regulate the voltage. The hardware-in-loop results verify that the proposed energy router can realize the bidirectional flow of energy, so as to adjust the output voltage of the load end or provide reactive power support to the grid side. © 2023 IEEE.

关键词： Household energy router Reactive power control Single-phase three-level

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Braking in Electrical Vehicle for control of heat flow 3

Braking in Electrical Vehicle for Control of heat flow

引用

3rd IEEE International conference on Intelligent Technologies, CONIT 2023

作者： Garg, Rinku Sharma, Ashish Singh, Dharminder Mishra, Jayant Gehlot, Anita University Institute of Computing Chandigarh University Mohali India Chandigarh University Electrical Engineering Department Mohali India Gulzar Group of Institutions Department of ECE Punjab Khanna India IITM Department of CSE IES University Madhya Pradesh Bhopal India Uttaranchal University Uttaranchal Institute of Technology Department of ECE Dehradun India

ISBN: (纸本)9798350338607

Electric vehicles use regenerative braking systems that convert the vehicle's kinetic energy into electrical energy that is stored in the battery for later use. However, one issue that can arise with regenerative braking systems is overheating, which can lead to reduced braking performance or even complete brake failure. This is because regenerative braking systems generate a large amount of heat when they convert kinetic energy into electrical energy. If the heat generated exceeds the capacity of the braking system to dissipate it, then the brakes can become less effective or even fail. To prevent this from happening, electric vehicles are typically equipped with cooling systems to help dissipate the heat generated during regenerative braking. These cooling systems may use air or liquid to cool the brakes and prevent them from overheating. This work give the brief overview of strategies used to limit the heat flow. © 2023 IEEE.

关键词： Brakes

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Adaptive control Method for Driverless Cars Considering Probabilistic Graph Path Planning for Intelligent Vehicles 3

Adaptive Control Method for Driverless Cars Considering Prob...

引用

3rd IEEE International conference on Mobile Networks and Wireless Communications, ICMNWC 2023

作者： Zhou, Zhen School of Intelligent Manufacturing Panzhihua University Panzhihua China

ISBN: (纸本)9798350317022

Traditional path planning methods usually aim to optimize the shortest path length or time, which makes it difficult to accurately plan safe and feasible vehicle driving paths in complex environments. To solve this problem, the algorithm combines a potential field model and a probability graph algorithm. Under the premise of comprehensive evaluation of vehicle driving risks, an artificial potential field algorithm is used to construct a potential field model for the environment. This model mainly considers the coupling effects of multiple obstacles, environmental threats, and road conditions in the environment, and can accurately represent the interaction between vehicles and the environment. At the same time, probability graph algorithm is used for path planning to optimize the multi-dimensional transportation costs between nodes. This method establishes a multidimensional access cost evaluation matrix between sampling points, integrating multiple aspects of vehicle driving, such as road conditions, traffic flow, and turning radius. Finally, the simulation results indicate that the algorithm comprehensively considers the coupling effects of obstacles, environmental threats, and road conditions in the path planning process. The probability graph algorithm has been used to optimize multidimensional travel costs, which can generate feasible, safe, and efficient travel paths, providing a multi-objective optimization path planning algorithm for intelligent vehicles. The application of this algorithm can reduce the load of intelligent vehicle path planning, effectively solve path planning problems in complex environments, and further promote the development of unmanned intelligent vehicle technology. © 2023 IEEE.

关键词： Adaptive control Driverless Car Optimization Algorithm Probabilistic Graph Path Planning Algorithm

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Automatic Saline Reversal control System using IoT 3

Automatic Saline Reversal Control System using IoT

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3rd IEEE International conference on Intelligent Techniques in control, Optimization and Signal Processing, INCOS 2024

作者： Bhuvaneswary, N. Rajesh, V. Aravinth, T. Hemand Surya, M. Karkuvel, M. Syed Haroon, M. Kalasalingam Academy of Research and Education Department of Ece Tamil Nadu Krishnankovil India

ISBN: (数字)9798350361186

ISBN: (纸本)9798350361186

In this study introduces an innovative Internet of Things (IoT)-based alert system designed for medical settings, with the primary goal of preventing saline reversal incidents. The administration of saline is crucial for patient recovery in healthcare facilities, but lapses in staff attention can lead to dangerous reversals. Our proposed system strategically places sensors in the saline network to detect improper flow, specifically backflow of blood, and promptly notifies medical staff via mobile message upon detection. If saline levels drop below a predefined limit, the sensor stops the flow and sends an alert. A user-friendly web application allows real-time monitoring of flow rates. The core components of the system include the ESP8266 as the master controller, a load cell for precise bottle weight measurement, and a servo motor for drip control. Efficient alerts are sent through the IFTTT server, ensuring timely communication via SMS or call. This technological innovation significantly enhances patient safety by reducing harmful incidents associated with saline administration. The web app provides healthcare staff with a convenient platform to monitor current saline levels, marking a critical advancement in healthcare technology for improved patient care and safety. © 2024 IEEE.

