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Kaiser Self-convolution Window Harmonic Analysis Algorithm for distributed Photovoltaic Power Generation Signal Processing 4

Kaiser Self-convolution Window Harmonic Analysis Algorithm f...

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4th international conference on Intelligent Power and systems, ICIPS 2024

作者： Qiu, Xinyu Hu, Kangmin Diao, Yinglong Long, Zhaozhi Li, Wenting Fan, Jiawei Wang, Zhehao State Grid Jiangsu Electric Power Co. Ltd. Nanjing China Wuhan Branch China Electric Power Research Institute Wuhan China Wuhan Branch China Electric Power Research Institute Yichang China

ISBN: (纸本)9798331532765

the spectrum is complex and the interference is serious when there are non-integer inter-harmonics. Aiming at this, a fourth-order Kaiser self-convolution window function obtained by convolution operation is proposed. Because of its characteristics, it can improve frequency resolution and reduce spectrum interference. At the same time, the spectral phase difference correction method is used to reduce the fence effect and reduce the amount of calculation. the simulation example analysis shows that the algorithm can accurately measure the harmonic and interharmonic parameters, has high measurement accuracy, and has certain anti-frequency interference. © 2024 ieee.

关键词： Harmonic analysis

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Research on Dynamic Decoupling Algorithm of Six-axis Force sensor based on Space Partition 4

Research on Dynamic Decoupling Algorithm of Six-axis Force S...

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4th ieee international conference on Power, Intelligent computing and systems, ICPICS 2022

作者： Chen, Changjun Xiliang, Chen Zhejiang Sci-Tech University Hangzhou China Taizhou University Taizhou China

ISBN: (数字)9781665467735

ISBN: (纸本)9781665467735

Aiming at the decoupling problem of the calibration of the six-axis force sensor, the coupling relationship is established according to the calibration experiment results of the six- axis force sensor. the basic principle of least square method and space partition decoupling algorithm is introduced. According to the algorithm principle, the calibration matrix is calculated by calibration data. the decoupling algorithm is used to decouple the calibration matrix, and finally the decoupling calibration matrix is obtained and verified. the results demonstrate the effectiveness of the proposed decoupling algorithm. © 2022 ieee.

关键词： Calibration

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2024 4th international conference on Energy Engineering and Power systems, EEPS 2024

2024 4th International Conference on Energy Engineering and ...

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4th international conference on Energy Engineering and Power systems, EEPS 2024

ISBN: (纸本)9798350366914

the proceedings contain 273 papers. the topics discussed include: a distributed energy storage capacity balanced scheduling method for parks considering carbon assets;research on totem-pole power factor correction based on sliding mode control;research on the design and application of sampling circuits for deep learning-based leakage detectors;research on photovoltaic output prediction based on deep learning and feature mining;extra/ultra-high voltage AC filter circuit breaker pre-insertion resistors state evaluation based on wavelet decomposition and TLS-ESPRIT;design of sensorless control for PMSM based on improved super-twisting sliding mode model reference adaptive system observer;new energy prediction method under the influence of meteorological factors based on generative ai;photovoltaic power generation prediction for market operation base on multi-scale temporal convolutional network;and large grids multi-level and multi-type dynamic reactive power compensation layout.

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A distributed secondary microgrid control strategy against FDIAs based on virtual layer networks 4

A distributed secondary microgrid control strategy against F...

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4th international conference on New Energy and Power Engineering, ICNEPE 2024

作者： Wang, Wei Xu, Jingjing Liu, Dan Li, Haoyu Li, Yutong Jiang, Yu Pu, Shengri State Grid Liaoning Electric Power Co. Ltd Liaoyang Electric Power Supply Company Liaoning China

ISBN: (纸本)9798331516086

Microgrid systems based on distributed control are more dependent in terms of communication networks, and the systems are vulnerable to False Data Injection Attacks (FDIAs) to destroy the authenticity of their internal data. In this paper, a distributed secondary control strategy for microgrids against FDIAs is built. the method contains an attack elimination algorithm for the controller constant value attack and a microgrid distributed secondary control attack suppression algorithm based on virtual layer network. Firstly, the FDIAs models of measurement devices, controllers and communication links are defined based on the microgrid cyber physical system(CPS) model. the impact of FDIAs on traditional distributed secondary control is also analyzed. Secondly, a distributed secondary control algorithm that can effectively eliminate the attack is designed for the case where the controller is subjected to constant value FDIAs. thirdly, a new algorithm with the ability to suppress the attack is constructed for the case where the system devices of distributed secondary control are susceptible to bounded FDIAs. Finally, simulation experiments demonstrate that the method improves the resilience of the microgrid CPS against FDIAs and ensures that the system can still operate safely and stably in the presence of FDIAs, which verifies that the method is more superior and practical. © 2024 ieee.

关键词： defending against attack control false data injection attack microgrid

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Node Density Optimization in Wireless sensor Networks with LEACH: PDR and End-to-End Delay Analysis 4

Node Density Optimization in Wireless Sensor Networks with L...

