2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)最新文献_第6页

Advanced Reactive Power Control Technique for Wind Power Application 风电应用中的先进无功控制技术

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641265

Buddhadeva Sahoo, S. Routray, P. Rout, Mohammed M. Alhaider

{"title":"Advanced Reactive Power Control Technique for Wind Power Application","authors":"Buddhadeva Sahoo, S. Routray, P. Rout, Mohammed M. Alhaider","doi":"10.1109/APSIT52773.2021.9641265","DOIUrl":"https://doi.org/10.1109/APSIT52773.2021.9641265","url":null,"abstract":"This study proposes an advanced reactive power control technique (ARPCT) to improve the power quality of grid integrated wind power systems. Looking at the excellent field experience and knowledge of the power operators, recently, FACTS devices are integrated with the existing grid codes to solve undesirable power quality problems. Therefore, to improve the grid stability, high energy quality, protect the system operation and avail better power quality, Statcom based FACTS devices are selected for 9MW wind integrated system application. The proposed model and control technique is developed and simulated through MATLAB/Simulink software. To justify the proposed technique necessity, the Statcom based grid integrated wind energy system performance is compared without Statcom based system application. Moreover, the transient stability of the wind turbine is also tested during the three-phase fault condition (LLG). The proficiency of the modelled regulator and functionality is detailed through theoretical analysis. The compared results indicate the improved results and justify the necessity of the proposed controller.","PeriodicalId":436488,"journal":{"name":"2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120966430","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

Multi-Hop Communication in Wireless Underground Sensor Network 无线地下传感器网络中的多跳通信

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641101

Hitesh Panda, Manoranjan Das, B. Sahu

引用次数: 4

An Enhanced Dynamic Image Watermarking Framework based on Phase Congruency and Saliency 一种基于相位一致性和显著性的增强动态图像水印框架

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641338

Manas Ranian Nayak, Dinak Kumar Sahoo, Jyotiprakash Sahoo, L. M. Satapathy, Prabhu Prasad Dev

引用次数: 0

Analytical Exploration of Stepped Asymmetric Workfunction Modulated Trenched Stack Gate Silicon-on-Insulator MOSFET for Advancement of SCEs 阶梯式非对称工作函数调制沟槽堆叠栅绝缘子上硅MOSFET的分析探索

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641475

Sikha Mishra, Soumva S. Mohanty

引用次数: 0

Study of Harmonics Contribution by Various Types of Loads in a Low Voltage Distribution System and Reduction of Harmonics 低压配电系统中各类负荷的谐波贡献及谐波抑制研究

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641412

S. Biswas, S. Goswami

引用次数: 1

Stability Assesment of a Multiple DG based Microgrid during Islanding Situation with Improved FA 孤岛状态下基于多DG的微电网稳定性评价

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641349

Shaktinarayana Mishra, Shibani Prasad Mohapatra, P. Satapathy, L. Tripathy, S. Chaine, C. S. Tripathy

{"title":"Stability Assesment of a Multiple DG based Microgrid during Islanding Situation with Improved FA","authors":"Shaktinarayana Mishra, Shibani Prasad Mohapatra, P. Satapathy, L. Tripathy, S. Chaine, C. S. Tripathy","doi":"10.1109/APSIT52773.2021.9641349","DOIUrl":"https://doi.org/10.1109/APSIT52773.2021.9641349","url":null,"abstract":"This paper discusses stability assessment for a multiple Distributed Generators (DGs) based microgrid during islanding situation. Various DGs like Wind (WS), Photovoltaic (PV) and Diesel generator (DGN) is integrated in the considered microgird. The overall control design is addressed during the islanding scenario where the optimized solutions are calculated by Modified Firefly Algorithm (MFA). The proposed MFA has improved diversity to calculate the optimal stability in isolated grid condition. With various advanced feature, the MFA helps to converge faster with more accuracy. A Phase Locked Loop (PLL) based control are consider for the Voltage Source Converter (VSC) connected in the PV side and for the back to back converter connected with the wind generator. The overall gain optimization is applied at PV - VSC and the WS-Grid Side Converter (GSC). This improves the dynamic stability of the system by minimizing the error present in the controller during islanding. The effectiveness of the considered technique is verified in terms of power oscillation, stability margin. The results are compared with various other basic techniques.","PeriodicalId":436488,"journal":{"name":"2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126871459","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

Active Power Management in an AC Microgrid Using Artificial Neural Network and DSTATCOM 基于人工神经网络和DSTATCOM的交流微电网有功功率管理

