Pub Date : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917995
Michael Richter, G. Mehlmann, M. Luther
The converter transformer of a VSC HVDC station can be driven into saturation caused by external grid events as short-circuits or the energization of nearby transformers. These effects are classified as inrush phenomena and named recovery inrush and sympathetic inrush, respectively. In this paper, a thorough study on different influencing factors on the inrush magnitude and its impact on the operation of the HVDC system is analyzed based on electromagnetic transient analysis using an average based EMT MMC HVDC model. As important parameters for the analysis of the recovery inrush the short-circuit ratio, the time point of fault inception and the fault duration, the fault distance and the fault resistance are selected. The impact of these parameters on the inrush intensity and the transients of the transformer and converter currents as well as active and reactive powers during the inrush events are analyzed and worst-case scenarios evaluated. By evaluation of internal converter signals, it is checked whether the converter is able to maintain stability for different inrush intensities.
{"title":"Impact of recovery and sympathetic inrush phenomena on VSC HVDC systems","authors":"Michael Richter, G. Mehlmann, M. Luther","doi":"10.1109/UPEC55022.2022.9917995","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917995","url":null,"abstract":"The converter transformer of a VSC HVDC station can be driven into saturation caused by external grid events as short-circuits or the energization of nearby transformers. These effects are classified as inrush phenomena and named recovery inrush and sympathetic inrush, respectively. In this paper, a thorough study on different influencing factors on the inrush magnitude and its impact on the operation of the HVDC system is analyzed based on electromagnetic transient analysis using an average based EMT MMC HVDC model. As important parameters for the analysis of the recovery inrush the short-circuit ratio, the time point of fault inception and the fault duration, the fault distance and the fault resistance are selected. The impact of these parameters on the inrush intensity and the transients of the transformer and converter currents as well as active and reactive powers during the inrush events are analyzed and worst-case scenarios evaluated. By evaluation of internal converter signals, it is checked whether the converter is able to maintain stability for different inrush intensities.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132713128","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917680
Ndamulelo Mararakanye, B. Bekker
Forecast errors in wind power forecasting are unavoidable due to the complex nature of weather systems and other influences. As a result, quantifying wind power uncertainty is essential for optimally operating grids with a high share of wind energy. This paper uses the quantile smoothing splines (QSS) regression to estimate conditional quantiles of wind power forecast error for a given wind power forecast. This approach is tested using data from eight wind farms in South Africa and evaluated using reliability, sharpness, resolution, and skill score. The results are compared to that of two commonly used approaches: linear regression and fitting beta distributions in different bins. Despite the slight superiority of QSS regression, this paper finds that the results of QSS regression and fitting beta distributions in different bins are comparable. The benefit of using QSS regression, however, is that it is a nonparametric approach that produces smooth results with no discontinuities, and no need for parameter estimations for each bin, making it easily applicable. System operators can use the estimated quantiles to allocate operating reserves and hence ensure the efficient integration of wind farms into the power grid.
{"title":"Estimating Wind Power Uncertainty using Quantile Smoothing Splines Regression","authors":"Ndamulelo Mararakanye, B. Bekker","doi":"10.1109/UPEC55022.2022.9917680","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917680","url":null,"abstract":"Forecast errors in wind power forecasting are unavoidable due to the complex nature of weather systems and other influences. As a result, quantifying wind power uncertainty is essential for optimally operating grids with a high share of wind energy. This paper uses the quantile smoothing splines (QSS) regression to estimate conditional quantiles of wind power forecast error for a given wind power forecast. This approach is tested using data from eight wind farms in South Africa and evaluated using reliability, sharpness, resolution, and skill score. The results are compared to that of two commonly used approaches: linear regression and fitting beta distributions in different bins. Despite the slight superiority of QSS regression, this paper finds that the results of QSS regression and fitting beta distributions in different bins are comparable. The benefit of using QSS regression, however, is that it is a nonparametric approach that produces smooth results with no discontinuities, and no need for parameter estimations for each bin, making it easily applicable. System operators can use the estimated quantiles to allocate operating reserves and hence ensure the efficient integration of wind farms into the power grid.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132816136","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917877
Dennis Rösch, Omar Farghaly, Rohan Suri, Pooja Dahane, S. Nicolai, P. Bretschneider
Our already presented co-simulation, consisting of a real-time power grid simulation and a virtualization of the communication infrastructure, enables a joint and holistic view of the two subsystems. If the IEC 61850 communication standard is used throughout, a substation can be completely described in terms of network technology in their defined substation configuration language (SCL). Our framework presented here enables the automated initialization of the virtual network and its transfer to co-simulation. The complete mapping of different IEC 61850 communication services generates a complete, process-relevant database of network traffic. For purpose of our co-simulation approach, with coupling on the process bus, the focus lies on the IEC 61850-8-1 Manufacturing Message Specification (MMS) and Generic Object-Oriented Substation Event (GOOSE) communication and the relations between initialized Intelligent Electronic Devices (IEDs). Based exclusively on IEC 61850 substation configuration descriptions (SCD), the framework enables this implementation of a simplified static communication network using network virtualization. All consisting Access points with underlying IEDs, Logical Devices, Logical Nodes and Data Objects are specified and used to rebuild an existing IEC 61850 communication infrastructure and initialize the relevant communication services. The research shows the possibilities and limitations of the automated generation of the network for use in co-simulation.
