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Intelligent Residential Energy Management via Fuzzy Logic and Smart Load Simulator 基于模糊逻辑和智能负荷模拟器的智能住宅能源管理
2023 International Conference on Power, Instrumentation, Energy and Control (PIECON) Pub Date : 2023-02-10 DOI: 10.1109/PIECON56912.2023.10085804
S. Iqbal, Mohammad Sarfraz, Ali S. Allahloh, Anas Nabi
{"title":"Intelligent Residential Energy Management via Fuzzy Logic and Smart Load Simulator","authors":"S. Iqbal, Mohammad Sarfraz, Ali S. Allahloh, Anas Nabi","doi":"10.1109/PIECON56912.2023.10085804","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085804","url":null,"abstract":"The rapid surge in the usage of automatic electrical appliances and intense early summer heat waves result in a compounded rise in electricity demand. To meet the residential energy demand, distributed energy resources are being used extensively worldwide. Integrating renewable energy sources with the energy management system impacts the consumers and maintains grid sustainability and reliability, preventing brownouts and blackouts. The study aims to minimize energy consumption and cost at consumers’ premises without hindering their comfort. We have used fuzzy logic to control the HVAC system’s setpoint temperature and a Matlab-based smart load simulator to observe and compare the power consumption pattern of three different loads with and without local generation units. The results of the simulations demonstrate a net saving of 28% with a fuzzy controller, 49% in energy consumption, and 52% in cost when renewable energy sources and energy storage are incorporated.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126057970","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
Techniques for optimal Placement of Electric Vehicle Charging Stations: A review 电动汽车充电站优化布局技术综述
2023 International Conference on Power, Instrumentation, Energy and Control (PIECON) Pub Date : 2023-02-10 DOI: 10.1109/PIECON56912.2023.10085887
Sohail Ahmad Parah, M. Jamil
{"title":"Techniques for optimal Placement of Electric Vehicle Charging Stations: A review","authors":"Sohail Ahmad Parah, M. Jamil","doi":"10.1109/PIECON56912.2023.10085887","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085887","url":null,"abstract":"The excess uses of conventional vehicles are the major concern to deteriorate our environment. The excess releases of greenhouse gases from the burning of fossil fuels are the key factors responsible for global warming. Therefore most countries like Saudi Arabia, the USA, India, etc, and their policymakers think that conventional Vehicles must be replaced by electrical vehicles. Electric vehicles play a significant role in improving air quality, energy security, and economic opportunity. The placement of charging station is a complex problem involving a number of constraints, decision variables and objective functions. Therefore, for solving non- linear and complex nature of the charging station placement researchers apply different optimization algorithms. This review paper focuses on the optimal placement of electric vehicle charging station planning using different optimization techniques by various researchers.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116575870","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
Fault detection and fault-tolerant operation of a seven-level inverter 七电平逆变器的故障检测与容错操作
2023 International Conference on Power, Instrumentation, Energy and Control (PIECON) Pub Date : 2023-02-10 DOI: 10.1109/PIECON56912.2023.10085776
Aquib Mehdi Naqvi, Pushkar Tripathi, S. Singh
{"title":"Fault detection and fault-tolerant operation of a seven-level inverter","authors":"Aquib Mehdi Naqvi, Pushkar Tripathi, S. Singh","doi":"10.1109/PIECON56912.2023.10085776","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085776","url":null,"abstract":"Applications of multilevel inverters (MLIs) are increasing extensively. Despite many advantages of MLIs, poor reliability of MLIs is a major concern as MLIs consist of a large number of semiconductor switches. Fault-tolerant topologies provide the solution to this problem. In this paper, a fault detection and identification method is presented for a sevenlevel fault-tolerant inverter. This fault detection method is based on monitoring the total harmonic distortion (THD) in output voltage and average voltage of one cycle. After identification of the faulty switch, the switching sequence and switching angles are to be adjusted. The method of fault detection and identification is verified by simulation results.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125167117","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
Stimulus of Magnetic Flux in the Surface Vicinity of Electric Motors on Human Health 电机表面附近磁通对人体健康的刺激
2023 International Conference on Power, Instrumentation, Energy and Control (PIECON) Pub Date : 2023-02-10 DOI: 10.1109/PIECON56912.2023.10085829
Shweta S Hooli, Anusha Vadde, G. Kadambi, K. Manickavasagam
