2022 4th International Conference on Energy, Power and Environment (ICEPE)最新文献_第8页

Modelling and Control of Modular Multilevel Converter and Dual Active Bridge Based Fast Electric Vehicle Charger 基于模块化多电平变换器和双有源桥的快速电动车充电器建模与控制

2022 4th International Conference on Energy, Power and Environment (ICEPE) Pub Date : 2022-04-29 DOI: 10.1109/icepe55035.2022.9798034

A. Verma, K. Mayank, Somnath Meikap, Chandan Kumar

{"title":"Modelling and Control of Modular Multilevel Converter and Dual Active Bridge Based Fast Electric Vehicle Charger","authors":"A. Verma, K. Mayank, Somnath Meikap, Chandan Kumar","doi":"10.1109/icepe55035.2022.9798034","DOIUrl":"https://doi.org/10.1109/icepe55035.2022.9798034","url":null,"abstract":"This paper presents modelling and control of medium voltage (MV) grid connected modular multi-level converter (MMC) and dual active bridge (DAB) based isolated electrical vehicle charger. The presented model consists of a half bridge sub module (SM) based MMC as first stage and a DAB as second stage of the charger. Firstly, the equivalent model of MMC and DAB is introduced and then a proper control system is designed for both the converters. For MMC level shifted pulse width modulation (PWM) along with shorting algorithm based capacitor voltage balancing technique is used. Two separate voltage and current control loops are designed for DAB. Charging of battery is carried out in constant current (CC) mode upto 80% of its state of charge (SoC) and in constant voltage (CV) mode after 80% SoC of battery. A proper switching mechanism is introduced to minimise the transients during switch-over of DAB controllers. A 3.3 kV, 200 kVA grid connected MMC with a DAB and a 200 Ah, 700 V Li-ion battery system is simulated. Simulation results in steady state and also during controller switch-over process is presented to verify the charging system.","PeriodicalId":168114,"journal":{"name":"2022 4th International Conference on Energy, Power and Environment (ICEPE)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132243916","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

Analysis, Requirements and Boundary Condition of Droop Control in Multiple Parallel Connected Converters in DC Microgrid 直流微电网多并联变流器下垂控制分析、要求及边界条件

2022 4th International Conference on Energy, Power and Environment (ICEPE) Pub Date : 2022-04-29 DOI: 10.1109/icepe55035.2022.9798314

Makireddi Ramana, S. B. Santra, Shivam Prakash Gautam, Akshaya K. Pati

{"title":"Analysis, Requirements and Boundary Condition of Droop Control in Multiple Parallel Connected Converters in DC Microgrid","authors":"Makireddi Ramana, S. B. Santra, Shivam Prakash Gautam, Akshaya K. Pati","doi":"10.1109/icepe55035.2022.9798314","DOIUrl":"https://doi.org/10.1109/icepe55035.2022.9798314","url":null,"abstract":"Distributed energy resources (DERs) connected in parallel using AC/DC, DC/DC converters to form a DC or AC Microgrid. DC Microgrid is essentially important for community building for future smart cities. For the limited space multiple sources i.e., PV and small wind farms are connected through multiple parallel DC/DC converters to form a DC Microgrid. The control of multiple parallel connected DC/DC converters are challenging due to different operational environmental conditions such as mismatch in converter parameters and cable resistance. For a different output voltage from separate parallel converter leads to local circulating current within the PV modules and creates difficulties in maintaining common DC link voltage as well as proportional current sharing. This also increase series power loss from each converter. Traditionally droop control is adopted to control these problems in DC Microgrid. However, the applicability, operating regions as well as working boundary conditions of droop control is critical. This paper discusses mainly on the problems of parallel connected DC/DC converter system and provides the guidelines of operational boundaries without any control and with only MPPT control. Analysis of MPPT with droop control is also performed. Finally, the theoretical findings are verified by simulation study performed in PSIM 9.1.1.","PeriodicalId":168114,"journal":{"name":"2022 4th International Conference on Energy, Power and Environment (ICEPE)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132562018","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

Fuzzy based load frequency control of power system incorporating nonlinearity 基于模糊的非线性电力系统负荷频率控制

2022 4th International Conference on Energy, Power and Environment (ICEPE) Pub Date : 2022-04-29 DOI: 10.1109/icepe55035.2022.9798219

Sneha Yadav, K. Namrata, Nishant Kumar, Akshit Samadhiya

引用次数: 2

Operational and Economic challenges due to Run-of-River (RoR) Hydro and ways to address the challenges 径流式水力发电(RoR)带来的运营和经济挑战以及应对挑战的方法

