2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)最新文献_第6页

Offline Converter Undisturbed Grid-connected Strategy Based on Virtual Synchronous Generator Control 基于虚拟同步发电机控制的脱机变流器无干扰并网策略

2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC) Pub Date : 2021-11-21 DOI: 10.1109/APPEEC50844.2021.9687793

Jiazhu Xu, Z. Liang

引用次数: 0

Retrofitting of Conventional Two-wheelers to Electric Two-Wheelers 将传统两轮车改装为电动两轮车

2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC) Pub Date : 2021-11-21 DOI: 10.1109/APPEEC50844.2021.9687799

N. Kumar, N. M, Allan Joseph

引用次数: 2

A Segmentation Method for PV Modules in Infrared Thermography Images 红外热成像图像中光伏组件的分割方法

2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC) Pub Date : 2021-11-21 DOI: 10.1109/APPEEC50844.2021.9687630

Zhen Xu, Yu Shen, Kanjian Zhang, Haikun Wei

{"title":"A Segmentation Method for PV Modules in Infrared Thermography Images","authors":"Zhen Xu, Yu Shen, Kanjian Zhang, Haikun Wei","doi":"10.1109/APPEEC50844.2021.9687630","DOIUrl":"https://doi.org/10.1109/APPEEC50844.2021.9687630","url":null,"abstract":"In recent years, the installation of photovoltaic (PV) plants has increased rapidly worldwide. The installation in China account for a large proportion in global market. The maintenance of PV modules is very important for their efficiency and stability. Simultaneously, fault detection becomes an important issue. Nowadays, the infrared thermography (IRT) technology is widely used for hotspot detection. Compared with manual inspection, the use of unmanned aerial vehicles (UAVs) can improved work efficiency greatly in large-scale PV plants. The IRT images processing of PV modules is important for hotspot detection. Without the segmentation of PV modules, the hotspot location cannot be determined. This paper proposed a method to analyze IRT images to acquire segmentation. The MATLAB function findpeaks is used to find the points on the boundaries and density-based spatial clustering of applications with noise (DBSCAN) algorithm is used to cluster these points. This paper shows experimental results for 1211 IRT images collected by the UAVs. The proposed method is more accurate and robust than Sobel and Canny algorithms in edge detection. Moreover, quantitative evaluation is used to assess our method. The average quality is 0.9206, which indicates the method performs well in segmentation.","PeriodicalId":345537,"journal":{"name":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115656276","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

Short-Term Solar and Wind Generation Forecasting for the Western Region of India 印度西部地区短期太阳能和风能发电预测

2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC) Pub Date : 2021-11-21 DOI: 10.1109/APPEEC50844.2021.9687683

Dhwani Panjwani, Sanket Barhate, Rahul Rane, A. Pandey, Faruk Kazi

引用次数: 2

Implementation of Soft Computing Techniques to Evade Partial Shading Effects for PV Based Off-Grid System 逃避光伏离网系统部分遮阳效应的软计算技术实现

2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC) Pub Date : 2021-11-21 DOI: 10.1109/APPEEC50844.2021.9687716

Ashish Grover, A. Khosla, D. Joshi, Vrince Vimal

{"title":"Implementation of Soft Computing Techniques to Evade Partial Shading Effects for PV Based Off-Grid System","authors":"Ashish Grover, A. Khosla, D. Joshi, Vrince Vimal","doi":"10.1109/APPEEC50844.2021.9687716","DOIUrl":"https://doi.org/10.1109/APPEEC50844.2021.9687716","url":null,"abstract":"Awareness regarding the clean environment and increased demand for energy encourages generating power from natural sources. Among all the renewable sources available, generation from solar technology is rapidly growing to meet the energy requirements for various applications due to its ubiquity, sustainability, and plenty of availability. According to the global PV market, 594 GW capacity of PV was installed worldwide in 2019 by replacing the conventional source-based generation plants. However, the main challenge involved in PV generation is to evaluate the Maximum power from the available tracking techniques. Another major complication in the solar array is the non-uniformity of radiations on the PV panel, which descends its performance and is termed partial shading. The partial shading effect on PV Array gives subsequent power loss. The consequences of shading effects are multiple peaks in P-V characteristics that are not deluded using a conventional method such as P & O or Incremental conductance methods. The paper presents ways to overcome the partial shading effect, which involves reconfiguring PV panels and reducing the power disparity evolutionary algorithm particle swarm optimization (PSO) to attain P-V Curves' peak power point","PeriodicalId":345537,"journal":{"name":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129149313","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

Rooftop Solar-Based EV Charging in India: A Techno-Economic Comparison 印度屋顶太阳能电动车充电:技术经济比较

2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC) Pub Date : 2021-11-21 DOI: 10.1109/APPEEC50844.2021.9687758

