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optimization of Transmission Network Structure Based on Deep Neural Networks 3

Optimization of Transmission Network Structure Based on Deep...

引用

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

作者： Zhang, Weiqi Li, Lixin Yu, Yijun China Elect Power Res Inst Power Automat Dept Beijing Peoples R China

ISBN: (纸本)9798350375145;9798350375138

Real-time transmission line switching control is a cost-effective and efficient measure to alleviate line overload. However, due to the nonlinear characteristics of the transmission network structure optimization problem, conventional optimization methods often struggle to find solutions quickly. In recent years, data-driven methods have been widely applied in fields such as power system dispatch optimization. This paper proposes a method based on deep neural networks. By using historical and simulation data of the power system, the neural network is trained to perform exploratory learning and find optimal topology control strategies when line overload occurs. This method is trained and tested on the IEEE 14-bus open-source dataset, and the test results verify its effectiveness.

关键词： deep learning data-driven deep neural networks topology optimization line overload mitigation

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Analysis and optimization of Interleaved Ultra-Boost Converters for Solar PV applications 3

Analysis and Optimization of Interleaved Ultra-Boost Convert...

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3rd IEEE international conference on Power Electronics, Intelligent control and Energy Systems, ICPEICES 2024

作者： Nagar, Vishal Sharma, Aditya Palwalia, D.K. Rajasthan Technical University Department of Electrical Engineering Kota India

ISBN: (纸本)9798350387193

This paper introduces a novel approach in high gain dc to dc ultra boost converter in open loop scheme. The proposed high gain dc-dc converter is based on quadric topology. Two coupled inductors are used which are connected as Parallel-Dual-Leg (PDL) and Interleaved Dual-Stage (ILDS). Through moderate duty cycle maximum output voltage, reduced voltage ripple in load side is achieved and switching losses are reduced compared to conventional boost converters along with faster transient response. A comparative analysis is also presented to validate the potential of the proposed converters. Finally, these Parallel-Dual-Leg Interleaved Dual-Stage (PDL-ILDS) converters are simulated in MATLAB/SIMULINK toolbox to demonstrate the suitability. © 2024 IEEE.

关键词： MATLAB

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Fault Diagnosis for Distributed Systems Based on RF-LGBM 3

Fault Diagnosis for Distributed Systems Based on RF-LGBM

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3rd international conference on Robotics, Artificial Intelligence and Intelligent control (RAIIC)

作者： Qiu, Juncheng Zhou, Ziqi Wang, Haoze Cai, Changchun Hohai Univ Coll Artificial Intelligence & Automat Changzhou Jiangsu Peoples R China

ISBN: (纸本)9798350352634;9798350352627

Distributed systems are critical infrastructures for many enterprises and organizations, yet they also present challenges in fault diagnosis. To improve the efficiency and accuracy of fault diagnosis in distributed systems, this paper proposes a fault diagnosis model based on the RF-LGBM algorithm. The model first utilizes LGBM for initial diagnosis and then employs RF to reclassify the two fault types with lower accuracy. The results indicate that the RF-LGBM model achieves an AUC greater than 0.96, effectively diagnosing faults in distributed systems.

关键词： distributed systems RF-LGBM fault diagnosis Bayesian optimization Gini

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Proceedings - 2024 3rd international conference on Data Analytics, Computing and Artificial Intelligence, ICDACAI 2024

Proceedings - 2024 3rd International Conference on Data Anal...

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3rd international conference on Data Analytics, Computing and Artificial Intelligence, ICDACAI 2024

ISBN: (纸本)9798331519032

The proceedings contain 193 papers. The topics discussed include: visual analysis of artificial intelligence in short video research based on CiteSpace;optimization design of financial shared services based on improved algorithms and artificial intelligence;research on the application of artificial intelligence technology in microelectronics testing and fault diagnosis;artificial intelligence method for v2g oriented power distribution network control strategy and capacity analysis;research on indoor lighting optimization control system based on artificial intelligence algorithm;a model for evaluating the effectiveness of news dissemination under the combination of big data and artificial intelligence;and mechanical and electronic engineering design and control technology under artificial intelligence.