{"title":"VirtualSubstation: An IEC 61850 framework for a Containernet based virtual substation","authors":"Dennis Rösch, Omar Farghaly, Rohan Suri, Pooja Dahane, S. Nicolai, P. Bretschneider","doi":"10.1109/UPEC55022.2022.9917877","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917877","url":null,"abstract":"Our already presented co-simulation, consisting of a real-time power grid simulation and a virtualization of the communication infrastructure, enables a joint and holistic view of the two subsystems. If the IEC 61850 communication standard is used throughout, a substation can be completely described in terms of network technology in their defined substation configuration language (SCL). Our framework presented here enables the automated initialization of the virtual network and its transfer to co-simulation. The complete mapping of different IEC 61850 communication services generates a complete, process-relevant database of network traffic. For purpose of our co-simulation approach, with coupling on the process bus, the focus lies on the IEC 61850-8-1 Manufacturing Message Specification (MMS) and Generic Object-Oriented Substation Event (GOOSE) communication and the relations between initialized Intelligent Electronic Devices (IEDs). Based exclusively on IEC 61850 substation configuration descriptions (SCD), the framework enables this implementation of a simplified static communication network using network virtualization. All consisting Access points with underlying IEDs, Logical Devices, Logical Nodes and Data Objects are specified and used to rebuild an existing IEC 61850 communication infrastructure and initialize the relevant communication services. The research shows the possibilities and limitations of the automated generation of the network for use in co-simulation.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128305128","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917941
Timea Farkas, Paula Ungureşan, M. Crețu, D. Şteţ, L. Czumbil, A. Ceclan, C. Mureşan, A. Polycarpou, D. Micu
The paper investigates hybrid energy systems that could be applied in case of a swimming pool complex in order to reduce exploitation costs and increase renewable energy usage. The presented approach starts with the assessment of the chosen building at the level of energy consumption, and utility costs, along with two proposed system configurations: one proposed by the RE-COGNITION innovation project, and one proposed by the authors based on the market solutions. The mentioned cases represent two hybrid energy systems using conventional sources, renewable energy, and highly efficient cogeneration units. The two proposed system configurations are simulated using the HOMER Pro program which allows a wide analysis along with techno-economic indicators of the different scenarios. Results and comparisons are presented to highlight the feasibility of the two proposed cases.
