2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)最新文献

{"title":"Design of PID Controller using Artificial Neural Network for Step-up Power Converter in Photovoltaic Systems","authors":"S. Gupta, J. K. Mohanta","doi":"10.1109/PIECON56912.2023.10085911","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085911","url":null,"abstract":"The most attractive renewable energy resource that provides clean electricity via solar PV panels is solar irradiation received from the Sun. Solar energy is available mainly during the daytime, but solar photovoltaic (PV) panels can produce maximum power due to low efficiency. Hence, maximum power point tracking (MPPT) methods are used with solar PV systems. The interface required between solar PV panels and the load is a DC-DC converter, a power electronics device. This paper proposes a neural network-based PID controller for the boost converter. The well-known back prorogation neural network algorithm is used with PID structure to design a controller for the boost converter. The study is carried out with the help of MATLAB/Simulink software to show the test results. The simulations’ outcome shows the proposed controller’s efficacy when used with solar PV systems.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"16 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":"121866525","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}

{"title":"Performance analysis of various deep learning techniques for brain tumor classification","authors":"Preeti Jaidka, Sachin Jain","doi":"10.1109/PIECON56912.2023.10085796","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085796","url":null,"abstract":"Brain MRI image tumors are classified using machine learning techniques in which features are extracted and given to the classifier for the classification task. The manual extraction of elements is time-consuming and leads to poor performance due to a poor selection of features. This paper describes the performance analysis of various deep-learning techniques for brain tumor classification. These methods were assessed using three different categorization performance indices. The logistic regression and hybrid approach discovered a maximum classification accuracy of 89% for small and 87% for large datasets.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"3 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":"126073426","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}

{"title":"PVsyst Based Comparative Analysis of 1 MW Solar Plant in Jaipur and Dehradun","authors":"Tanuj Rawat, Jyotsna Singh, Sachin Sharma","doi":"10.1109/PIECON56912.2023.10085836","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085836","url":null,"abstract":"India is endowed with vast solar energy potential. Different areas of India receives different annual average solar radiations. Apart from photovoltaic (PV) module type and it’s orientation the efficiency of a solar plant is significantly effected by the geographical location. Therefore, in this paper performance of 1 MW grid connected roof top solar plant is assessed when it is located at two different locations of India. The two places are Jaipur in Rajasthan and Dehradun in Uttarakhand respectively. The simulation analysis is carried out using PVsyst software. A comparative analysis is presented in terms of energy injected by PV system into grid and different losses that are incurred in the 1 MW project for these two different locations.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"15 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":"123677674","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}

{"title":"Power Transmission Optimization Using Synchronous Condenser Incorporated with Hybrid Particle Swarm Pattern Search Algorithm","authors":"Rishan Karangan, A. Arief, R. Sadjad, M. B. Nappu","doi":"10.1109/PIECON56912.2023.10085755","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085755","url":null,"abstract":"The synchronous condenser (SC) was tested in this study to improve performance of the power transmission in the South Sulawesi Electric Power System model, in Indonesia, a multi-engine power system, using a hybrid of particle swarm optimization (PSO) and pattern search (PS) algorithms. This method employs MATLAB and DigSILENT, which is linked by an automated data exchange protocol. Power flow calculations are performed using DigSILENT, and the particle swarm pattern search optimization (PSPSO) algorithm is implemented using MATLAB. This method has been shown through power flow calculation to minimize losses on the transmission line and enhance voltage profile, ensuring power grid stability.","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":"122302611","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}