关键词： Sensor networks

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Study on fluid-structure interaction vibration characteristics of aerospace piping systems 3

Study on fluid-structure interaction vibration characteristi...

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2024 3rd International conference on Aerospace and control Engineering, ICoACE 2024

作者： Jiang, Zihao Chen, Renwen Liu, Hao Zheng, Boyu State Key Laboratory of Mechanics and Control for Aerospace Structures Nanjing University of Aeronautics and Astronautics Nanjing210016 China

This paper investigates the vibration characteristics of aircraft fuel pipelines under fluid-structure interaction conditions. A detailed analysis of the vibration modes of the aerospace engine piping system is conducted using simulation software, with a particular focus on the effects of clamp mounting methods, fluid type, and fluid flow rate on the vibration behavior of the piping. The research results demonstrate that the appropriate placement of clamps and optimal selection of fluid parameters play a crucial role in enhancing the stability and safety of the piping system. The findings from the simulation analysis provide a theoretical basis for the design and optimization of aerospace piping systems, helping to prevent fatigue damage caused by vibration and improving the reliability of aerospace engines. © 2025 Institute of Physics Publishing. All rights reserved.

关键词： Aircraft fuels

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Research and Application of Intelligent Flexible Switch control Ability Considering Economic Operation of Distribution Network 3

Research and Application of Intelligent Flexible Switch Cont...

引用

3rd International conference on Energy, Power and Electrical Engineering, EPEE 2023

作者： Wang, Lin Hong, Ya Sun, Liangzhi Zhang, Le State Grid Liaocheng Power Supply Company Shandong Province Liaocheng252000 China

ISBN: (纸本)9798350318180

With the extensive access of electric power equipment to the electricity net controlling system, the control strategy of the distribution network with intelligent flexible switches has become a technical problem, especially to solve the optimal power flow of the distribution network. Taking the minimum voltage deviation and minimum network loss as objective functions, this paper establishes a multi-objective optimization control model of a distribution network with intelligent flexible switches and takes the active and reactive power of each port of intelligent flexible switches as control variables. Using IEEE33 nodes as an example, this paper studies the influence of different port numbers on the control ability of intelligent flexible switches and conducts a comparison and verification of four schemes. The experimental data show that compared with the dual-port intelligent flexible switch with the same number of converters, the multi-port intelligent flexible switch can realize the connection between more branches and feeders with the same number of converters and reduce operating loss. © 2023 IEEE.

关键词： economic operation of distribution network intelligent flexible switch control optimize control

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Research on Autonomous Docking control for Underwater Recovery of Unmanned Submersible Vehicles 1

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3rd International conference on Autonomous Unmanned Systems, ICAUS 2023

作者： Ni, Tian Zhang, Lindan Sima, Can Guo, Jia Wu, Haibo China Ship Scientific Research Centre Wuxi China

ISBN: (数字)9789819710959

ISBN: (纸本)9789819710942

This paper puts forward an autonomous docking control method on underwater vision guidance to solve the autonomous control problem of underwater recovery of unmanned submersible vehicles by deep-sea manned submersibles. A docking trajectory rolling generating algorithm is designed based on a polynomial method. The trajectories generated by the algorithm present good smoothness, stability, and real-time performance. Besides, a four-degree-of-freedom docking trajectory tracking controller based on the BP neural network PID self-tuning control method is proposed and the stability of the controller is proved. Simulations show that it has better adaptability, robustness, and dynamic performance than traditional PID controllers. In addition, an autonomous docking control system designed by this method is verified by pool tests. Test results demonstrate that this system has good adaptability and control accuracy under no obvious water-flow conditions, which also suggest that this method is rational and feasible. Conducting pool tests with water-flow interference to verify the robustness of this docking system will be the future work. © Beijing HIWING Scientific and Technological Information Institute 2024.

关键词： Recovery

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