{"title":"Hybrid Energy System Analysis for a Swimming Pool Complex using HOMER Pro","authors":"Timea Farkas, Paula Ungureşan, M. Crețu, D. Şteţ, L. Czumbil, A. Ceclan, C. Mureşan, A. Polycarpou, D. Micu","doi":"10.1109/UPEC55022.2022.9917941","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917941","url":null,"abstract":"The paper investigates hybrid energy systems that could be applied in case of a swimming pool complex in order to reduce exploitation costs and increase renewable energy usage. The presented approach starts with the assessment of the chosen building at the level of energy consumption, and utility costs, along with two proposed system configurations: one proposed by the RE-COGNITION innovation project, and one proposed by the authors based on the market solutions. The mentioned cases represent two hybrid energy systems using conventional sources, renewable energy, and highly efficient cogeneration units. The two proposed system configurations are simulated using the HOMER Pro program which allows a wide analysis along with techno-economic indicators of the different scenarios. Results and comparisons are presented to highlight the feasibility of the two proposed cases.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132239599","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917939
Macit Tozak, S. Taskin, Ibrahim Sengor
Grid forming control for inverter-dominated power systems of the future is crucial as it enables more renewable penetration and provides enhanced stability. In this paper, a power system that consists of both Synchronous Machines (SM) and Grid Forming Controlled PV system is modeled and simulated in MATLAB®/Simulink®. Moreover, the real parameters of laboratory pieces of equipment in Manisa Celal Bayar University Smart Grid Laboratory (MCBU-SGLab) are used throughout the study. In addition, various Grid Forming Converter control methods such as droop control, matching control, and dispatchable virtual oscillator control are compared in terms of frequency stability under different conditions.
{"title":"Performance Analysis of Grid Forming Converters for a Didactic Smart Grid System","authors":"Macit Tozak, S. Taskin, Ibrahim Sengor","doi":"10.1109/UPEC55022.2022.9917939","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917939","url":null,"abstract":"Grid forming control for inverter-dominated power systems of the future is crucial as it enables more renewable penetration and provides enhanced stability. In this paper, a power system that consists of both Synchronous Machines (SM) and Grid Forming Controlled PV system is modeled and simulated in MATLAB®/Simulink®. Moreover, the real parameters of laboratory pieces of equipment in Manisa Celal Bayar University Smart Grid Laboratory (MCBU-SGLab) are used throughout the study. In addition, various Grid Forming Converter control methods such as droop control, matching control, and dispatchable virtual oscillator control are compared in terms of frequency stability under different conditions.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"174 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122999537","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917693
K. Makinde, M. Al-Greer
The majority of the controllers are designed around linearized small signal models of switching power converters. These models often encounter shortfalls in capturing the dynamics and underlying behaviours of the switching converters. Hence, in order to comply with the stringent requirement for voltage regulation in many modern applications which are plagued by non-idealities such as load disturbance and varying parameters, the use of adaptive, nonlinear and intelligent controllers becomes pivotal. It is against this backdrop that this paper proposes a data driven control using a four-layered feedforward neural network controller which is able to achieve a near-optimal performance in the output waveforms of a synchronous dc-dc buck converter. The training data for the neural network are extracted from the simulation of the converter using the designed type II compensator in current mode control with load current feedforward, considering wide range of dynamic changes in load current and input voltage. Results clearly show that the proposed ANN controller gives better performance than the conventional Type-II and Type-III compensators.
{"title":"Data-Driven Control of DC-DC Power Converters Using Levenberg-Marquardt Backpropagation Algorithm","authors":"K. Makinde, M. Al-Greer","doi":"10.1109/UPEC55022.2022.9917693","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917693","url":null,"abstract":"The majority of the controllers are designed around linearized small signal models of switching power converters. These models often encounter shortfalls in capturing the dynamics and underlying behaviours of the switching converters. Hence, in order to comply with the stringent requirement for voltage regulation in many modern applications which are plagued by non-idealities such as load disturbance and varying parameters, the use of adaptive, nonlinear and intelligent controllers becomes pivotal. It is against this backdrop that this paper proposes a data driven control using a four-layered feedforward neural network controller which is able to achieve a near-optimal performance in the output waveforms of a synchronous dc-dc buck converter. The training data for the neural network are extracted from the simulation of the converter using the designed type II compensator in current mode control with load current feedforward, considering wide range of dynamic changes in load current and input voltage. Results clearly show that the proposed ANN controller gives better performance than the conventional Type-II and Type-III compensators.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125424010","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917688
Othman Abdusalam, Fatih Anayi, M. Packianather
Transformers are essential equipment in a power system and require reliable solutions for their protection to ensure smooth operation. This paper proposes a new method based on an alienation coefficient analysis of waveforms to discriminate between external and internal faults that may take place in a three-phase transformer. This method depends on variations in the waveforms of currents which occur due to faults. it depends on the three phase current measurements which can be calculated on the transformer, and thus, does not need extra devices. This method can be used for fault detection and classifying faulty phases. For usage in advanced protection plans, the alienation strategy is appropriate in this field. The new technique was practically applied in the laboratory, and the results were obtained using the MATLAB and LabVIEW software. The proposed technique is quick to such an extent that it can provide conclusions in less than 3ms.
