Pub Date : 2017-08-01DOI: 10.1109/UPEC.2017.8231941
W. H. Kazeza, S. Daniel Chowdhury
This paper is based on the performance of the Brushless Direct Current Motor (BLDCM) centrifugal pump set fed by wide input voltage solar photovoltaic (PV) generator using Quasi Z Source Inverter (QZSI). The aim of this paper is to develop water pumping control loops enabling the system load line operating point to track and match that of the centrifugal pump best efficiency point (BEP) along the Head Flow rate curve (HQ curve). In this way, the pumping scheme operates at optimal points and achieves highest allowable centrifugal pump efficiency with long-term safe operation. Considering the wide input voltage range of solar photovoltaic (PV) power generator, this paper presents a novel BLDCM adjustable speed drive to ensure continuous water pumping at the highest allowable efficiency. The designed water pumping system has been modeled and studied in Matlab Simulink. It was found that throughout the steady state operation under highly variable solar PV generated power, the system load line operating point was always in the vicinity of that of the centrifugal pumps BEP. The recorded best efficiency point tracking (BEPT) was found to be 96%. Presented result means that with the proposed BEPT mapping algorithm, the power drawn from the PV generator is optimal for the intended usage of water transport in a context of highly variable supplied power.
{"title":"Three phase Quasi Z source inverter fed solar PV wide input voltage range for BLDCM pumps","authors":"W. H. Kazeza, S. Daniel Chowdhury","doi":"10.1109/UPEC.2017.8231941","DOIUrl":"https://doi.org/10.1109/UPEC.2017.8231941","url":null,"abstract":"This paper is based on the performance of the Brushless Direct Current Motor (BLDCM) centrifugal pump set fed by wide input voltage solar photovoltaic (PV) generator using Quasi Z Source Inverter (QZSI). The aim of this paper is to develop water pumping control loops enabling the system load line operating point to track and match that of the centrifugal pump best efficiency point (BEP) along the Head Flow rate curve (HQ curve). In this way, the pumping scheme operates at optimal points and achieves highest allowable centrifugal pump efficiency with long-term safe operation. Considering the wide input voltage range of solar photovoltaic (PV) power generator, this paper presents a novel BLDCM adjustable speed drive to ensure continuous water pumping at the highest allowable efficiency. The designed water pumping system has been modeled and studied in Matlab Simulink. It was found that throughout the steady state operation under highly variable solar PV generated power, the system load line operating point was always in the vicinity of that of the centrifugal pumps BEP. The recorded best efficiency point tracking (BEPT) was found to be 96%. Presented result means that with the proposed BEPT mapping algorithm, the power drawn from the PV generator is optimal for the intended usage of water transport in a context of highly variable supplied power.","PeriodicalId":272049,"journal":{"name":"2017 52nd International Universities Power Engineering Conference (UPEC)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128214898","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 : 2017-08-01DOI: 10.1109/UPEC.2017.8232027
Hanmin Cai, S. You, H. Bindner, Sergey Klyapovskiy, Xiaochen Yang, Rongling Li
Multi-energy system (MES) operation calls for active management of flexible resources across energy sectors to improve efficiency and meet challenging environmental targets. Electric heat booster, a solution for Domestic Hot Water (DHW) preparation under Low-Temperature-District-Heating (LTDH) context, is identified as one of aforementioned flexible resources for electricity and heat sectors. This paper extends the concept of optimal load scheduling under day-ahead pricing from electricity sector only to both electricity and heat sectors. A case study constructing day-ahead energy prices to shift energy consumption to low carbon content energy is provided. Results show that 0.5 DKK/kWhel add-ons on top of electricity spot price makes electricity and heat price not comparable such that electricity price variation will have no impact on load scheduling. This result suggests aforementioned concept is not feasible with current Danish electricity taxation.