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4th international conference on Advancement in Electronics and Communication Engineering, AECE 2024

作者： Kshirsagar, Janhavi Sonaje, Vaibhav Sandip University India Csa Sandip University India

ISBN: (纸本)9798350364729

this study investigates Wireless sensor Networks (WSNs) optimization using the Low-Energy Adaptive Clustering Hierarchy (LEACH) protocol, focusing on Packet Delivery Ratio (PDR) and End-to-End Delay. WSNs play a crucial role in various applications, but energy conservation is a significant challenge due to limited node resources. Traditional routing methods lead to excessive energy consumption, early node failures, and reduced efficiency. LEACH, by organizing nodes into clusters and selecting cluster heads, addresses these issues. the study emphasizes the impact of the optimal number of nodes on network performance, balancing coverage and energy consumption. It identifies area-specific node densities, offering adaptability to different applications and environments, ultimately contributing to energy-efficient data collection systems across industries. © 2024 ieee.

关键词： Energy utilization

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distributed Power System Simulation and Monitoring Supported by Cloud Technology : A grid optimization scheduling method based on MADRL 4

Distributed Power System Simulation and Monitoring Supported...

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4th international conference on Energy, Power and Electrical Engineering, EPEE 2024

作者： Luo, Hui Zhang, Jie Hu, Yufeng Zhang, Jingyue Guo, Haiping Huang, Libin Csg Key Laboratory for Power System Simulation Electric Power Research Institute China Southern Power Grid Guangzhou China State Key Laboratory of Hvdc Electric Power Research Institute China Southern Power Grid Guangzhou China Guangdong Provincial Key Laboratory of Intelligent Operation and Control for New Energy Power System Guangzhou China National Energy Power Grid Technology R&d Centre Guangzhou China

ISBN: (纸本)9798331518066

this study explores the optimization of distributed Generation systems (DGS) within a Multi-Agent Deep Reinforcement Learning (MADRL) framework. the focus is on transforming the overall optimization goal of the system into a global reward function and designing local rewards adapted to heterogeneous agents. Using the ieee 33 node system as a case study, the impact of power aggregation and load management from photovoltaic systems, energy storage systems, electric vehicle charging facilities, and HVAC systems is analyzed. the results demonstrate that the proposed edge-cloud collaborative framework optimizes resource allocation and scheduling. the cloud platform is capable of integrating data from diverse sources and managing it in a unified manner, thereby coordinating the operations of multiple heterogeneous agents. the scalability and flexibility of cloud technology allow for the dynamic adjustment of computational resources according to demand, ensuring global optimization and the judicious allocation of resources. © 2024 ieee.

关键词： Cloud platforms

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Implementation of AI Collaboration in IOT-Enabled systems for Better Response 4

Implementation of AI Collaboration in IOT-Enabled Systems fo...

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4th ieee international conference on Advance computing and Innovative Technologies in Engineering, ICACITE 2024

作者： Paul, M. Mano Raja Nagar, Mayank Rajan, T. Surulivel Badhoutiya, Arti Singh, K. Ranjith Choubey, Abhishek Nehru Institute of Engineering and Technology Department of Electrical and Electronic Engineering T.N India Ies College of Technology Department of Computer Science & Engineering M.P. Bhopal India Prince Shri Venkateshwara Padmavathy Engineering College Department of Mechanical Engineering TN India Gla University Department of Electrical Engineering Mathura India Karpagam Academy of Higher Education Department of Computer Science India Sreenidhi Institute of Science and Technology ghatkesar Hyderabad Yamnampet India

ISBN: (纸本)9798350360165

Artificial Intelligence (AI)-driven flexible methods play a crucial part in saving resources within the world of Internet about things (IoT)-enabled smart healthcare devices. the tiny size and wireless data sharing capabilities of Body networked sensors (BSNs) have gained significant attention in current medical media technologies. the long-term feasibility of an effective health system hangs on the high vitality economy, communication dependability, and longer battery lives of personal sensing devices. Addressing the necessity to improve sensor-based wearable methods in BSNs across collecting information, healthcare tracking, and analysis, this work presents key advances. Firstly, a groundbreaking framework is suggested to simultaneously improve energy efficiency, storage lifetime, and dependability for smart and interactive healthcare. Secondly, the study proposes an Adaptive Transmission Info Rate (ATDR) method, improving energy usage by changing the active duration of the sense node over the continually changing wireless channel. Additionally, an Adaptable Routing System (SARA) is built, adding a dynamic origin routing system for an efficient in terms of energy and quickest path, breaking from conventional navigation methods. the trial setting uses real-time datasets, showing widespread and cost-effective treatment through smart devices. the results suggest that the proposed methods beat standards in terms of magnified energy savings, improved reliability, and extended battery lifetime for handheld devices. © 2024 ieee.

关键词： Body sensor networks

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distributed Ledger Technology for Decentralized Virtual Traffic Light systems in Sustainable Cities 4

Distributed Ledger Technology for Decentralized Virtual Traf...