{"title":"Discrimination between internal current and external fault in three phase power transformer by Using alienation coefficient","authors":"Othman Abdusalam, Fatih Anayi, M. Packianather","doi":"10.1109/UPEC55022.2022.9917688","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917688","url":null,"abstract":"Transformers are essential equipment in a power system and require reliable solutions for their protection to ensure smooth operation. This paper proposes a new method based on an alienation coefficient analysis of waveforms to discriminate between external and internal faults that may take place in a three-phase transformer. This method depends on variations in the waveforms of currents which occur due to faults. it depends on the three phase current measurements which can be calculated on the transformer, and thus, does not need extra devices. This method can be used for fault detection and classifying faulty phases. For usage in advanced protection plans, the alienation strategy is appropriate in this field. The new technique was practically applied in the laboratory, and the results were obtained using the MATLAB and LabVIEW software. The proposed technique is quick to such an extent that it can provide conclusions in less than 3ms.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126178000","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917628
M. R. Ghazali, Mohd Ashraf Ahmad, M. H. Suid, M. Tumari
Model-free PID control is currently utilized for the examination of a DC/DC Buck-Boost Converter-Inverter-DC motor structure in this study through optimization of the adaptive safe experimentation dynamics (ASED) method. PID controller has been popularized on its uncomplicated construct, convenient employment with limited tuneable parameters, and broad applicability to diverse mechanistic circumstances. Demonstrated nonlinearity, complexity, and high dimensional parameters within MIMO structure of the DC/DC Buck-Boost Converter-Inverter-DC motor then demand controller with immense precision. The ASED method is hereby adopted as the optimization approach with considerable precision as needed towards fine-tuning the PID controller for its ability to minimize both output of control tracking and energy consumption at reduced processing interval by the exclusion of mathematical modeling in assessing input and output of the system. Traced outcomes regarding voltage of the converter and bidirectional angular velocity are further accounted for performance appraisal of the recommended motor system equipping model-free PID controller following optimization of the ASED approach. A comparison was further operationalized between the proposed ASED approach and its conventional SED-based counterpart. Convergence stability was successively reached by the proposed approach via undertaken simulation with minimization of the specified objective function. Acquired results hereby confirmed smaller values of the objective function and total norm error by the ASED approach towards the precision of operation tracing against the performance of its conventional counterpart.
{"title":"A DC/DC Buck-Boost Converter-Inverter-DC Motor Control based on model-free PID Controller tuning by Adaptive Safe Experimentation Dynamics Algorithm","authors":"M. R. Ghazali, Mohd Ashraf Ahmad, M. H. Suid, M. Tumari","doi":"10.1109/UPEC55022.2022.9917628","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917628","url":null,"abstract":"Model-free PID control is currently utilized for the examination of a DC/DC Buck-Boost Converter-Inverter-DC motor structure in this study through optimization of the adaptive safe experimentation dynamics (ASED) method. PID controller has been popularized on its uncomplicated construct, convenient employment with limited tuneable parameters, and broad applicability to diverse mechanistic circumstances. Demonstrated nonlinearity, complexity, and high dimensional parameters within MIMO structure of the DC/DC Buck-Boost Converter-Inverter-DC motor then demand controller with immense precision. The ASED method is hereby adopted as the optimization approach with considerable precision as needed towards fine-tuning the PID controller for its ability to minimize both output of control tracking and energy consumption at reduced processing interval by the exclusion of mathematical modeling in assessing input and output of the system. Traced outcomes regarding voltage of the converter and bidirectional angular velocity are further accounted for performance appraisal of the recommended motor system equipping model-free PID controller following optimization of the ASED approach. A comparison was further operationalized between the proposed ASED approach and its conventional SED-based counterpart. Convergence stability was successively reached by the proposed approach via undertaken simulation with minimization of the specified objective function. Acquired results hereby confirmed smaller values of the objective function and total norm error by the ASED approach towards the precision of operation tracing against the performance of its conventional counterpart.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125094190","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917578
F. Al-Jowder
This paper studies the effect of a strong wind gust on the stability of a series capacitor compensated thermal power system with Fixed Speed Wind Turbine Generators (FSWTGs). The IEEE first benchmark model (IEEE-FBM) for Subsynchronous Resonance (SSR) studies has been adopted and modified to perform the study. The influence of the strong wind gust on the stability of the system is investigated at different degrees of series compensation and power rating of the FSWTGs. Time domain simulations using PSCAD are employed to perform the study. Simulation results showed that strong wind gusts can cause instability in the system.