{"title":"Optimal scheduling for electric heat booster under day-ahead electricity and heat pricing","authors":"Hanmin Cai, S. You, H. Bindner, Sergey Klyapovskiy, Xiaochen Yang, Rongling Li","doi":"10.1109/UPEC.2017.8232027","DOIUrl":"https://doi.org/10.1109/UPEC.2017.8232027","url":null,"abstract":"Multi-energy system (MES) operation calls for active management of flexible resources across energy sectors to improve efficiency and meet challenging environmental targets. Electric heat booster, a solution for Domestic Hot Water (DHW) preparation under Low-Temperature-District-Heating (LTDH) context, is identified as one of aforementioned flexible resources for electricity and heat sectors. This paper extends the concept of optimal load scheduling under day-ahead pricing from electricity sector only to both electricity and heat sectors. A case study constructing day-ahead energy prices to shift energy consumption to low carbon content energy is provided. Results show that 0.5 DKK/kWhel add-ons on top of electricity spot price makes electricity and heat price not comparable such that electricity price variation will have no impact on load scheduling. This result suggests aforementioned concept is not feasible with current Danish electricity taxation.","PeriodicalId":272049,"journal":{"name":"2017 52nd International Universities Power Engineering Conference (UPEC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127820504","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 : 2017-08-01DOI: 10.1109/UPEC.2017.8231995
L. Lipan
Greenhouse gas emission and climatic changes constitute major problems at an international level. That is why it is great importance to increase energy efficiency on large scale. New advanced power analysis platforms and new control algorithms are developed, in order to administrate the electricity consumption. I intended to give a clear image and a better understanding of the airport's power consumption. That is because data analysis is easy to be used for monitoring energy efficiency and elaborating optimization measures to improve power performance. Based on the measurements achieved in real time and control devices, the following characteristic curves have been extracted for the airport lighting systems. A specific lighting system at the airport is quite disturbing, as can be seen from the monitored data at the airport user (lighting system) and the voltage bar general supply (20kV) as well as the power bars of neighboring users.
{"title":"Contributing to energy efficiency of lighting systems in an international airport","authors":"L. Lipan","doi":"10.1109/UPEC.2017.8231995","DOIUrl":"https://doi.org/10.1109/UPEC.2017.8231995","url":null,"abstract":"Greenhouse gas emission and climatic changes constitute major problems at an international level. That is why it is great importance to increase energy efficiency on large scale. New advanced power analysis platforms and new control algorithms are developed, in order to administrate the electricity consumption. I intended to give a clear image and a better understanding of the airport's power consumption. That is because data analysis is easy to be used for monitoring energy efficiency and elaborating optimization measures to improve power performance. Based on the measurements achieved in real time and control devices, the following characteristic curves have been extracted for the airport lighting systems. A specific lighting system at the airport is quite disturbing, as can be seen from the monitored data at the airport user (lighting system) and the voltage bar general supply (20kV) as well as the power bars of neighboring users.","PeriodicalId":272049,"journal":{"name":"2017 52nd International Universities Power Engineering Conference (UPEC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127910913","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 : 2017-08-01DOI: 10.1109/UPEC.2017.8231899
Priscila Ebert, S. Freitag, M. Sperandio
The System Dynamics is a modeling tool that allows to represent and to understand the dynamic behavior of complex systems, presenting the linear and nonlinear relations between the variables. The dynamics of a system is generated by the feedback of information among the variables that compose it, over time this feedback can change the behavior of the system. Despite being widely used in the electrical sector, the System Dynamics tool is still little known by researchers in the sector, so the present work aims to present some applications of this technique in order to increase knowledge about this tool.
{"title":"Applications of system dynamics in the electrical sector","authors":"Priscila Ebert, S. Freitag, M. Sperandio","doi":"10.1109/UPEC.2017.8231899","DOIUrl":"https://doi.org/10.1109/UPEC.2017.8231899","url":null,"abstract":"The System Dynamics is a modeling tool that allows to represent and to understand the dynamic behavior of complex systems, presenting the linear and nonlinear relations between the variables. The dynamics of a system is generated by the feedback of information among the variables that compose it, over time this feedback can change the behavior of the system. Despite being widely used in the electrical sector, the System Dynamics tool is still little known by researchers in the sector, so the present work aims to present some applications of this technique in order to increase knowledge about this tool.","PeriodicalId":272049,"journal":{"name":"2017 52nd International Universities Power Engineering Conference (UPEC)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121466854","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 : 2017-08-01DOI: 10.1109/UPEC.2017.8231926
Ahmed S. Al-Toma, G. Taylor, M. Abbod
The goal of this paper is to design a wind turbine generator operated under variable speed with intelligent pitch angle control capability under variable wind conditions. The control scheme for the variable speed wind turbines has been discussed and analysed using wind turbines driven by the permanent magnet generators connected to the grid. Main strategies of conventional control and intelligent control using fuzzy logic have been explained and compared to each other. Simulated output variables of voltage, current and power are also presented in this paper for various values of wind speed.
