2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON)最新文献_第2页

A Comparative Study Between PID and Fuzzy Controller PID与模糊控制器的比较研究

2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON) Pub Date : 2021-01-08 DOI: 10.1109/ODICON50556.2021.9428994

Sonali Satpathy, A. P. Biswal

引用次数: 2

TLBO Based CC-PID-TID Controller for Load Frequency Control of Multi Area Power System 基于TLBO的CC-PID-TID多区域电力系统负荷频率控制

2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON) Pub Date : 2021-01-08 DOI: 10.1109/ODICON50556.2021.9429022

S. Pahadasingh

{"title":"TLBO Based CC-PID-TID Controller for Load Frequency Control of Multi Area Power System","authors":"S. Pahadasingh","doi":"10.1109/ODICON50556.2021.9429022","DOIUrl":"https://doi.org/10.1109/ODICON50556.2021.9429022","url":null,"abstract":"This study discloses the design of a cascade controller to control the frequency and power interchange among control areas. Teaching learning based optimization (TLBO) algorithm is functional in three area thermal-hydro system to attain the constraints of cascaded-tilt integral derivative (CC-TID) controller. The recommended controller is the synchronization of both conventional and fractional-order calculus to minimize the error. Here, TID controller applied in primary loop to retain steadiness between generation and demand whereas proportional-integral-derivative (PID) controller applied as supplementary loop to control the frequency and tie-line power deviations. Routines of CC-PID-TID controller are achieved by using an objective function as integral of time multiplied absolute error (ITAE). Preeminence of this controller is verified by concerning the outcomes with lately available methodology such as cascade PI-TID controller for three area system employing same objective function. Furthermore, the performance of TLBO is assessed and related with differential evolution particle swarm optimization in terms of dynamic behaviours.","PeriodicalId":197132,"journal":{"name":"2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130733196","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: 3

Consideration of Series-Series and Series-Parallel Topology in Perspective of Dynamic Resonant Inductive Coupling Based Wireless Charging 基于动态谐振电感耦合的无线充电中串串联和串并联拓扑的考虑

2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON) Pub Date : 2021-01-08 DOI: 10.1109/ODICON50556.2021.9428953

Sushree S Biswal, D. P. Kar, S. Bhuyan

引用次数: 2

PIλ-PDμController for Suppression of Limit Cycle in Fractional-Order Time Delay System with Nonlinearities 非线性分数阶时滞系统极限环抑制pi λ- pd μ控制器

2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON) Pub Date : 2021-01-08 DOI: 10.1109/ODICON50556.2021.9428971

B. K. Dakua, B. B. Pati

引用次数: 1

Budget and Experience Based Travel Planner Using Collaborative Filtering 使用协同过滤的基于预算和经验的旅行计划器

2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON) Pub Date : 2021-01-08 DOI: 10.1109/ODICON50556.2021.9428978

Gokul Krishna M, M. Haseeb, Mohammed Siyad B, P.A Mohamed Zameel, S. Raj

{"title":"Budget and Experience Based Travel Planner Using Collaborative Filtering","authors":"Gokul Krishna M, M. Haseeb, Mohammed Siyad B, P.A Mohamed Zameel, S. Raj","doi":"10.1109/ODICON50556.2021.9428978","DOIUrl":"https://doi.org/10.1109/ODICON50556.2021.9428978","url":null,"abstract":"Travellers in the modern era face many challenges. Budget and time are the major constraints for a traveller. So a good travel plan should be satisfying these constraints and provide maximum enjoyment to the traveller. The proposed ‘Budget and Experience-based Travel Planner’ allows a traveller to create a travel plan that satisfies the above-mentioned constraints as well as other factors such as the experience of the traveller. The collected data from different sources are filtered and places that have missing fields that are relevant such as tags, district, coordinates, rating, reviews, etc are removed along with places having irrelevant tags. After filtering, the database contains over 600 destinations with 77 unique tags. Using suitable machine learning algorithms considering the constraints, the recommendation engine recommends places. We have created a routing algorithm which minimizes the distance covered to reach the different destinations considering the various cases that could happen. Suitable algorithms are used for scheduling the travel itinerary. The time, budget and destination are provided by the user and a suitable travel plan is provided back to the user.","PeriodicalId":197132,"journal":{"name":"2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128757805","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

SOS-ELM based Prediction Model for Electrical Load Forecasting 基于SOS-ELM的电力负荷预测模型

2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON) Pub Date : 2021-01-08 DOI: 10.1109/ODICON50556.2021.9428957

Jugajyoti Sahu, Priyambada Satapathy, P. Mohanty, B. K. Sahu, M. Debnath

引用次数: 2

A Modified Least Mean Square Technique for Harmonic Elimination 一种改进的最小均方谐波消除技术

2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON) Pub Date : 2021-01-08 DOI: 10.1109/ODICON50556.2021.9428970

Buddhadeva Sahoo, S. Routray, P. Rout

引用次数: 2

Design and Development of Arduino Based Portable Air Quality Monitoring Systems 基于Arduino的便携式空气质量监测系统的设计与开发

2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON) Pub Date : 2021-01-08 DOI: 10.1109/ODICON50556.2021.9428954

Shubhajit Vishwas, Sayantani Saha, Monali Nath Bhowmik, Amitabha Nath, S. Kundu, S. Pradhan, M. Sarkar

引用次数: 2

Battery SOC Estimation Using extended Kalman Filter and ANN with Measurement of Noise 基于扩展卡尔曼滤波和带有噪声测量的神经网络的电池荷电状态估计

2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON) Pub Date : 2021-01-08 DOI: 10.1109/ODICON50556.2021.9428988

Pathan Mayeen Avez, S. Swetha, Satish Kumar Gudey SMIEEE

{"title":"Battery SOC Estimation Using extended Kalman Filter and ANN with Measurement of Noise","authors":"Pathan Mayeen Avez, S. Swetha, Satish Kumar Gudey SMIEEE","doi":"10.1109/ODICON50556.2021.9428988","DOIUrl":"https://doi.org/10.1109/ODICON50556.2021.9428988","url":null,"abstract":"Estimation of State of charge (SOC) has always been the crucial segment of battery management system (BMS). However, SOC cannot be determined accurately, it can only be estimated. In this work, an electrical equivalent circuit of the Li-Ion polymer battery of rating 11.5 Ah based on Randel's model has been simulated in MATLAB using the results obtained from a practical model. The non-linear nature of the battery is considered with the model dependent on State of Charge (SOC) and temperature variations. In this paper, Extended Kalman Filter (EKF) algorithm and an Artificial Neural Network (ANN) algorithm have been employed for SOC estimation. Through EKF method, the simulation results show that the error is less than one percent between true SOC and estimated SOC. Through ANN algorithm, when properly trained with sufficient training data - Neural Network consisting of a single layer is capable of adequately appropriating the non-linear characteristics of a battery. It is found that at 271 epochs, it is able to achieve an error as low as 0.010291 where SOC values are varied from 0 to 1. These methods are equally applicable to other battery models.","PeriodicalId":197132,"journal":{"name":"2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121446758","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: 1

LFC Investigation with SHO tuned 1 Plus Fraction ID Controller 基于SHO调优1 +分数ID控制器的LFC研究

2021 1st Odisha International Conference on Electrical Power Engineering, Communication and Computing Technology(ODICON) Pub Date : 2021-01-08 DOI: 10.1109/ODICON50556.2021.9429008

J. Padhi, M. Debnath, S. Kar

引用次数: 1