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641304

Devi Prasad Acharya, N. Nayak, S. Choudhury

{"title":"Active Power Management in an AC Microgrid Using Artificial Neural Network and DSTATCOM","authors":"Devi Prasad Acharya, N. Nayak, S. Choudhury","doi":"10.1109/APSIT52773.2021.9641304","DOIUrl":"https://doi.org/10.1109/APSIT52773.2021.9641304","url":null,"abstract":"The evolution of non-renewable energy sources in modern era leads to the perception of Micro Grid (MG). The enormous energy demand of the exponentially increasing population requires alternative energy resources. The distributed resources are eco-friendly and emission less or nonhazardous in nature hence gaining more attention for present as well as future energy mandate. In this aspect the resources like solar, wind, geothermal and fuel cell energy are of prime importance because of their easy accessibility. The distributed and small scale energy production of MGs makes it very difficult for them to be tied and synchronized to utility grid. Further even after the coupling of MG with traditional grid system proper monitoring and maintenance of the power quality is indispensable. In this study the active power (P), reactive power (Q) and the Power Factor (PF) of a grid tied MG system is monitored and maintained with the help of Artificial Neural Network (ANN) trained Distributed Static Compensator (DSTATCOM). The superiority of the ANN is compared with that of traditional fuzzy logic controller (FLC). A brief analysis is executed by the simulation data of the proposed system, for multiple operating circumstances using Matlab/Simulink architecture. The results obtained confirms that the ANN controller is more efficient than FLC for improving the system characteristics in terms of better efficiency, stability, and dynamic response.","PeriodicalId":436488,"journal":{"name":"2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122653011","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: 2

A hybrid approach of Deep Learning Algorithms for Identification of COVID-19 disease using Chest X-Ray Images 基于胸部x线图像的COVID-19疾病识别的深度学习混合方法

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641398

Nour Haj Hammadah, N. Das, Mamata Nayak, T. Swarnkar

{"title":"A hybrid approach of Deep Learning Algorithms for Identification of COVID-19 disease using Chest X-Ray Images","authors":"Nour Haj Hammadah, N. Das, Mamata Nayak, T. Swarnkar","doi":"10.1109/APSIT52773.2021.9641398","DOIUrl":"https://doi.org/10.1109/APSIT52773.2021.9641398","url":null,"abstract":"Machine Learning(ML) algorithms can revolutionize the entire background of the healthcare system and have been used widely to identify diseases efficiently by classifying the image samples. The medical images are created by using visual representations of the interior body parts. ML system computes the distinctive features of the image that are supposed to be very helpful in making decisions regarding the prediction or diagnosis of the disease. It also discovers the best combination of these features that can correctly classify the image. In recent times, deep learning(DL) which is a form of ML mostly being used to analyze medical images for its significant performance in many applications. The DL models can identify the disease from radiology images. In this article some DL algorithms have been used to detect COVID-19 diseased patients from their chest X-ray images(CXR). Three popular convolutional neural networks(CNN) like ResNet, GoogleNet and AlexNet were used to extract features from the dataset. The principal component analysis(PCA) technique was also used which further reduced the dimensions of the dataset. The extracted features were given to the classifiers like SVM and KNN as input in order to identify COVID-19 disease from the images. The proposed method attained an accuracy level of 97.7% with KNN and 98.1% with SVM. The sensitivity and specificity of the model were estimated as 97% and 98% respectively which shows the efficiency of the model for identifying the disease correctly.","PeriodicalId":436488,"journal":{"name":"2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116086307","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

ASSIE: Application of Squirrel Search Algorithm for Information Extraction Problem 松鼠搜索算法在信息抽取问题中的应用

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641165

Rasmita Rautray, Rasmita Dash, Rajashree Dash, Rajendra Kumar Sahoo, Aswasana Pujari, Raunak Kumar Barik, J. Amartya

引用次数: 2

Neutral Clamped Three-level Inverter based Fractional Order Filter Design for Power Quality Advancement 基于中性箝位三电平逆变器的分数阶滤波器的电能质量提升设计

2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT) Pub Date : 2021-10-08 DOI: 10.1109/APSIT52773.2021.9641493

Buddhadeva Sahoo, S. Routray, P. Rout, Mohammed M. Alhaider

{"title":"Neutral Clamped Three-level Inverter based Fractional Order Filter Design for Power Quality Advancement","authors":"Buddhadeva Sahoo, S. Routray, P. Rout, Mohammed M. Alhaider","doi":"10.1109/APSIT52773.2021.9641493","DOIUrl":"https://doi.org/10.1109/APSIT52773.2021.9641493","url":null,"abstract":"This study proposes a novel neutral clamped three-level inverter (NCTI) based fractional order filter (FOF) for multiple solar-PV-based grid integrated microgrid system applications. The proposed NCTI is capable to produce excess voltage levels as compared to the traditional inverter, which improves the power quality (PQ) significantly. In addition to that, FOF is integrated to compute the essential active current element by regulating the distorted grid current and is used for inverter pulse generation. Further, to extract maximum power and obtain an excellent modulation index of the boost converter, an incremental conductance (IC) based maximum power algorithm (MPA) is suggested. Due to the excellent control operation, the grid integrated solar system offers better power quality by reducing the grid voltage and current harmonics as per the IEEE-1541 standards and avail better active and reactive power supply. To justify the effectiveness of the proposed study, the proposed MATLAB/Simulink-based control method findings are related to the traditional integer-order filter results and found improved total harmonic contained as per the IEEE-1541 standards.","PeriodicalId":436488,"journal":{"name":"2021 International Conference in Advances in Power, Signal, and Information Technology (APSIT)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128589538","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: 4