2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)最新文献_第2页

Flexible Control Approach for DC Microgrid Oriented Electric Vehicle Charging Station 面向直流微电网的电动汽车充电站柔性控制方法

2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT) Pub Date : 2023-03-11 DOI: 10.1109/GlobConHT56829.2023.10087864

M. Senapati, Khaled Al Jaafaari, K. Al Hosani, Utkal Ranjan Muduli

{"title":"Flexible Control Approach for DC Microgrid Oriented Electric Vehicle Charging Station","authors":"M. Senapati, Khaled Al Jaafaari, K. Al Hosani, Utkal Ranjan Muduli","doi":"10.1109/GlobConHT56829.2023.10087864","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087864","url":null,"abstract":"Photovoltaic (PV) and wind-based intermittent dis-tributed energy resources have a negative impact on the quality of the power supply of the DC microgrid-oriented electric vehicle charging station, resulting in numerous control issues. The DC link voltage of the DC microgrid can be automatically balanced and monitored by properly coordinating the operation of each energy source and storage device. In this paper, the converter controller parameters of the individual subsystems of the DC microgrid (i.e., wind, PV system, battery, fuel cell, and electrolyzer) are designed using the state-space transfer function tool to solve system complexity and handle the intermittent nature of renewable energy. Firefly algorithm combined with particle swarm optimization (FA-PSO) is used to design the DC microgrid controller to reduce/mitigate DC voltage fluctuations. The ability of the proposed control strategy to withstand changes in solar in-solation, wind speed, and load perturbation is evaluated. For the DC microgrid controller design, TS-fuzzy, gray wolf optimization (GWO), and an adaptive neuro-fuzzy inference system assisted by particle swarm optimization (ANFIS-PSO) controllers are all compared and validated through hardware implementation. The results show that the proposed FA - PSO controller outperforms the other control strategies in terms of performance.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129551880","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

State-space Modelling and Stability Analysis of ANN controller for Grid-connected VSC System 并网VSC系统神经网络控制器的状态空间建模与稳定性分析

2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT) Pub Date : 2023-03-11 DOI: 10.1109/GlobConHT56829.2023.10087412

P. Bana, M. Amin

引用次数: 0

Multi-Pulse SHE-PWM Modulated VSC Based Grid Connected Large-Capacity Solar PV Plant with Battery Energy Storage 基于多脉冲SHE-PWM调制VSC的电池储能并网大容量太阳能光伏电站

2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT) Pub Date : 2023-03-11 DOI: 10.1109/GlobConHT56829.2023.10087697

S. Karmakar, Bhim Singh

引用次数: 0

A framework for Assessing the Reliability of Grid Networks by Modelling the Cyber-Physical Interdependencies of Dynamic Line Rating Components 通过对动态线路评级组件的网络物理相互依赖性建模来评估电网可靠性的框架

2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT) Pub Date : 2023-03-11 DOI: 10.1109/GlobConHT56829.2023.10087560

Olatunji Ahmed, J. Teh

{"title":"A framework for Assessing the Reliability of Grid Networks by Modelling the Cyber-Physical Interdependencies of Dynamic Line Rating Components","authors":"Olatunji Ahmed, J. Teh","doi":"10.1109/GlobConHT56829.2023.10087560","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087560","url":null,"abstract":"This study introduces a method for assessing the steady-state availability of a power grid network comprising dynamic line rating (DLR) and other cyber-physical elements. The network's reliability is modelled as a Markov process representing the availability of both the cyber network, including DLR sensors and the electrical power system component. The study determines the failure rate of the combined systems using a Markov chain transiting between four states. It also recommends a placement method for positioning DLR sensors in the cyber network, which involves utilizing a clustering algorithm and Monte Carlo simulation. The availability of the electrical power system network at normal operating conditions is evaluated from the loss of load probability and the repair rate of the network, while that of the cyber network is determined by the latency of communication and the cyber network repair rate. The steady-state availability of the combined cyber-physical power system at base load was found to be 0.5828 (5105 hours) per year. By systematically decreasing the failure rate of the cyber network to 75%, the availability of the power system network increased to 0.865 (7577 hours) per year.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114331584","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

Operation of Unified Power Quality Conditioner with Photovoltaic Arrays 光伏阵列统一电能质量调节器的运行

2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT) Pub Date : 2023-03-11 DOI: 10.1109/GlobConHT56829.2023.10087529

A. Jain, K. Panda, S. Bhullar

引用次数: 0

Short-term Electricity Price Forecasting Using Interpretable Hybrid Machine Learning Models 使用可解释混合机器学习模型的短期电价预测

2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT) Pub Date : 2023-03-11 DOI: 10.1109/GlobConHT56829.2023.10087707

Hamza Mubarak, Shameem Ahmad, Alomgir Hossain, B. Horan, Abdallah Abdellatif, S. Mekhilef, M. Seyedmahmoudian, A. Stojcevski, H. Mokhlis, J. Kanesan, M. Becherif