{"title":"Placement of FCS Considering Power Loss, Land Cost, and EV Population","authors":"Fareed Ahmad, I. Ashraf, A. Iqbal","doi":"10.1109/PIECON56912.2023.10085898","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085898","url":null,"abstract":"Electric vehicles (EVs) have recently gotten a lot of attention from the government and the auto industry. This is because EVs produce less CO2 and cost less to run and maintain. However, as EV adoption rises, the pressure on the distribution network increases due to changes in power loss, voltage profile, etc. So, EV fast charging stations (FCSs) must be put in the right places for the distribution network to work well. As a result, a two-stage technique is suggested for the deployment of FCSs in this paper. The Land Cost Index (LCI) and the EV Population Index have been taken into consideration while introducing the Charging Station Investor Decision Index (CSIDI) in the first stage (EVPI). Further, the CSIDI was developed to determine the location of FCS in the electrical distribution system while minimizing the cost of land and maximizing the EV population. The distribution system restrictions are considered while formulating an optimization problem in the following step to minimize the overall active power loss. The improved version of the bald eagle search (IBES) algorithm has also been used to solve the minimization issue, and the outcomes have been contrasted with those of the particle swarm optimization (PSO) technique.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"46 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":"125455669","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}

{"title":"System Profit Assessment of a Solar-Integrated Deregulated Power System","authors":"Manasa Vemula, Subhojit Dawn, Akshitha Machagiri, Sai Lalitha Potipireddi, Baby Rukmini Bobbili","doi":"10.1109/PIECON56912.2023.10085889","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085889","url":null,"abstract":"The maximization of earnings from an electricity market is one of the most critical parts. The electricity generated by the stations is fixed. During the low peak hours, the energy is available in abundance. These excess units left from renewable energy sources like solar, windand the flow of water can be stored in storage units. One of the solutions used in recent times is the usage of Battery Energy Storage Systems (BESS). The leftover energy generated in the low peak hours can be saved and reused at the peak demand time. The energy stored in the units can be further used during high peak hours and can be utilized to gain further profits which can be the motto of an Electricity Market. With this electricity, greater income can be generated. Nowadays the usage of renewable sources for power generation to preserve non-renewable resources from extinction has emerged as a topic. This paper discusses a way by putting the renewable deliver at one of the load centers and locating the greatest component where the storing of electricity can take advantage of both renewable and non-renewable resources. The work mainly focuses onthe presence of regulated and deregulated systems. The main objective of this work is to find the considerable changes in system profit in a power system with regulated and deregulated conditions with the placement of Solar PV. The work is simulated using MATPOWER and the programming language is SQP (Sequential Quadratic Programming) which follows the Newton-Raphson method.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"23 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":"127953631","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}

{"title":"Starting Inrush Current Mitigation during Reswitching of Three-Phase Induction Motors by Discontinuous Phase-Controlled Switching","authors":"M. S. Jamil Asghar","doi":"10.1109/PIECON56912.2023.10085843","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085843","url":null,"abstract":"In many industrial applications, frequent and repeated switching of three-phase induction motors is required. If reswitching takes place while the speed of the rotor is significant, a large transient-negative toque may appear at the shaft of motor. It depends upon the difference of voltage magnitude U, between supply voltage V, and induced emf, E of the stator winding, and the phase angle $delta$ between V and E. At this condition, both starting inrush current and the transient-negative toque which tries to block or oppose the movement of rotor, are extremely high (as high as six-seven times of the rated value). Soft switching with reduced applied voltage and reduced starting current is achieved by switching angle control of a three-phase AC regulator. But the starting operation takes more time, and thus reswitching is delayed. Moreover, it becomes difficult to start the motor with a high constant-toque load coupled with rotor due to the need of high starting current. It was shown earlier that with the help of non-simultaneous switching of AC regulators, both starting current as well as starting torque can be controlled individually. However, these switching methods require complex control system due to the use of vector or d-q based control systems or artificial neural network (ANN) based controllers, which require computation based on the motor parameters. In this work it is shown that only on the basis of U, the inrush current and the transient-negative torque can be reduced at reswitching condition. Here, the switching is performed in any power cycle when U becomes zero. With the help of a feedback control signal of U, a zero-voltage switching (ZVS) based controller circuit is developed to control the switching angle of a three-phase AC regulator. The experimental records show the reduced starting inrush current as well as the switching transient period of the motor, and the proposed circuit works satisfactorily. It improves the power quality (PQ) of the line as the period of disturbance due to starting current is reduced too.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"23 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":"129438715","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}