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4th international conference on Innovative Practices in Technology and Management, ICIPTM 2024

作者： Raman, Ramakrishnan Arya, Sujata Symbiosis Institute of Business Management Maharashtra Pune India Maharashtra Pune India

ISBN: (纸本)9798350307757

the demand for advanced traffic management systems in smart cities has grown in recent years in response to rising urban populations and the increasing importance of environmental preservation. With the use of the Internet of things (IoT), it investigates how distributed Ledger Technology (DLT) may be implemented in decentralized virtual traffic signal systems. To overcome the drawbacks of conventional traffic light regulation, the suggested approach decentralizes the decision-making process over a set of interconnected devices. Integration of DLT, like blockchain, improves the system's openness, security, and robustness. Connected sensors and actuators in the IoT make it possible to gather and share real-time data, and techniques for traffic management that is both responsive and aware of its surroundings. To improve traffic flow, the virtual traffic light system's decentralized design helps save resources and lessens the system's overall carbon footprint. this article describes the system's technological architecture, explores its potential advantages, and explains how it may revolutionize urban traffic management for creating smart cities that are both sustainable and resilient. © 2024 ieee.

关键词： Smart city

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the Various Challenges Involved in sensor Based Cloud System to Protect the Data and to Avoid Attacks: A Technical Review 4

The Various Challenges Involved in Sensor Based Cloud System...

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4th ieee international conference on Advance computing and Innovative Technologies in Engineering, ICACITE 2024

作者： Sharon Sophia, J. thakur, Gaurav Kapoor, Monit Bhanu, Sasi Shnain, Ammar Hameed Bhavya, K. University School of Business and Management Bangalore Yeshwanthpur Campus India Uttaranchal University Uttaranchal Institute of Technology Department of Civil Engineering Dehradun248007 India Chitkara University Centre of Research Impact and Outreach Punjab Rajpura140401 India India The Islamic University Najaf Iraq Department of Mathematics Nitte India

ISBN: (纸本)9798350360165

In these studies, we introduce a unique protection framework for the integration of Wireless sensor Networks (WSN) with cloud computing, aimed closer to enhancing statistics-centric programs consisting of far-flung healthcare structures. the framework's cornerstone is a robust, bendy safety version that ensures immoderate-degree information confidentiality, integrity, and terrific-grained get proper of access to control, addressing the important protection demanding situations in WSN-Cloud integration. By the use of a hybrid encryption mechanism that mixes the strengths of symmetric and uneven encryption techniques, our method gives a entire safety answer that protects information during transmission and garage. Furthermore, the version includes an efficient key manipulate gadget, facilitating the dynamic era and relaxed distribution of encryption keys. this contemporary framework is designed to mitigate common safety threats, such as Man-in-the-Middle (MITM) and Denial of Service (DoS) attacks, even as preserving the overall performance and standard performance of the blanketed gadget. Our research offers a massive contribution to securing statistics-centric packages in WSN-Cloud ecosystems, making sure dependable and comfortable facts verbal exchange and get right of entry to for a way off healthcare programs and past. © 2024 ieee.

关键词： Data integrity

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Machine Learning-Based Forest Canopy Height Modeling with Multi-sensor and GEDI Data 4

Machine Learning-Based Forest Canopy Height Modeling with Mu...

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4th international conference on Embedded and distributed systems, EDiS 2024

作者： Noureddine, Benhalima Mounira, Ouarzeddine Boularbah, Souissi Djamal, Bengusmia Faculty of Electrical Engineering Algiers Algeria Bouchaoui Chéraga Algeria

ISBN: (纸本)9798331519872

In our study, we modelled forest canopy height (FCH) using multi sensor data, including Sentinel-1, Sentinel-2, and Global Ecosystem Dynamics Investigation (GEDI - Relative Height (RH98)) Lidar data. We employed advanced machine learning (ML) techniques, specifically Random Forest (RF) and Classification and Regression Trees (CART) for their accuracy, robustness, and effectiveness in handling complex remote sensing data, on the Google Earth Engine (GEE) platform in the Djelfa 'Souariz, Dar Chioukh' Reforestation Region of Algeria by following several phases, beginning with loading the data and proceeding to map the predicted forest canopy height for each model. We have used both statistical metrics, coefficient of determination (R squared), and Root Mean Square Error (RMSE) to evaluate the accuracy of prediction for each model. the RF model indicates that 'Elevation' is the most significant variable, followed by (NIR, Green, and SWIR1) bands,' while the interquartile range (IQR) of the VV polarization 'VV-iqr' has the least impact. It achieves high predictive accuracy with an R2 of 0.899 in training and 0.831 in validation, with RMSE values of 0.6407 m and 0.8036 m, respectively. In comparison, the CART model also highlights Elevation, (SWIR1 and Green) bands, but with slightly lower performance, showing an R2 of 0.865 in training and 0.732 in validation, and RMSE values of 0.7356 m and 1.0442 m, respectively. therefore, the RF model is preferred here for its superior predictive performance. © 2024 ieee.

关键词： Forest ecology

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