Pub Date : 2023-03-11DOI: 10.1109/GlobConHT56829.2023.10087864
M. Senapati, Khaled Al Jaafaari, K. Al Hosani, Utkal Ranjan Muduli
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.
{"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}
Pub Date : 2023-03-11DOI: 10.1109/GlobConHT56829.2023.10087412
P. Bana, M. Amin
Recently, Artificial Neural Network (ANN)-based controllers have been extensively investigated for grid-connected VSC systems. Despite having several advantageous features, the black-box modelling of the ANN controller makes it less industry attractive. This paper reveals the working mechanism of the ANN current controller and its interaction with the VSC system through the small-signal modelling approach. The ANN controller is trained with the standard PI-controller data before deploying for testing. Afterward, state-space equations of the VSC system and ANN controller are derived to develop the small-signal model. The derived model is verified against the time-domain simulation results obtained from the non-linear MATLAB/Simulink model. The small-signal model is then utilised to study the stability of the system. The system and ANN controller behaviour are also studied by performing the participation factor and parametric sensitivity analysis to the small-signal model.
{"title":"State-space Modelling and Stability Analysis of ANN controller for Grid-connected VSC System","authors":"P. Bana, M. Amin","doi":"10.1109/GlobConHT56829.2023.10087412","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087412","url":null,"abstract":"Recently, Artificial Neural Network (ANN)-based controllers have been extensively investigated for grid-connected VSC systems. Despite having several advantageous features, the black-box modelling of the ANN controller makes it less industry attractive. This paper reveals the working mechanism of the ANN current controller and its interaction with the VSC system through the small-signal modelling approach. The ANN controller is trained with the standard PI-controller data before deploying for testing. Afterward, state-space equations of the VSC system and ANN controller are derived to develop the small-signal model. The derived model is verified against the time-domain simulation results obtained from the non-linear MATLAB/Simulink model. The small-signal model is then utilised to study the stability of the system. The system and ANN controller behaviour are also studied by performing the participation factor and parametric sensitivity analysis to the small-signal model.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"67 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":"129282390","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}
Pub Date : 2023-03-11DOI: 10.1109/GlobConHT56829.2023.10087697
S. Karmakar, Bhim Singh
In this paper, a grid connected large-capacity solar photovoltaic (PV) plant is configured with an 18-pulse SHE-PWM modulated voltage source converters (VSCs). The battery energy storage (BES) is used with the solar PV plant to store solar energy during daytime and supply to the grid at night. BES is also allowed the solar PV plant to participate in the grid for primary frequency control. This 18-pulse SHE-PWM VSC is configured using three different phase-shifted medium voltage (MV) transformers to realize the 18-pulse voltage waveform and thus from VSC output, voltage harmonics of lower order are eliminated. Further, the VSC is soft-switched using selective harmonics elimination (SHE) pulse-width modulation (PWM) technique to reduce the higher-order harmonics contained in the VSC output voltage. A 150MWp solar PV plant with 75MW and 300MWh BES dynamic and steady-state response are obtained MATLAB-Simulink.
{"title":"Multi-Pulse SHE-PWM Modulated VSC Based Grid Connected Large-Capacity Solar PV Plant with Battery Energy Storage","authors":"S. Karmakar, Bhim Singh","doi":"10.1109/GlobConHT56829.2023.10087697","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087697","url":null,"abstract":"In this paper, a grid connected large-capacity solar photovoltaic (PV) plant is configured with an 18-pulse SHE-PWM modulated voltage source converters (VSCs). The battery energy storage (BES) is used with the solar PV plant to store solar energy during daytime and supply to the grid at night. BES is also allowed the solar PV plant to participate in the grid for primary frequency control. This 18-pulse SHE-PWM VSC is configured using three different phase-shifted medium voltage (MV) transformers to realize the 18-pulse voltage waveform and thus from VSC output, voltage harmonics of lower order are eliminated. Further, the VSC is soft-switched using selective harmonics elimination (SHE) pulse-width modulation (PWM) technique to reduce the higher-order harmonics contained in the VSC output voltage. A 150MWp solar PV plant with 75MW and 300MWh BES dynamic and steady-state response are obtained MATLAB-Simulink.","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":"121144433","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}
Pub Date : 2023-03-11DOI: 10.1109/GlobConHT56829.2023.10087560
Olatunji Ahmed, J. Teh
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.
{"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}
Pub Date : 2023-03-11DOI: 10.1109/GlobConHT56829.2023.10087529
A. Jain, K. Panda, S. Bhullar
Photovoltaic-based Unified Power Quality Conditioner (PV-UPQC) is one of the custom power devices widely employed for power quality improvement. A simplified control strategy is proposed for the PV-UPQC system with the objective to regulate the dc-link voltage, compensate the harmonics in grid current, and provide suitable control during a sudden change in the grid side or load side. Individual series and shunt converters in UPQC are controlled based on simplified instantaneous active and reactive power control theory that ultimately improves the power quality. Besides, active and reactive power flow between the PV, grid and load is also managed while maintaining the minimum dc-link ripple and balanced dc-link voltage. Interfacing inductors on both ends limits the high-frequency components. Different test cases are simulated in the Simulink platform to show the effectiveness in providing robust control for compensating power quality problems.
