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检索条件"任意字段=3rd International Conference on Optimization and Control with Applications"

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Zoning voltage coordination control method for high proportion distributed photovoltaic power in distribution network 3

Zoning voltage coordination control method for high proporti...

引用

3rd international conference on Energy and Electrical Power Systems (ICEEPS)

作者： Xue, Bing Ge, Yanfeng Li, Chuang Guo, Niankang Ma, Chenglian Huang, Dawei State Grid Liaoning Elect Power Co LTD State Grid Yingkou Power Supply Co Yingkou 115206 Liaoning Peoples R China Northeast Elect Power Univ Key Lab Modern Power Syst Simulat & Control & Ren Minist Educ Jilin 132012 Jilin Peoples R China

ISBN: (纸本)9798350375145;9798350375138

The high penetration of distributed photovoltaic generation into distribution networks has become a major development trend in the future. However, the intermittency and random fluctuations of distributed photovoltaic output have exacerbated voltage violation and fluctuation issues in distribution networks. To address this problem, a distribution network zoning voltage coordination control strategy is proposed. In terms of zoning, voltage sensitivity index information obtained from daily power flow calculations is utilized to analyse and express the impact variation of photovoltaic generation on the voltage of each node. Based on the threshold requirements of voltage variation indices, the zoning of nodes is determined. In terms of zoning voltage coordination control, a strategy of voltage sensitivity control within the partition is adopted, pairing nodes within each partition and utilizing the active and reactive regulation capabilities of photovoltaic generation to control all over-limit voltage within normal range. Furthermore, through the interval distributed voltage coordination control strategy, the interval state variables are equivalenced, and based on the SADMM algorithm, the dynamic reactive power compensation amount between adjacent partitions is optimized to achieve the optimization and suppression of network-wide voltage fluctuations. Taking the IEEE 33-node system as an example, a case study was conducted to verify the effectiveness and feasibility of the proposed strategy in practical applications.

关键词： distributed photovoltaic distribution network zoning control voltage violation voltage fluctuation

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Optimizing Hybrid Energy Storage in Offshore Wind Farms with a Focus on Extending Storage Life 3

Optimizing Hybrid Energy Storage in Offshore Wind Farms with...

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3rd conference on Fully Actuated System Theory and applications (FASTA)

作者： Chen, Yuwei Wang, Tong Ni, Jiahua Li, Hongke Yang, Fei Wang, Yiheng Powerchina Huadong Engn Corp Renewable Energy Inst Hangzhou 311122 Peoples R China Hangzhou City Univ Sch Informat & Elect Engn Hangzhou 310015 Peoples R China Zhejiang Univ Coll Elect Engn Hangzhou 310027 Peoples R China

ISBN: (纸本)9798350373707;9798350373691

This paper presents an innovative approach to optimizing hybrid energy storage systems (HESS) in offshore wind farms, with a particular focus on extending the storage's lifetime. We introduce a novel optimization model that integrates the complexities of offshore wind energy generation with the dynamic characteristics of multiple energy storage technologies. The model aims to maximize the efficiency and reliability of energy storage by effectively balancing the load between different storage units, thereby mitigating the degradation of storage components and prolonging their operational *** results demonstrate that our optimized HESS not only improves the overall performance of offshore wind systems but also significantly reduces the long-term operational and maintenance costs by extending the storage units' lifetime.

关键词： Hybrid Energy Storage optimization Offshore Wind Farms Extending Storage Life

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Big Data Analysis and applications in international Trade: Decision optimization Based on Intelligent Algorithms 3

Big Data Analysis and Applications in International Trade: D...

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3rd IEEE World conference on Applied Intelligence and Computing, AIC 2024

作者： Yang, Wenwen Jiangxi College of Foreign Studies Nanchang330096 China

ISBN: (纸本)9798350384598

In the field of international trade, due to its wide range and complex interest relations, it is necessary to synthesize various information for analysis and decision-making. However, traditional data processing methods have been unable to meet the needs of enterprise development. As a new, efficient, safe and reliable solution, large database technology has been widely used in various fields and achieved good results. The purpose of this paper is to discuss and study the cross-department collaboration problem driven by intelligent algorithm through application examples. This paper first introduces the basic concepts, characteristics and relevant theoretical basis of inter-departmental collaboration. By studying the application of intelligent algorithms in interdepartmental collaboration, effective decision support tools are provided to deal with the complex situations in international trade. After that, this paper conducts a simulation test on the intelligent algorithm-driven decision optimization model, and the test results show that the test range of this model for the risk-return rate in trade is 0.04-0.09. © 2024 IEEE.

关键词： big data analysis decision optimization intelligent algorithms international trade

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Research on Bicycle Motion control Based on Reinforcement Learning 3

Research on Bicycle Motion Control Based on Reinforcement Le...