{"title":"Control and Mitigation of Harmonics and Power Filtering in Photovoltaic Grid Tied System Using MFI","authors":"Abdulwasa B. Barnawi, Mohammed Salman Arafath, J. Bhutto, M. A. Muqeet, Atif Atif Abdulrahim Mohammed, Mohammed Sayeeduddin Habeeb, Anas Ayesh Aljohani","doi":"10.1109/PIECON56912.2023.10085875","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085875","url":null,"abstract":"Photo-voltaic based power generation distribution system uses power electronics converters for grid connected interfacing. In this study, a multifunctional (MFIs) grid-tie inverter with harmonics current mitigation/compensation techniques have been proposed as well as examined for the Grid tied (On-grid) Photovoltaics networks. This concept is subjected to modification and improvement of this proposed PV inverter-based control techniques with also modifications in active power filtering control algorithm. Grid -tie Photo-Voltaic inverter have same analysis and control techniques like active power filtering schemes. This study presents, conventional PLL algorithms are implemented to calculate the angular positions of the synchronous references in the system. Generated power from photovoltaic system is accounted and supplied to the control-loop. The evaluated current at the load side are progressed to achieve harmonic currents component. Then, the resultant signals are utilized to drives the grid-tied multifunctional inverter.","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":"129740848","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}

{"title":"Solar-Powered Wireless Charging Station for Electric Vehicles","authors":"Suneel Tummapudi, Thabassum Mohammed, Ravi Kiran Peetala, Sitaravamma Chilla, Prabhunandan Paul Bollavarapu","doi":"10.1109/PIECON56912.2023.10085752","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085752","url":null,"abstract":"Today, there are steadily more electric vehicles on the road. Electric vehicles have proven effective in reducing travel costs by switching from fuel to electricity, which is much less expensive, in addition to the environmental benefits. The major objective is to charge more for utilizing the car for a longer period. The charging system for electric vehicles (EVs) is generally conductive. The EV is charged after the car is linked to a charging station however, charging a car at a charging station takes longer. As technology develops, wireless charging is being introduced. Inductive EV charging does not involve any wires. The proposed method demonstrates how electric vehicles can be charged while in motion without the need for the vehicle to pull over for refueling. The charging mechanism is powered by solar energy, thus there is no need for an additional power source. The system’s development involves the usage of solar panels, batteries, transformers, regulator circuits, copper coils, AC-to-DC converters, Atmega328p controllers, and LCDs.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"35 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":"117314371","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}

{"title":"A Study on Demand Response Potential from Load Profiles of Smart Household Appliances","authors":"Ashish Mathur, S. Nema, Swati Gupta, Vivek Prakash, H. Pandžić","doi":"10.1109/PIECON56912.2023.10085856","DOIUrl":"https://doi.org/10.1109/PIECON56912.2023.10085856","url":null,"abstract":"The Federal Government energy policies strongly encourage smart homes to actively participate in grid services for increased energy efficiency, as well as reliable and secure grid management. Smart households with smart flexible loads can actively assist in important grid management services such as power system frequency response. This paper aims to investigate the power consumption profiles of specific household appliances, i.e., a fridge, a washing machine, a dishwasher, a flooring heating system, a tumble dryer, and an electric water heater (EWH) installed in the Demand Response Living Lab at the University of Zagreb, Croatia. Power usage information as well as load accounts of home appliances are vital for demand response research. In this work, power consumption accounts are presented to show their potential for fast active power response. The monitoring and conversation built in this research study would certainly be helpful to understand the potential of smart household appliances for grid-balancing services.","PeriodicalId":182428,"journal":{"name":"2023 International Conference on Power, Instrumentation, Energy and Control (PIECON)","volume":"29 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":"115485742","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}