{"title":"Operation of Unified Power Quality Conditioner with Photovoltaic Arrays","authors":"A. Jain, K. Panda, S. Bhullar","doi":"10.1109/GlobConHT56829.2023.10087529","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087529","url":null,"abstract":"Photovoltaic-based Unified Power Quality Conditioner (PV-UPQC) is one of the custom power devices widely employed for power quality improvement. A simplified control strategy is proposed for the PV-UPQC system with the objective to regulate the dc-link voltage, compensate the harmonics in grid current, and provide suitable control during a sudden change in the grid side or load side. Individual series and shunt converters in UPQC are controlled based on simplified instantaneous active and reactive power control theory that ultimately improves the power quality. Besides, active and reactive power flow between the PV, grid and load is also managed while maintaining the minimum dc-link ripple and balanced dc-link voltage. Interfacing inductors on both ends limits the high-frequency components. Different test cases are simulated in the Simulink platform to show the effectiveness in providing robust control for compensating power quality problems.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"83 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":"114347672","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}
Pub Date : 2023-03-11DOI: 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
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.
{"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}
Pub Date : 2023-03-11DOI: 10.1109/GlobConHT56829.2023.10087368
Md Mahmudul Hasan, R. Kannan, Lo Hai Hiung, M. Khan, S. M. S. Lumen, Hussein Shutari
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.
{"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}
Pub Date : 2023-03-11DOI: 10.1109/GlobConHT56829.2023.10087698
Z. B. Durham, A. El-Shahat, H. Mageed, Samu Blitch, Zain Mirza
Electric Vehicles (EV s) such as e-bikes, e-scooters, and e-skateboards become the most popular Eco-friendly personal modes of transportation in the United States. These EVs are mostly recharged via the power grid's stations. Grid power is generated through multiple means including hydroelectric, thermal, solar, and wind. Even with using EVs to reduce the dangerous effects of fuel burning, there is a real need to take major steps towards green charging approaches. Charging EVs through renewable energy resources is maximizing the ecologically friendly potentials. The aim of this work is to provide a green and sustainable charging system for personal electric vehicles. Hence, a solar-powered charging dock has been built and controlled by an Arduino Mega 2560 adding to a Raspberry Pi 4. Subsequently, solar panel tracker linear actuator has been applied to be integrated with the installed dock solar panel tracking system for delivering maximum precision while operating. To get economic and reliable dock, it has been constructed from wood.
电动自行车、电动滑板车、电动滑板等电动汽车成为美国最受欢迎的环保个人交通工具。这些电动汽车大多通过电网的充电站充电。电网电力是通过多种方式产生的，包括水电、热能、太阳能和风能。即使使用电动汽车来减少燃料燃烧的危险影响，也确实需要采取重大步骤来实现绿色充电方法。通过可再生能源为电动汽车充电是最大限度地发挥生态友好潜力。这项工作的目的是为个人电动汽车提供一个绿色和可持续的充电系统。因此，已经建立了一个太阳能充电基座，并由Arduino Mega 2560添加到树莓派4控制。随后，应用太阳能电池板跟踪器线性执行器与已安装的船坞太阳能电池板跟踪系统集成，在运行时提供最大的精度。为了使船坞经济可靠，船坞采用木质结构。
{"title":"Solar Charging Dock for Personal Electric Vehicles","authors":"Z. B. Durham, A. El-Shahat, H. Mageed, Samu Blitch, Zain Mirza","doi":"10.1109/GlobConHT56829.2023.10087698","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087698","url":null,"abstract":"Electric Vehicles (EV s) such as e-bikes, e-scooters, and e-skateboards become the most popular Eco-friendly personal modes of transportation in the United States. These EVs are mostly recharged via the power grid's stations. Grid power is generated through multiple means including hydroelectric, thermal, solar, and wind. Even with using EVs to reduce the dangerous effects of fuel burning, there is a real need to take major steps towards green charging approaches. Charging EVs through renewable energy resources is maximizing the ecologically friendly potentials. The aim of this work is to provide a green and sustainable charging system for personal electric vehicles. Hence, a solar-powered charging dock has been built and controlled by an Arduino Mega 2560 adding to a Raspberry Pi 4. Subsequently, solar panel tracker linear actuator has been applied to be integrated with the installed dock solar panel tracking system for delivering maximum precision while operating. To get economic and reliable dock, it has been constructed from wood.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"42 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":"127625783","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}
Pub Date : 2023-03-11DOI: 10.1109/GlobConHT56829.2023.10087613
S. Vyas, Sanskar Bhuwania, S. Mishra, Hardik Patel, Brijesh Tripathi
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.
{"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}
Integration of Renewable Energy (RE) in residential house level is the ardent interest of researchers and further trading of surplus energy in Microgrid are highly effective instead of battery storage by reducing effective recurring cost. Further for higher reliability such trading can be integrated with Blockchain based technology. In view of these, this paper illustrates with a case study a scheme of RE trading in a Microgrid, integrated with Blockchain based P2P network.
{"title":"A Case Study of Renewable Energy Trading in a Peer-to-Peer Microgrid Based Network using Blockchain Technology","authors":"Mousam Ghosh, Swarnankur Ghosh, Sukanta Halder, Pratikanta Mishra","doi":"10.1109/GlobConHT56829.2023.10087585","DOIUrl":"https://doi.org/10.1109/GlobConHT56829.2023.10087585","url":null,"abstract":"Integration of Renewable Energy (RE) in residential house level is the ardent interest of researchers and further trading of surplus energy in Microgrid are highly effective instead of battery storage by reducing effective recurring cost. Further for higher reliability such trading can be integrated with Blockchain based technology. In view of these, this paper illustrates with a case study a scheme of RE trading in a Microgrid, integrated with Blockchain based P2P network.","PeriodicalId":355921,"journal":{"name":"2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)","volume":"5 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":"125806873","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}
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