2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)最新文献

ICICCSP 2022 Committee

2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP) Pub Date : 2022-07-21 DOI: 10.1109/iciccsp53532.2022.9862385

引用次数: 0

Integration of Battery Swapping Station into Microgrid: A Review 电池交换站与微电网集成的研究进展

2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP) Pub Date : 2022-07-21 DOI: 10.1109/ICICCSP53532.2022.9862466

P. Mohanty, P. Jena, N. Padhy

引用次数: 0

Estimation of Weibull parameters by different methods for assessment of wind energy potential 用不同方法估计风能潜力的威布尔参数

2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP) Pub Date : 2022-07-21 DOI: 10.1109/ICICCSP53532.2022.9862454

Mansi Mangroliya, Sravankumar Jogunuri, D. Vyas

引用次数: 0

Power System Operation and Control: A Data-Driven Approach 电力系统运行与控制:数据驱动方法

2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP) Pub Date : 2022-07-21 DOI: 10.1109/ICICCSP53532.2022.9862029

Parvaiz Ahmad Ahangar, S. A. Lone, Neeraj Gupta

{"title":"Power System Operation and Control: A Data-Driven Approach","authors":"Parvaiz Ahmad Ahangar, S. A. Lone, Neeraj Gupta","doi":"10.1109/ICICCSP53532.2022.9862029","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862029","url":null,"abstract":"Renewable energy is becoming more popular around the world, especially wind power and solar photovoltaic (SPV) systems with data interfaces and IoT sensors that generate significant volumes of data. In addition to serving as a monitoring device, the data provided by such devices can be used to improve system reliability and efficiency by providing real-time data. When compared to traditional model-based operation, data-driven based optimal renewable power operation is an emerging method for ensuring trouble-free power system operation. The data-driven method is effective for studying the impact of rapid distributed generation systems integration on utility power system functioning. In data-driven approach, Machine-learning (ML) is an emerging technology for addressing the optimal functioning power system networks. Data-driven operated distributed energy resources (DER) provide real-time management of our dependable power supply through suitable forecasting methods and hence give rise to the smart grid idea. In this proposed work, our objective is to apply a data-driven based strategy to the smart grid in order to ensure the smooth operation and control of both utility and renewable-rich power system.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125006990","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparative Performance Analysis and Modelling of Tin based Planar Perovskite Solar Cell 锡基平面钙钛矿太阳能电池性能对比分析与建模

2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP) Pub Date : 2022-07-21 DOI: 10.1109/ICICCSP53532.2022.9862399

Aditi Thakur, Dhawan Singh, Satinderjit kaur Gill

{"title":"Comparative Performance Analysis and Modelling of Tin based Planar Perovskite Solar Cell","authors":"Aditi Thakur, Dhawan Singh, Satinderjit kaur Gill","doi":"10.1109/ICICCSP53532.2022.9862399","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862399","url":null,"abstract":"The era of new generation photovoltaics has captivated by the halide perovskites since their first execution, which was just a decade back. In spite of having the exceptional performance, the toxic nature of lead presents severe concerns for their commercialization and risks associated with human health and environment. Comparative analysis and modelling of solar cell with different absorber layers will supplement the current research progress in the field of perovskite solar cell (PSC). In this work, impact of five different perovskites: FASnI3, MASnI3, CsSnI3, CsSnCl3, and MAGeI3 as absorbing material was investigated and CsSnI3 was found to be most efficient among all with maximum power conversion efficiency (PCE). The structure used for inspection is Au/CuI/Perovskite/PCBM/TCO. In the proposed structure the effect of varying absorber layer thickness (AT), defect density and dopant concentration are analyzed. Total defect density (Nt) of HTL/perovskite and perovskite/ETL interface was also varied to investigate its effect on a PSC. This provides base for future research in the field of lead-free PSC.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125860948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 16

Modeling and Analysis of Wind Energy System 风能系统建模与分析

2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP) Pub Date : 2022-07-21 DOI: 10.1109/ICICCSP53532.2022.9862492

Sudheer Medikonda, G. Vanitha, M. Ebraheem

引用次数: 0

SHO Algorithm Based PID Controller for Automatic Generation Control of Multiarea Multiunit Power System With Renewable Energy Source 基于SHO算法的多区域多机组可再生能源电力系统PID自动发电控制