{"title":"Stability of Series Capacitor Compensated Thermal Power System with FSWTGs under Strong Wind Gust","authors":"F. Al-Jowder","doi":"10.1109/UPEC55022.2022.9917578","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917578","url":null,"abstract":"This paper studies the effect of a strong wind gust on the stability of a series capacitor compensated thermal power system with Fixed Speed Wind Turbine Generators (FSWTGs). The IEEE first benchmark model (IEEE-FBM) for Subsynchronous Resonance (SSR) studies has been adopted and modified to perform the study. The influence of the strong wind gust on the stability of the system is investigated at different degrees of series compensation and power rating of the FSWTGs. Time domain simulations using PSCAD are employed to perform the study. Simulation results showed that strong wind gusts can cause instability in the system.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123715787","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 : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917883
Simone Striani, Kristian Sevdari, M. Marinelli, Vasileios Lampropoulos, Yuki Kobayashi, Kenta Suzuki
Smart charging has a strong potential to mitigate the challenges in security of supply caused by the increasing reliance on renewable energy sources (RESs) and electric vehicles (EVs). This paper describes the performances of an autonomous distributed control for coordinating the charge of four parking lots as part of a virtual power plant. The virtual power plant consists of a wind farm and four parking lots located in different areas of the grid and connected to two different feeders. The control architecture is applied to a 24-hour simulation with input data from a wind park, the loading data of two feeders, and user behavior from 68 EVs. The objectives of the architecture are: maximization of the wind power usage to charge the EVs; minimization of feeders overloading; minimization of energy imported from the grid; assurance of sufficient charging fulfillment; wind power variability mitigation. Under simulated conditions, the control architecture keeps the feeder loading below 80% by reducing the power allowance to the parking lot during peak demand. Nonetheless the four parking lots guarantee an energy charged of 10.7 kWh for all EVs starting the charging session with less than 60% state of charge (SOC). The total energy produced by the wind power plant is 4.36 MWh, of which 1.34 MWh is used to charge EVs. The remaining 3.07 MWh is exported to the grid, and only 92 kWh is imported from the grid for charging. Further investigation is needed regarding the wind power variability mitigation, as its reduction is only marginal under simulated conditions.
{"title":"Wind Based Charging via Autonomously Controlled EV Chargers under Grid Constraints","authors":"Simone Striani, Kristian Sevdari, M. Marinelli, Vasileios Lampropoulos, Yuki Kobayashi, Kenta Suzuki","doi":"10.1109/UPEC55022.2022.9917883","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917883","url":null,"abstract":"Smart charging has a strong potential to mitigate the challenges in security of supply caused by the increasing reliance on renewable energy sources (RESs) and electric vehicles (EVs). This paper describes the performances of an autonomous distributed control for coordinating the charge of four parking lots as part of a virtual power plant. The virtual power plant consists of a wind farm and four parking lots located in different areas of the grid and connected to two different feeders. The control architecture is applied to a 24-hour simulation with input data from a wind park, the loading data of two feeders, and user behavior from 68 EVs. The objectives of the architecture are: maximization of the wind power usage to charge the EVs; minimization of feeders overloading; minimization of energy imported from the grid; assurance of sufficient charging fulfillment; wind power variability mitigation. Under simulated conditions, the control architecture keeps the feeder loading below 80% by reducing the power allowance to the parking lot during peak demand. Nonetheless the four parking lots guarantee an energy charged of 10.7 kWh for all EVs starting the charging session with less than 60% state of charge (SOC). The total energy produced by the wind power plant is 4.36 MWh, of which 1.34 MWh is used to charge EVs. The remaining 3.07 MWh is exported to the grid, and only 92 kWh is imported from the grid for charging. Further investigation is needed regarding the wind power variability mitigation, as its reduction is only marginal under simulated conditions.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122750390","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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