2022 4th International Conference on Energy, Power and Environment (ICEPE) Pub Date : 2022-04-29 DOI: 10.1109/icepe55035.2022.9798383

N. Roy, Rajib Sutradhar, S. Mandal, R. Sarma, Kritika Debnath

{"title":"Operational and Economic challenges due to Run-of-River (RoR) Hydro and ways to address the challenges","authors":"N. Roy, Rajib Sutradhar, S. Mandal, R. Sarma, Kritika Debnath","doi":"10.1109/icepe55035.2022.9798383","DOIUrl":"https://doi.org/10.1109/icepe55035.2022.9798383","url":null,"abstract":"Run-of-River (RoR) hydro generating station is a unique and eco-friendly method to harvest the energy of water. Even though this type of hydro generating station has multiple benefits in comparison to storage type, several challenges are faced by hydro power plant operators and power system operators. Major portion of these challenges are attributed to sudden variation in water inflow due to changes in weather conditions in the upstream or catchment area of these power plants. This paper describes such challenges encountered due to sudden variation of water level in the pondage of a RoR hydro power plant named Ranganadi Hydro Electric Power (RHEP) plant with installed capacity of 405 MW, situated in the state of Arunachal Pradesh of India. The RHEP power plant has a small pondage capacity of around 3 hours (while running at its installed capacity). Sudden fluctuation in water inflow often leads to unanticipated variation of water level in its pondage. The fundamental approach to get rid of challenges posed by this unanticipated variation of water level is to have an accurate forecast system to predict the water level in different time horizons. Two independent methodologies of forecasting water level using Artificial Neural Network (ANN) and Vector Auto regression (VAR) have been discussed in this paper. Both the methods have been employed to predict half hourly water level in RHEP pondage for a day by using historical data of water level and weather parameters like rainfall, humidity, and temperature. The results obtained from the two methods have been compared in this paper. Accurate forecast of water level shall ease off the challenges pertaining to variation in RoR hydro generation.","PeriodicalId":168114,"journal":{"name":"2022 4th International Conference on Energy, Power and Environment (ICEPE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114187312","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

Response surface methodology based parametric analysis of the impact of installation factors on bifacial gain 基于响应面法的安装因素对双面增益影响的参数分析

2022 4th International Conference on Energy, Power and Environment (ICEPE) Pub Date : 2022-04-29 DOI: 10.1109/icepe55035.2022.9797968

Aayushee Gupta, Gautam Raina, Sunanda Sinha

{"title":"Response surface methodology based parametric analysis of the impact of installation factors on bifacial gain","authors":"Aayushee Gupta, Gautam Raina, Sunanda Sinha","doi":"10.1109/icepe55035.2022.9797968","DOIUrl":"https://doi.org/10.1109/icepe55035.2022.9797968","url":null,"abstract":"The performance estimation of a bifacial PV array is significantly more sophisticated than that of a normal monofacial installation because of its sensitivity to several additional parameters. The optimal operation of bifacial PV is mainly governed by the module's orientation, i.e., its tilt angle (β), albedo of the site (ρg), elevation above ground (E), and azimuth angle (γ). A sensitivity study on the influence different bifacial PV installation factors have on the bifacial gain (BG) is presented. RADIANCE based ray tracing model is utilized to simulate the effective irradiance on a bifacial photovoltaic module. The sensitivity study is carried out through response surface methodology (RSM) to determine the impact of different installation parameters on effective irradiance and BG of a bifacial module. The analysis have high significance (p<0.05) for all installation parameters as well as significant interaction among the factors. Furthermore, the simulations results show that module height and ground albedo have the maximum impact in governing the BG of a bifacial module.","PeriodicalId":168114,"journal":{"name":"2022 4th International Conference on Energy, Power and Environment (ICEPE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121098780","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

ICEPE 2022 Cover Page ICEPE 2022封面

2022 4th International Conference on Energy, Power and Environment (ICEPE) Pub Date : 2022-04-29 DOI: 10.23919/icep55381.2022.9795628

引用次数: 0

Alleviation of Frequency Oscillations in UPFC Based Multi-Area Power System Using Fuzzy Logic Controller 基于UPFC的多区域电力系统频率振荡的模糊控制

2022 4th International Conference on Energy, Power and Environment (ICEPE) Pub Date : 2022-04-29 DOI: 10.1109/icepe55035.2022.9798371