{"title":"Stimulus of Magnetic Flux in the Surface Vicinity of Electric Motors on Human Health","authors":"Shweta S Hooli, Anusha Vadde, G. Kadambi, K. Manickavasagam","doi":"10.1109/PIECON56912.2023.10085829","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085829","url":null,"abstract":"This work is carried out to understand flux distribution around induction motor and their influence on human health. High-capacity Squirrel Cage Induction Motor (SCIM) draws huge currents; hence, the colossal flux density is emitted around the motor. When the leakage flux interfere with high-frequency electromagnetic waves, the influence on a human being is more dominant than power frequency. Time domain Finite Element Analysis (FEA) is performed to get an accurate instant value of magnetic flux distribution in and around motor a 15kW, SCIM. A 3D human head is modelled using FEA and placed in the vicinity of magnetic leakage flux mixed with high-frequency electromagnetic waves. The simulation reveals that magnetic leakage flux from SCIM is harmful to humans. The main objective of this work is to identify safe regions and create awareness of magnetic leakage flux, which can cause human health problems.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122765046","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
Scenarios and Modified Interval Based Wind Power Uncertainty Modelling for Decision Making in Electricity Market 基于情景和修正区间的风电不确定性电力市场决策模型
2023 International Conference on Power, Instrumentation, Energy and Control (PIECON) Pub Date : 2023-02-10 DOI: 10.1109/PIECON56912.2023.10085797
Swati Gupta, Bharat Bhushan Sharma, Vivek Prakash, S. Chawda, K. Sharma
{"title":"Scenarios and Modified Interval Based Wind Power Uncertainty Modelling for Decision Making in Electricity Market","authors":"Swati Gupta, Bharat Bhushan Sharma, Vivek Prakash, S. Chawda, K. Sharma","doi":"10.1109/PIECON56912.2023.10085797","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085797","url":null,"abstract":"The major power share from uncertain wind power producers would create a formidable challenge for grid management. Uncertain generation characteristics may impact the trading strategy of power producers. Hence, there is a need to model involved uncertainties for accuracy in the trading decision in an electricity market. The randomness of wind speed could be described by a stochastic process and characterized via probabilistic scenarios. However, probabilistic scenario-based models are computationally demanding and require a large number of scenarios. In this regard, this paper presents the modified interval forecast approach along with the stochastic scenario approach. In the modified interval approach uncertain interval is forecasted as upper and lower bounds and hourly ramps are considered using net-load scenarios. The proposed modified interval model results in computationally fast solutions and is accurate to capture available wind power output. Proposed models would be useful for wind power producers in trading decision-making.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131218542","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
Image Captioning Using Python 使用Python的图像字幕
2023 International Conference on Power, Instrumentation, Energy and Control (PIECON) Pub Date : 2023-02-10 DOI: 10.1109/PIECON56912.2023.10085724
Aalind Singh, Avinash Shah, Praveen Kumar, Himanshu Chaudhary, Abhishek Sharma, Akash Chaudhary, Abhinav Dixit
{"title":"Image Captioning Using Python","authors":"Aalind Singh, Avinash Shah, Praveen Kumar, Himanshu Chaudhary, Abhishek Sharma, Akash Chaudhary, Abhinav Dixit","doi":"10.1109/PIECON56912.2023.10085724","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085724","url":null,"abstract":"In the last few years, the problem of recognizing the objects and the context of the image has gained a rising interest. Image Captioning is a task of recognizing the context of the image and then generating a caption for it with proper grammar structure. Generating captions automatically will be helpful for visually impaired people to understand the picture better. To achieve this task a hybrid model is defined in this paper which uses CNN (Convolutional Neural Network) and LSTM (Long Short-Term Memory). The model will be trained using Flickr8K data sets with containing 8000 images and 5 captions for each image.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132358702","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
An optimization model using soft computing with the randomised response technique 基于随机响应技术的软计算优化模型
2023 International Conference on Power, Instrumentation, Energy and Control (PIECON) Pub Date : 2023-02-10 DOI: 10.1109/PIECON56912.2023.10085835
T. A. Tarray, Z. A. Ganie
{"title":"An optimization model using soft computing with the randomised response technique","authors":"T. A. Tarray, Z. A. Ganie","doi":"10.1109/PIECON56912.2023.10085835","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085835","url":null,"abstract":"We explore a randomized response model in a two stage stratified random sampling model and try to minimize the variance while taking costs into consideration using the existing optimization model as a guide. Applying the alpha-cut method’s optimal allocation strategy at the specified alpha value solves the problem. Additionally provided as support for the current study are numerical examples.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"7 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133322401","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
Effect of Inter-Turn Short Circuit Fault on Performance Parameters of Permanent Magnet Synchronous Motor using Finite Element Method 匝间短路故障对永磁同步电机性能参数影响的有限元分析