{"title":"Intelligent pitch angle control scheme for variable speed wind generator systems","authors":"Ahmed S. Al-Toma, G. Taylor, M. Abbod","doi":"10.1109/UPEC.2017.8231926","DOIUrl":"https://doi.org/10.1109/UPEC.2017.8231926","url":null,"abstract":"The goal of this paper is to design a wind turbine generator operated under variable speed with intelligent pitch angle control capability under variable wind conditions. The control scheme for the variable speed wind turbines has been discussed and analysed using wind turbines driven by the permanent magnet generators connected to the grid. Main strategies of conventional control and intelligent control using fuzzy logic have been explained and compared to each other. Simulated output variables of voltage, current and power are also presented in this paper for various values of wind speed.","PeriodicalId":272049,"journal":{"name":"2017 52nd International Universities Power Engineering Conference (UPEC)","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127372405","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 : 2017-08-01DOI: 10.1109/UPEC.2017.8232029
Stella Dimitra Tragianni, K. Oureilidis, C. Demoulias
Power volatility of grid-tied photovoltaic (PV) sources can be responsible for various power quality issues in utility grids with high renewable sources penetration. Problems such as voltage flickering or frequency deviations can become more severe for isolated grids or islanded microgrids. Various solutions have been proposed to address these issues, mainly based on smoothing the PV output power by adding a storage device. In case of utilizing a hybrid PV/storage DC/AC converter, any abrupt changes in the power output of the PV due to cloud passing are absorbed by controlling the charge and discharge of the storage system. Therefore a storage system based on supercapacitors with quick time response and increased power density is proposed. This paper compares two different “power smoothing” methodologies in a PV installation, considering a supercapacitor in the common DC-link. The first power smoothing method is based on the moving average algorithm, while the second on controlling the rate of change of the power injected to the grid. The main target focuses on providing comparative results for both control strategies, by implementing simulation tests with real irradiation measurements. A comparative study is also conducted for the sizing of the energy storage, based on the real irradiation profile created to remark the real energy needs of the installation and prevent over-sizing of the supercapacitor. The results show a significant difference in storage size, depending on the power smoothing method implemented, thus a careful consideration of the grid requirements is necessary.
{"title":"Supercapacitor sizing based on comparative study of PV power smoothing methods","authors":"Stella Dimitra Tragianni, K. Oureilidis, C. Demoulias","doi":"10.1109/UPEC.2017.8232029","DOIUrl":"https://doi.org/10.1109/UPEC.2017.8232029","url":null,"abstract":"Power volatility of grid-tied photovoltaic (PV) sources can be responsible for various power quality issues in utility grids with high renewable sources penetration. Problems such as voltage flickering or frequency deviations can become more severe for isolated grids or islanded microgrids. Various solutions have been proposed to address these issues, mainly based on smoothing the PV output power by adding a storage device. In case of utilizing a hybrid PV/storage DC/AC converter, any abrupt changes in the power output of the PV due to cloud passing are absorbed by controlling the charge and discharge of the storage system. Therefore a storage system based on supercapacitors with quick time response and increased power density is proposed. This paper compares two different “power smoothing” methodologies in a PV installation, considering a supercapacitor in the common DC-link. The first power smoothing method is based on the moving average algorithm, while the second on controlling the rate of change of the power injected to the grid. The main target focuses on providing comparative results for both control strategies, by implementing simulation tests with real irradiation measurements. A comparative study is also conducted for the sizing of the energy storage, based on the real irradiation profile created to remark the real energy needs of the installation and prevent over-sizing of the supercapacitor. The results show a significant difference in storage size, depending on the power smoothing method implemented, thus a careful consideration of the grid requirements is necessary.","PeriodicalId":272049,"journal":{"name":"2017 52nd International Universities Power Engineering Conference (UPEC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126668979","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 : 2017-08-01DOI: 10.1109/UPEC.2017.8231939