2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP) Pub Date : 2022-07-21 DOI: 10.1109/ICICCSP53532.2022.9862325

Nimai Charan Patel, Sujesh Kumar Yadav, S. Yadav, Partha Sarathi Pradhan

{"title":"SHO Algorithm Based PID Controller for Automatic Generation Control of Multiarea Multiunit Power System With Renewable Energy Source","authors":"Nimai Charan Patel, Sujesh Kumar Yadav, S. Yadav, Partha Sarathi Pradhan","doi":"10.1109/ICICCSP53532.2022.9862325","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862325","url":null,"abstract":"For good quality power delivery to the consumers and maintaining the system stability in an interconnected power system, automatic generation control (AGC) plays a substantial role. This article describes AGC of a multi-area multi-unit interconnected power system (IPS). It consists of three area nine-unit system in which thermal and hydro plants are common in each area and wind, diesel and gas plants are combined in the area 1, area 2 and area 3 respectively. Boiler dynamics (BD), governor dead band (GDB) and generation rate constraint (GRC), are considered to make the system more practical and realistic but due to the introduction of GRC and GDB, the system becomes highly nonlinear. Hence, it becomes a challenging task to stabilize the system against any load disturbance. In this article, proportional-integral-derivative (PID) controller is designed by independently employing particle swarm optimization (PSO) and selfish herd optimization (SHO) algorithm and implemented for AGC of three un-equal area multi-source power system against a load disturbance of 1 % in area 1. It is found that the proposed SHO based PID controller is superior and more effective than the PSO based PID controller in damping out the frequencies and tie-line powers oscillations.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126140348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Performance Improvement of PID Controller for PMSM Using ANFIS Controller 用ANFIS控制器改进永磁同步电机PID控制器的性能

2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP) Pub Date : 2022-07-21 DOI: 10.1109/ICICCSP53532.2022.9862372

Abhishek Saware, Navdeep Gavkar, S. Shinde, Priyanka Kulkarni

引用次数: 0

Differential Protection of Single-Phase Transformer using LabVIEW 基于LabVIEW的单相变压器差动保护

2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP) Pub Date : 2022-07-21 DOI: 10.1109/ICICCSP53532.2022.9862355

Ranjith Kumar Gatla, A. Kumar, P. Sridhar, D. Kumar, D. S. M. Rao

引用次数: 0

Industrial Revolution 4.0: Energy Monitoring and Load Control System 工业革命4.0:能源监测和负荷控制系统

2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP) Pub Date : 2022-07-21 DOI: 10.1109/ICICCSP53532.2022.9862381

Kaushik Ahmed, Mayeen Uddin Emon, Md. Yeasib Bin Hassan, Md. Shamim Hossen, Dewan Mahnaaz Mahmud

{"title":"Industrial Revolution 4.0: Energy Monitoring and Load Control System","authors":"Kaushik Ahmed, Mayeen Uddin Emon, Md. Yeasib Bin Hassan, Md. Shamim Hossen, Dewan Mahnaaz Mahmud","doi":"10.1109/ICICCSP53532.2022.9862381","DOIUrl":"https://doi.org/10.1109/ICICCSP53532.2022.9862381","url":null,"abstract":"This manuscript aims to propose a fourth industrial revolution-based approach to electricity distribution and management systems. The energy meter measures electrical energy, and it is inspected by a person where consumption bills are prepared depending on the meter reading. Most often, the bills are prepared based on the meter reading i.e., manually by hand which tends to be unreliable, expensive, time-consuming, and error prone. Energy meter monitoring using image processing and a computerized billing system is a feasible process that can eliminate conventional meter reading, saves time and money, increase accuracy, prevent electricity theft, and prevent peak hour costs. This manuscript focuses on remote monitoring and controlling of individual loads, energy meter monitoring, forecast analysis depending on industrial electricity consumption, and a digital billing system. Load forecast will help the user further to take managerial decisions. Furthermore, this prototype exhorts the user to turn off the highest energy-consuming load during peak hours and help to reduce peak hour demand as well as the energy cost of the user. Concisely, this system is designed to provide a better, safer, and simpler distribution system to the users and electricity suppliers.","PeriodicalId":326163,"journal":{"name":"2022 International Conference on Intelligent Controller and Computing for Smart Power (ICICCSP)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123037489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0