Ammu Susanna Jacob

{"title":"Rooftop Solar-Based EV Charging in India: A Techno-Economic Comparison","authors":"Ammu Susanna Jacob","doi":"10.1109/APPEEC50844.2021.9687758","DOIUrl":"https://doi.org/10.1109/APPEEC50844.2021.9687758","url":null,"abstract":"Decentralised renewable energy resources for electric vehicle (EV) charging pave the way for green mobility. In this paper, we analyse different rooftop solar-based EV charging station (EVCS) configurations. The configurations are designed with and without battery storage and grid connection. A techno-economic framework is developed based on the power flow interactions between rooftop photovoltaic (RTPV), grid, and battery storage to calculate the life-cycle costing of the system and life-cycle cost of energy (LCOE). The results of the techno-economic model suggest that an adequate size of RTPV reduces the LCOE as compared to a purely grid-connected EVCS. Adding a small battery storage unit to this configuration increases the LCOE by 1.3-1.6 /kWh. Additionally, this configuration yields more revenue from the grid due to higher net export. However, an off-grid rooftop solar-based EVCS with battery storage is more expensive due to reliability concerns about the oversizing of the battery. The techno-economic framework and the resultant LCOE comparisons done in the Indian context will help developers make informed choices to enable green mobility.","PeriodicalId":345537,"journal":{"name":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","volume":"215 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121939682","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

Permanent Magnet Synchronous Motor (PMSM) Drive for a Solar Water Pumping System Using Hybrid PI Controller 基于混合PI控制器的永磁同步电机驱动太阳能水泵系统

2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC) Pub Date : 2021-11-21 DOI: 10.1109/APPEEC50844.2021.9687699

A. Varghese, Manju B

{"title":"Permanent Magnet Synchronous Motor (PMSM) Drive for a Solar Water Pumping System Using Hybrid PI Controller","authors":"A. Varghese, Manju B","doi":"10.1109/APPEEC50844.2021.9687699","DOIUrl":"https://doi.org/10.1109/APPEEC50844.2021.9687699","url":null,"abstract":"This paper discusses design and simulation results of the Hybrid Proportional Integral (PI) controller for a permanent magnet synchronous motor (PMSM) driving a solar water pumping system[1]. The proportional Integral (PI) controller is the most commonly used controller for vector control of the ac motor. The main disadvantages of PI controller are high starting overshoot, sensitivity to controller gains, and sluggish response to sudden disturbances. This paper uses a Hybrid PI controller which is a combined form of the PI controller and fuzzy logic controller (FLC). The FLC has advantages over conventional controllers, such as cheaper to develop, covering a wider range of operating conditions, and more readily customizable in natural language terms. So the proposed controller has combined advantages of FLC and PI. In the proposed method, FLC processes the speed error and the output is given to the PI for controlling the speed. A solar photovoltaic array is used to convert solar energy to electrical energy and this energy is used to rotate the PMSM to pump water. A $3phi$ voltage source Inverter (VSI) is used to rotate the PMSM and a boost converter are used to track the solar PV array's maximum power point using a P&O algorithm. The software used is MATLAB/Simulink.","PeriodicalId":345537,"journal":{"name":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123713565","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

Analysis of An Abnormal Overcurrent Phenomenon of Fault Ride-Through of Virtual Synchronous Generator 虚拟同步发电机故障穿越异常过流现象分析

2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC) Pub Date : 2021-11-21 DOI: 10.1109/APPEEC50844.2021.9687816

Zhangtao Jin, Feng Zhao, Zhikang Shuai

引用次数: 0

Mathematical Modeling of Ultra-Lift Luo Converter Under Non-Ideal Scenario 非理想工况下超升力罗变流器的数学建模

2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC) Pub Date : 2021-11-21 DOI: 10.1109/APPEEC50844.2021.9687696

A. Sahoo, N. Patel, N. Gupta, M. Hashmi, P. Jamwal

引用次数: 2

Machine Learning Based Intrusion Detection System for Real-Time Smart Grid Security 基于机器学习的智能电网实时安全入侵检测系统

2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC) Pub Date : 2021-11-21 DOI: 10.1109/APPEEC50844.2021.9687802

Puja Sen, S. Waghmare

{"title":"Machine Learning Based Intrusion Detection System for Real-Time Smart Grid Security","authors":"Puja Sen, S. Waghmare","doi":"10.1109/APPEEC50844.2021.9687802","DOIUrl":"https://doi.org/10.1109/APPEEC50844.2021.9687802","url":null,"abstract":"The main objective of this paper is to develop an efficient, scalable, and faster machine learning (ML) based tool for real-time smart grid (SG) security. With the integration of information and communication technologies (ICT), power grid operations have become vulnerable to false data injection attacks. This paper presents an ML-based intrusion detection system (IDS) for smart grid security by developing an intelligent module that uses Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), and Support Vector Machine (SVM) in combination. A two-stage methodology has been proposed for the detection of false data injection attacks in the Smart Grid system. The first stage is responsible for data dimensionality reduction using PCA or LDA, followed by data classification using SVM in the second stage. The proposed intelligent module uses the real-time measurement data retrieved from the phasor measurement units (PMUs) which are assumed to be placed optimally in the power network for grid observability. Upon receiving a fault signal, the protection system checks on the incoming data patterns and compares them with the behaviour of system dynamics. With machine learning algorithms, the incoming fault signal is classified as an actual (real) fault or a false (fake) fault with malicious intentions. The proposed intrusion detection systems have been validated on the three buses and the benchmark IEEE 14 and IEEE 30 bus system.","PeriodicalId":345537,"journal":{"name":"2021 13th IEEE PES Asia Pacific Power & Energy Engineering Conference (APPEEC)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121387069","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