K. L. Khan, Viqar Yousuf, A. H. Bhat

{"title":"Alleviation of Frequency Oscillations in UPFC Based Multi-Area Power System Using Fuzzy Logic Controller","authors":"K. L. Khan, Viqar Yousuf, A. H. Bhat","doi":"10.1109/icepe55035.2022.9798371","DOIUrl":"https://doi.org/10.1109/icepe55035.2022.9798371","url":null,"abstract":"The power system is a complex web of interrelated generating, distribution, and transmission networks with different uncertainties. There is a growing demand for the utilization of flexible AC transmission systems (FACTS) devices to minimize these uncertainties and ensure the smooth working of power systems. In this study, the load frequency control (LFC) for three area systems with an installed unified power flow controller (UPFC) is analyzed, which offers a deeper understanding of how the realistic power system operates. The findings cover a simple three-area system that is not implemented with a controller and is used as a reference. The frequency deviations of various controllers, such as, PID and Fuzzy, are compared to get a better understanding of how these controllers function. The simulations are done in a MATLAB/Simulink environment for a three-area power system, and the results are shown area by area, comparing results obtained with and without UPFC, as well as for fuzzy and PID controllers. Additionally, real-time simulations are carried out using OPAL-RT (OP4510), which shows how effective UPFC is in minimizing the frequency deviation when compared to a system with no controller present.","PeriodicalId":168114,"journal":{"name":"2022 4th International Conference on Energy, Power and Environment (ICEPE)","volume":"54 3-4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116602347","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

Parameter estimation of nonlinear systems with stable, chaotic and periodic behaviours at different initial conditions - a new approach 具有稳定、混沌和周期行为的非线性系统在不同初始条件下的参数估计——一种新方法

2022 4th International Conference on Energy, Power and Environment (ICEPE) Pub Date : 2022-04-29 DOI: 10.1109/icepe55035.2022.9798336

Rahash Nathasarma, B. K. Roy

{"title":"Parameter estimation of nonlinear systems with stable, chaotic and periodic behaviours at different initial conditions - a new approach","authors":"Rahash Nathasarma, B. K. Roy","doi":"10.1109/icepe55035.2022.9798336","DOIUrl":"https://doi.org/10.1109/icepe55035.2022.9798336","url":null,"abstract":"Real-life systems are generally nonlinear in nature. Thus, accurate nonlinear system modelling is very important to analyse and control of the same system. Nonlinear systems are highly complex and exhibit different behaviours with the variation of their initial conditions and parameters. The class of chaotic systems is nonlinear systems with high sensitivity to initial conditions. In this paper, parameters estimation of the well known Lorenz system, as an example, is considered with the variation of its parameters and initial conditions. The physics informed neural networks, a recent advance in machine learning techniques, is used for this purpose. The variation of parameters leads to stable, periodic and chaotic behaviours of the Lorenz system, and these parameters are estimated with different initial conditions. The simulation results reveal the accuracy of the estimation as (0.03 to 0.39)% for stable behaviour, (0.08 to 0.43)% for periodic behaviour and (1 to 6)% for chaotic behaviour. The transient time for the parameters estimation is checked by estimating the parameters in stable - chaotic - stable sequences. The transient time is less when the physics informed neural networks are in use for some time. The short transient time is suitable for real-life applications using the used approach. Most of the available literature for the estimation of parameters of a chaotic system considers only the set of parameters for chaotic behaviour and with only one initial condition; and thus, signify the contributions of this paper.","PeriodicalId":168114,"journal":{"name":"2022 4th International Conference on Energy, Power and Environment (ICEPE)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115005356","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

Techno-Economic Analysis for the Profitability of Residential PV-Battery System 住宅光伏-电池系统盈利能力的技术经济分析

2022 4th International Conference on Energy, Power and Environment (ICEPE) Pub Date : 2022-04-29 DOI: 10.1109/icepe55035.2022.9798004

Gokul Krishnan T M, K. V. Vijaya Chandrakala

引用次数: 2

Machine Learning Application for Prediction of EV Charging Demand for the Scenario of Agartala, India 机器学习在印度Agartala情景下电动汽车充电需求预测中的应用

2022 4th International Conference on Energy, Power and Environment (ICEPE) Pub Date : 2022-04-29 DOI: 10.1109/icepe55035.2022.9798369

Dhritiman Adhya, Arnab Pal, A. Chakraborty, A. Bhattacharya

引用次数: 2