2023 International Conference on Power, Instrumentation, Energy and Control (PIECON) Pub Date : 2023-02-10 DOI: 10.1109/PIECON56912.2023.10085899
Veera Reddy Aduru, Vimala Kumari Jonnalagadda, Alapati Sireesha
{"title":"Effect of Inter-Turn Short Circuit Fault on Performance Parameters of Permanent Magnet Synchronous Motor using Finite Element Method","authors":"Veera Reddy Aduru, Vimala Kumari Jonnalagadda, Alapati Sireesha","doi":"10.1109/PIECON56912.2023.10085899","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085899","url":null,"abstract":"Permanent magnet synchronous motors (PMSM) are widely used in many applications due to their simple structure, robustness, and low cost. It is extensively used in industrial, domestic, aerospace, and military applications. These motors often provide improved stability of operation, linearity, speed control, and higher efficiency. A permanent magnet synchronous motor is designed and the effect of Inter Turn Short Circuit (ITSC) fault on performance characteristics is carried out for different severity levels by using Finite Element Method (FEM). Electrical faults lead to the critical failure of the electrical motors. Short circuit faults come under Electrical Faults. The finite element method provides a finite and inexpensive technique for analyzing electric motors. This method takes into account all the complex geometry, nonlinear characteristics of the motor, end effects, and axial fringing effects. Fault detection and analysis in PMSM using this method can assure the reliability of detection as well as the sensitivity of fault in a PMSM.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133592579","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 Investigations on Synchronous Reluctance Motor for Automotive Applications 汽车用同步磁阻电机性能研究
2023 International Conference on Power, Instrumentation, Energy and Control (PIECON) Pub Date : 2023-02-10 DOI: 10.1109/PIECON56912.2023.10085860
S. Prabhu, V. Arun, M. Balaji, V. Kalaimagal, A. Manikandan, V. Chandrasekar
{"title":"Performance Investigations on Synchronous Reluctance Motor for Automotive Applications","authors":"S. Prabhu, V. Arun, M. Balaji, V. Kalaimagal, A. Manikandan, V. Chandrasekar","doi":"10.1109/PIECON56912.2023.10085860","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085860","url":null,"abstract":"An assortment of variable reluctance electric engines used in traction applications are modelled and researched here. The main aim of the article is to identify the best motor with superior characteristics. The motor considered for analysis are Synchronous Reluctance Motors (SyRM) as one, two, three and four layer in angled barrier are investigated and compared with the parameters as torque ripple, to find the behavior of the motor. The 2 kW, 48 V, 1500 RPM, three phase are the specifications of the motors considered for analysis. The analysis is executed in the finite element analysis environment by utilizing motorsolve package. SyRM is analyzed for angled barrier and notched types. After examining each kind of motor, it has been determined that the synchronous reluctance motor together with the two-layer angled barrier motor is the most effective form of motor.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"217 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134369257","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
A Hybrid Approach for Forecasting the Technical Anomalies in Sensor-based Water Quality Distribution Data 基于传感器的水质分布数据技术异常预测的混合方法
2023 International Conference on Power, Instrumentation, Energy and Control (PIECON) Pub Date : 2023-02-10 DOI: 10.1109/PIECON56912.2023.10085799
Kaleeswari Chinnakkaruppan, K. Krishnamoorthy, Senthilrajan Agniraj
{"title":"A Hybrid Approach for Forecasting the Technical Anomalies in Sensor-based Water Quality Distribution Data","authors":"Kaleeswari Chinnakkaruppan, K. Krishnamoorthy, Senthilrajan Agniraj","doi":"10.1109/PIECON56912.2023.10085799","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085799","url":null,"abstract":"The detection of anomalous data from sensor data is the intractable problem in today’s hydrological data monitoring. Hardware malfunctions, power issues, battery life, and efficiency are challenges encountered while employing sensor devices to collect data. In such situations, data that is inconsistent may be recorded. By applying these types of dataset, inaccurate results may be produced when performing classification or other data analytic methods. In order to discover anomalous data from a huge dataset, this paper suggests a hybrid mechanism. Three unsupervised machine learning techniques are used to construct this mechanism. First, this study reduces superfluous data by using Principal Component Analysis (PCA). Isolation Forest (IF) is then used to find outlier scores. Finally, K-means clustering is used to distinguish between abnormal (anomalies) and regular data using a visual representation of cluster assignments. The cluster assessment indices’ criteria were used to evaluate this hybrid approach. According to the findings, this hybrid technique would be suitable for identifying anomalous data inside each data index of the dataset, depending on the target value.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"21 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123243357","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
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