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A Hybrid Strategy Integrating Ant Colony optimization and Locust-Inspired Algorithm (HACO-LA) to Boost Efficiency and Performance in cloud Resource Management 3

A Hybrid Strategy Integrating Ant Colony Optimization and Lo...

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3rd international conference on Power Electronics and IoT applications in Renewable Energy and its control, PARC 2024

作者： Saraswathy, S. Malathi, J. Subiksha, N. LakshmiNarayanan, S. Kumar, K. Sathish Livinesh, L. Sri Sai Ram Engineering College Department of Computer Science and Business Systems Tamilnadu Chennai India Sri Sai Ram Engineering College Department of Computer Science and Engineering Chennai India

ISBN: (纸本)9798350309409

Efficient cloud resource management is vital, as it ensures the accurate selection and allocation of resources to diverse workloads or applications. This entails real-time balancing of workload performance, compliance, and cost to achieve optimization. Since there are many cloud users involved in scheduling tasks, or cloudlets, the scheduling process becomes complex. It involves selecting appropriate data centers, servers (hosts), and virtual machines (VMs). There are several bioinspired algorithms that are effective and popular for solving the NP-complete problem of cloudlet scheduling. By using these algorithms, cloudlets can be efficiently allocated to achieve faster execution times, better resource utilization, and a shorter waiting time. This study presents a hybrid technique that combines the strengths of both ant colony optimization and locust-inspired algorithm (HACO-LA), which have been shown to outperform other bio-inspired algorithms in cloud computing environments. Implementing this technique will lead to a decrease in the average response time, while also increasing the utilization of VMs and servers. The method was evaluated using the Cloud Sim toolbox with authentic data. It was compared to the preexisting Artificial Bee Colony optimization (ABC) algorithm and Particle Swarm optimization (PSO) algorithm. The findings demonstrated that HACO-LA surpassed both methods, leading to notable enhancements in server utilization, increased reliability, and decreased average response time. © 2024 IEEE.

关键词： Ant colony optimization

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An Status-deformation Cooperative control for Morphing Vehicle 3

An Status-deformation Cooperative Control for Morphing Vehic...

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

作者： Zheng, Wenquan Tian, Ye Ye, Saixian Jin, Yihuan Liu, Lu Shanghai Aerosp Control Technol Inst Dept Flight Control Shanghai 201109 Peoples R China

ISBN: (纸本)9798350373707;9798350373691

Morphing vehicles achieve optimal flight performance by changing shape under different flight conditions and missions to meet different mission requirements. In this paper, the variable span vehicle is studied, and the status-deformation cooperative control of the morphing vehicle is developed. The structural deformation of the vehicle is treated as the control input, and the status-deformation cooperative control model is established. Then, a virtual adaptive sliding mode control law is designed and assigned to the actual control inputs by solving the optimization problem. Simulations show that the control algorithm achieves status-deformation cooperative control, Compared to conventional vehicles, morphing vehicle can achieve desired cost function optimization by actively changing the wingspan at different flight phases, reducing fuel or rudder deflection requirements.

关键词： morphing vehicle variable span vehicle adaptive sliding mode control allocation

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Computational Analysis and Performance optimization of Square Membrane Piezoresistive MEMS Pressure Sensor 3

Computational Analysis and Performance Optimization of Squar...

引用

3rd IEEE international conference on Power Electronics, Intelligent control and Energy Systems, ICPEICES 2024

作者： Suresh, M. Singh, Sadanand Rakshit, Nibedita Santhosh, Anirudh Varun Ram, S. Singh, Rishita Vit Bhopal University Seee Bhopal India

ISBN: (纸本)9798350387193

This paper presents the design and simulation of MEMS based piezoresistive pressure sensor for a pressure range of 0.2-1.4 MPa. The study focuses on two distinct models, sharing identical surface areas, device dimension and material properties, with variation's in piezoresistor positioning, for understanding the significance of positioning of sensing element on the diaphragm. The design and the analyzed pressure sensor parameters such as Von-mises stress, deflection, sensitivity and voltage outputs are obtained by using Intellisuite software. Simulation results depicts a remarkable voltage output of 35.25791 mV for the model featuring piezo resistors at corners, in contrast to 4.81223 mV for the model with piezo resistors at edges with 2V input bias at 0.2 MPa. Simulation result thus reveals that positioning of piezoresistor at corners have higher sensitivity in comparison to edges. The observed deflection changes reliably signify applied pressure. The results obtained contribute valuable insights to the optimization of sensor sensitivity, holding potential for significant advancements across diverse applications. © 2024 IEEE.