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3rd international conference on Service Robotics, ICoSR 2024

作者： Deng, Hang Chen, Xiai Dong, Mingze Yang, Jongkun College of Mechanical and Electrical Engineering China Jiliang University Hangzhou China

ISBN: (纸本)9798350367119

This paper presents a study on the control of unmanned bicycle motion based on inertial wheels in the pybullet physics simulation environment. To address the nonlinear and strongly coupled nature of unmanned bicycles, the Proximal Policy optimization deep reinforcement learning algorithm is employed in this study to achieve stable motion control of the bicycle. Two sets of independent reward functions are designed for balancing and path tracking of the unmanned bicycle to improve control effectiveness. Simulation results demonstrate that the designed control strategy can effectively maintain the balance of the unmanned bicycle and accurately track the desired path. This research provides a novel approach and insight into the intelligent control of unmanned bicycles, showcasing the application potential of reinforcement learning-based motion control in highly complex systems. © 2024 IEEE.

关键词： Deep reinforcement learning

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Research on Frequency control and optimization of Power Grid Auxiliary Load for Diversified Vehicle Network Interaction 3

Research on Frequency Control and Optimization of Power Grid...

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3rd international conference on Energy and Electrical Power Systems (ICEEPS)

作者： Dong, Jinxi Qin, Jianzhong Ling, Long Lin, Xiaoming Chen, Peilu Meng, Feng Guangxi Power Grid Co Ltd Liuzhou Power Supply Bur Liuzhou Peoples R China CSG Elect Power Res Inst Guangzhou Peoples R China

ISBN: (纸本)9798350375145;9798350375138

With the transformation of global energy structure and the rapid development of intelligent transportation system, the interaction between power grid and vehicle network has become a research hotspot. Especially the popularization of electric vehicles (EVs) and the progress of smart grid technology play a key role in maintaining the stable operation of power grid, optimizing energy distribution and improving the reliability of power system. The purpose of this study is to deeply discuss the frequency control and optimization of auxiliary load in power grid under the background of diversified vehicle-network interaction, and put forward effective control strategies through analysis and research. The research methods include establishing a fusion model of power grid and vehicle network, proposing an auxiliary load control strategy based on vehicle battery and fleet scheduling, and using MATLAB/Simulink for simulation analysis. Through simulation analysis, the effectiveness of the proposed strategy is verified, including adjusting the charging and discharging behavior of EV to stabilize the power grid frequency, optimizing the dispatching plan of bus fleet to improve the power grid frequency stability and so on. It is of great theoretical and practical significance to study the frequency control and optimization of auxiliary load in power grid for diversified vehicle-network interaction. The strategies and methods put forward in this study not only help to improve the stability and efficiency of power grid, but also help to promote the further development of intelligent transportation system and contribute to the realization of energy saving, emission reduction and sustainable development goals.

关键词： Vehicle Network Interaction Power Grid Auxiliary Load Frequency control and optimization

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Real-Time Evaluation and Automatic Generation control of High-proportion Renewable Energy Virtual Power Plant 3

Real-Time Evaluation and Automatic Generation Control of Hig...

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3rd international conference on Energy, Power and Electrical Technology, ICEPET 2024

作者： Yuan, Mengtong Xia, Yanghong Bo, Yaolong Chen, Tieyi Jiang, Wei Wei, Wei Zhejiang University College of Electrical Engineering Hangzhou China State Grid Zhejiang Xinxing Technology Co. Ltd Hangzhou China

ISBN: (纸本)9798350352658

With the increasing integration of renewable energy sources in virtual power plant (VPP), maintaining the real-time frequency at the desired level becomes a challenge. To solve this problem, this paper presents a novel real-time evaluation and an automatic generation control (AGC) method to improve the dynamic performance and flexibility of VPP. The method includes the real-time evaluation system for flexible resources, the multi-objective optimization for AGC command allocation, and the threshold updating algorithm based on the optimization results. This method can effectively improve the regulation performance while minimizing frequency regulation costs and ensuring effective management of stochastic power disturbances. © 2024 IEEE.