{"title":"Short-term Electricity Price Forecasting Using Interpretable Hybrid Machine Learning Models","authors":"Hamza Mubarak, Shameem Ahmad, Alomgir Hossain, B. Horan, Abdallah Abdellatif, S. Mekhilef, M. Seyedmahmoudian, A. Stojcevski, H. Mokhlis, J. Kanesan, M. Becherif","doi":"10.1109/GlobConHT56829.2023.10087707","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087707","url":null,"abstract":"In this paper, a combination of single and hybrid Machine learning (ML) models were proposed to forecast the electricity price one day ahead for the Nord Pool spot electricity market. The proposed models were evaluated based on performance metrics, such as Root Mean Square Error (RMSE), Mean Square Error (MSE), and Mean Absolute Error (MAE). Further, a model interpretation by employing SHapley Additive exPlanations (SHAP) framework to show the impact of each feature in the forecasting output. Based on the SHAP, the lag electricity price EP(t-1) impacts the forecast result most, followed by EP(t-2) and time stamp, respectively. Finally, the results show that hybrid models performed better than single ones, where the LR-CatBoost model surpassed other models and attained 7.94 and 10.49, which are the lowest values of MAE and RMSE respectively. Moreover, the kNN and SVM models performed poorly, achieving the highest RMSE values of 12.88 and 12.39, respectively.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121490228","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

An Improved DC Circuit Breaker with Enhanced Energy Recovery Efficiency for Renewable Energy Application 可再生能源应用中提高能量回收效率的改进型直流断路器

2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT) Pub Date : 2023-03-11 DOI: 10.1109/GlobConHT56829.2023.10087368

Md Mahmudul Hasan, R. Kannan, Lo Hai Hiung, M. Khan, S. M. S. Lumen, Hussein Shutari

{"title":"An Improved DC Circuit Breaker with Enhanced Energy Recovery Efficiency for Renewable Energy Application","authors":"Md Mahmudul Hasan, R. Kannan, Lo Hai Hiung, M. Khan, S. M. S. Lumen, Hussein Shutari","doi":"10.1109/GlobConHT56829.2023.10087368","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087368","url":null,"abstract":"The DC grid has been drawing significant attention due to the rapid development of renewable energy sources. But it has a major limitation regarding protection. The fault current rises very abruptly because of low system impedance. DC circuit breakers are widely accepted mechanisms to address this issue. DC grids have large network inductance, which stores energy during current conduction. Conventional DCCB uses a lossy network to dissipate the stored energy in terms of heat to perform successful current breaking. Recently, a topology was proposed that can store current-breaking energy from the network inductance and feed it back to the source instead of dissipating it. This paper will introduce a highly efficient DC circuit breaker (HEDCCB) topology that can recover the current breaking energy very efficiently, with a recovery efficiency 85.61%. PSIM simulation software is used to evaluate the performance parameters of the proposed circuit breaker. The performance comparisons of proposed and conventional topologies are also presented in this paper.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124093873","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

Solar Charging Dock for Personal Electric Vehicles 用于个人电动汽车的太阳能充电座

2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT) Pub Date : 2023-03-11 DOI: 10.1109/GlobConHT56829.2023.10087698

Z. B. Durham, A. El-Shahat, H. Mageed, Samu Blitch, Zain Mirza

引用次数: 0

The Impacts of Maintenance Weather and Aging on Solar Power Generation Forecasting and Prediction 维护天气和老化对太阳能发电预报预报的影响

2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT) Pub Date : 2023-03-11 DOI: 10.1109/GlobConHT56829.2023.10087613

S. Vyas, Sanskar Bhuwania, S. Mishra, Hardik Patel, Brijesh Tripathi

{"title":"The Impacts of Maintenance Weather and Aging on Solar Power Generation Forecasting and Prediction","authors":"S. Vyas, Sanskar Bhuwania, S. Mishra, Hardik Patel, Brijesh Tripathi","doi":"10.1109/GlobConHT56829.2023.10087613","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087613","url":null,"abstract":"Solar energy forecasting has seen tremendous growth by using weather and photovoltaic (PV) parameters. This study presents new approach that predicts solar energy production by using the scheduled, unscheduled maintenance activities and weather data. The dataset is obtained from the 1MW solar power plant of PDEU (our university), which has 12 structured columns and 1 unstructured column with manual text entries about different scheduled and unscheduled maintenance activities, and weather conditions on the daily basis. The unstructured column is used to create new features by using Hash-Map, flag words and stop words. The solar power generation forecasting is formulated as a vector auto regression (VAR) optimization problem and total power generation forecasting is presented with the results of four different cases. The results have shown that the root mean square percentage error (RMSPE) in total power generation forecasting is less than 10% for different lag (p) values. The vector auto regression can forecast the unscheduled maintenance activities like Grid failure, Inverter Failure, scheduled maintenance activity like module cleaning, weather activity like cloudy along with total power generation forecasting for effective and efficient management of solar power plants. The power generation decay is different for all the PV sets which show the variations in the impacts of weather, aging and maintenance on the solar power plant. This research work has proven that the peaks of total power generation forecasting and prediction can be tracked in a better way by using daily unscheduled, scheduled maintenance activities and weather conditions.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128061409","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 Case Study of Renewable Energy Trading in a Peer-to-Peer Microgrid Based Network using Blockchain Technology 基于区块链技术的点对点微电网中可再生能源交易案例研究

2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT) Pub Date : 2023-03-11 DOI: 10.1109/GlobConHT56829.2023.10087585

Mousam Ghosh, Swarnankur Ghosh, Sukanta Halder, Pratikanta Mishra

引用次数: 0