关键词： Deflection (structures)

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Research and Application of AVC System control Parameter Setting Method Considering Mutual Interference of control Equipment Actions 3

Research and Application of AVC System Control Parameter Set...

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

作者： Ma, Yongfei Wang, Xuebin State Grid Qinghai Elect Power Res Inst Xining Qinghai Peoples R China

ISBN: (纸本)9798350375145;9798350375138

This paper proposes a control parameter setting method for AVC systems that considers the mutual interference of device actions. This method first divides the setting periods of each set of VQC control parameters based on the results of reactive power optimization, and determines the adjustment amount of equipment during each action setting period. Then, combined with the fifteen zone diagram control strategy, considering the possible monitored states and certain margin values of the system caused by different action sequences of other devices before equipment action, the AVC system control parameters considering mutual interference of equipment actions and load curve errors are set to ensure that the control equipment can act according to the strategy obtained from dynamic reactive power optimization. This method has been applied in the 35kV Qieji substation, which has effectively improved voltage quality and reduced the number of transformer tap actions. It has good practical value and application effects.

关键词： AVC parameters setting interfere

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A photovoltaic maximum power point tracking method based on fuzzy improved gravity search algorithm 3

A photovoltaic maximum power point tracking method based on ...

引用

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

作者： Xing, Zheng Chang, Xiaoheng Bohai Univ Coll Control Sci & Engn Jinzhou Peoples R China

ISBN: (纸本)9798350375145;9798350375138

According to the advantages and disadvantages of the existing maximum power point tracking methods, this paper proposes a new maximum power point tracking method by applying the fuzzy control to the gravitational search algorithm, firstly, improve the optimization speed by taking advantage of the fast convergence speed of the gravitational search algorithm, and secondly, set the index of population maturity, and then set the dynamic adjustment strategy for the flight speed of the particles in the solution space by introducing the fuzzy rule after the population reaches a certain maturity level. After the population reaches a certain maturity, by introducing fuzzy rules, the dynamic adjustment strategy of particle flight speed in the solution space is set up. Finally, a simulation model is established by MATLAB/simulink, and simulation analysis is carried out under different lighting environments, and compared with the traditional gravitational search algorithm, which proves the advantages of the improved algorithm in terms of the searching accuracy and speed, as well as a better effect in solving the problem of local optimization.

关键词： maximum power point tracking fuzzy control gravitational search algorithm local optimization

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Ontology-Based optimization Method for Multi-Source Heterogeneous Data Organization in Large Power Grid Planning and Operation Platforms 3

Ontology-Based Optimization Method for Multi-Source Heteroge...

引用

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

作者： Tang, Yingqi Zhao, Ligang Su, Yinsheng Zhou, Baorong Xu, Yuan Huang, Guanbiao Hu, Jiaming Li, Kaihang CSG Elect Power Res Inst State Key Lab HVDC Technol Guangzhou Peoples R China CSG Power Dispatching & Control Ctr Guangzhou Peoples R China South China Univ Technol Sch Elect Power Engn Guangzhou Peoples R China

ISBN: (纸本)9798350375145;9798350375138

The construction of a large power grid planning and operation platform requires the integration and organization of multi-source heterogeneous data. However, the various types of power grid business have differing levels of importance and high demands for timely response, which current data organization methods struggle to meet. This paper proposes an ontology-based optimization method for multi-source heterogeneous data organization in large power grid planning and operation platforms. A mathematical optimization model is constructed, taking into account both business retrieval efficiency and data redundancy. Additionally, the genetic algorithm is improved based on the specific characteristics of this optimization problem. The method proposed in this paper is then applied to integrate data from multiple power software applications. Experimental results show that this method effectively balances data retrieval efficiency and storage space utilization, achieving automated organization optimization of multi-source heterogeneous data for power grid planning and operation.

关键词： multi-source heterogeneous data organization power grid planning and operation optimization ontology improve genetic algorithm

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