关键词： automatic generation control multi-objective optimization real-time evaluation renewable energy virtual power plant

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Facial Recognition-Based Automated Access control System 3

Facial Recognition-Based Automated Access Control System

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3rd international conference on Disruptive Technologies, ICDT 2025

作者： Deshpande, Uday Vaibhav Titarmare, Sharvil Manoj Bais, Ashvini Wyawahare, Nikhil Kalbande, Kamlesh Nagpur India G H Raisoni College of Engineering Nagpur India G H Raisoni College of Engineering Nagpur India

ISBN: (纸本)9798331519582

Facial recognition technology now days is used to identify or verify individuals based on their facial features. It works by analysing key facial landmarks and comparing them with a stored database of images. In this paper system based on facial recognition technology for secure and easy access control applications is proposed. The system uses a 12-volt solenoid lock, a relay module, and an ESP32-CAM module, wherein the integration and programming are done using Arduino IDE software. The ESP32-CAM module captures the facial images, then processes them to recognize the authorized people to allow or deny access. This method negates the importance of physical keys and cards, thus lowering the risk of lost or stolen credentials. Thus, recognition accuracy, response time, and reliability are a few of the bases for evaluating the performance of such a system, showing good potentials for practical applications in a variety of security-sensitive environments. © 2025 IEEE.

关键词： Relay control systems

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A Hybrid optimization Strategy for k-Coverage Maximization in Wireless Sensor and IoT Networks 3

A Hybrid Optimization Strategy for k-Coverage Maximization i...

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3rd international conference on Intelligent Systems, Advanced Computing, and Communication, ISACC 2025

作者： Manna, Prithwish Majumder, Sudipta Singh, N. Hemarjit Dibrugarh University Dept. of CSE DUIET Assam Dibrugarh India Dibrugarh University Dept. of ECE DUIET Assam Dibrugarh India

ISBN: (纸本)9798331523893

In this paper, we propose a combination of Genetic Algorithm (GA) and Particle Swarm optimization (PSO) to create a hybrid optimization technique which meets k-coverage criteria in Wireless Sensor Network (WSN) and Internet of Things (IoT). The goal of this approach is to increase the coverage area alongside minimizing the deployment cost of the sensors. Another aim is to reduce the power consumption. This technique is helpful to determine the optimal position of the sensors. It helps to ensure that each target point in the network is getting the coverage of at least k sensors. In this way we can enhance the reliability and robustness of the network. From experimental results, we can conclude that with optimal sensor utilization and minimized redundancy, our proposed approach achieves 97.14% coverage ratio with k-coverage equals 3. According to performance metrics, it is clear that there is consistent energy efficiency through the cycles. The approach converges in less than 3 second. So, this approach is applicable for real time applications. It is a hybrid metaheuristic approach which is very efficient in managing various challenges associated with sensor deployment. From this approach we can get solutions of coverage enhancement, energy efficiency and improved sensor utilization. © 2025 IEEE.

关键词： Particle swarm optimization (PSO)

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Prediction and optimization of Power Grid Cross Section Exceeding Limits based on Generative Adversarial Networks 3

Prediction and Optimization of Power Grid Cross Section Exce...

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3rd international conference on Integrated Circuits and Communication Systems, ICICACS 2025

作者： Li, Bao Su, Yinsheng Zhou, Xin Zhao, Ligang Zhen, Hongyue Xu, Yuan Power Dispatch and Control Center China Southern Power Grid Guangdong Guangzhou China Power Dispatch and Control Center China Southern Power Grid Guangdong Guangzhou China

ISBN: (纸本)9798331508456

Exceeding the cross-sectional power limit of the power grid poses significant risks to the safety and stability of power system operations. Traditional prediction methods based on models and historical data face challenges in accurately capturing the nonlinear characteristics of power grids under complex environments. This study proposes a novel method using Generative Adversarial Networks (GANs) to predict and optimize cross-sectional power violations. GANs are utilized to train a generator network to learn the distribution of power grid operation data and simulate realistic scenarios, combined with a discriminator network in an adversarial framework to enhance prediction accuracy. Additionally, a power optimization scheduling strategy is developed to minimize the probability of exceeding limits using the prediction results. Experimental findings reveal that the GAN model significantly outperforms ARIMA and ANN models in cost optimization, achieving an average reduction of 1919 yuan/month and a maximum of 1984 yuan/month. These results demonstrate the superior performance of GAN models in predicting and optimizing power grid operations. © 2025 IEEE.

关键词： Discriminators

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

2024 3rd International Conference on Aerospace and Control E...

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

The proceedings contain 116 papers. The topics discussed include: a MBSE-based architect design approach for satellite constellations;a multi-missile cooperative coverage guidance strategy based on the ISO algorithm;a study of flap torque tube design and installation;design and validation of rotor mode control for a tilt-wing aircraft;data processing system design methodology for high-orbit remote sensing satellites;trajectory planning and guidance design for the automatic landing phase of reusable launch vehicle;aerodynamic configuration parametrization and optimization of high-speed gliding vehicle;a design of an on-orbit assembly program for large antennas;design and implementation of main generator multifunctional ground test device for civil aircraft;and analysis of the effect of launch area gravity disturbance on spacecraft guidance accuracy.

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