V. Papadopoulos, Thijs Delerue, Jurgen Van Ryckeghem, J. Desmet
Energy Storage Systems will play crucial role in controlling the grid of the future when increased penetration of renewable energy sources will take place. Especially batteries are expected to occupy a considerable share of the total energy storage market by simultaneously providing services to different stakeholders such as energy producers, transmission/distribution operators, residential, commercial and industrial consumers. Nowadays, Peak shaving and Time-of-Use applications are the most common services that standalone battery storage systems can provide to industrial consumers (without integrated PV-systems and/or wind turbines). A big part of the existing literature addressing such applications aims at developing an offline algorithm for optimal battery deployment based on a known load profile (or accurately predicted) without taking into consideration real time conditions. This paper investigates the impact of industrial load forecasting errors on dispatching strategies of battery storage systems on economically driven peak shaving and Time-of-Use applications. An artificial neural network has been developed and used as a prediction model of an industrial load profile. The neural network was trained, validated and tested on historical load data with time resolution of 15 minutes, provided by the local distribution operator of the Belgian electric grid. The performance of the neural network in terms of output-target regression and mean absolute error is 0.833 and 10.02% respectively. Afterwards, a simulation was carried out comparing four different scenarios of peak shaving. The results show that the prediction accuracy of the presented neural network is not competitive enough. Peak shaving based on predicted profiles becomes reliable for lower forecasting errors. For this purpose, further access into the process and types of loads of the user is required in order to come up with a more sophisticated prediction model.
{"title":"Assessing the impact of load forecasting accuracy on battery dispatching strategies with respect to Peak Shaving and Time-of-Use (TOU) applications for industrial consumers","authors":"V. Papadopoulos, Thijs Delerue, Jurgen Van Ryckeghem, J. Desmet","doi":"10.1109/UPEC.2017.8231939","DOIUrl":"https://doi.org/10.1109/UPEC.2017.8231939","url":null,"abstract":"Energy Storage Systems will play crucial role in controlling the grid of the future when increased penetration of renewable energy sources will take place. Especially batteries are expected to occupy a considerable share of the total energy storage market by simultaneously providing services to different stakeholders such as energy producers, transmission/distribution operators, residential, commercial and industrial consumers. Nowadays, Peak shaving and Time-of-Use applications are the most common services that standalone battery storage systems can provide to industrial consumers (without integrated PV-systems and/or wind turbines). A big part of the existing literature addressing such applications aims at developing an offline algorithm for optimal battery deployment based on a known load profile (or accurately predicted) without taking into consideration real time conditions. This paper investigates the impact of industrial load forecasting errors on dispatching strategies of battery storage systems on economically driven peak shaving and Time-of-Use applications. An artificial neural network has been developed and used as a prediction model of an industrial load profile. The neural network was trained, validated and tested on historical load data with time resolution of 15 minutes, provided by the local distribution operator of the Belgian electric grid. The performance of the neural network in terms of output-target regression and mean absolute error is 0.833 and 10.02% respectively. Afterwards, a simulation was carried out comparing four different scenarios of peak shaving. The results show that the prediction accuracy of the presented neural network is not competitive enough. Peak shaving based on predicted profiles becomes reliable for lower forecasting errors. For this purpose, further access into the process and types of loads of the user is required in order to come up with a more sophisticated prediction model.","PeriodicalId":272049,"journal":{"name":"2017 52nd International Universities Power Engineering Conference (UPEC)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124828633","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 : 2017-08-01DOI: 10.1109/UPEC.2017.8231927
A. Ermolaev, A. Plekhov, D. Titov, A. Anuchin, Y. Vagapov
This paper discusses an adaptive algorithm to control a magnetorheological fluid vibration isolator operating under varying frequency of the vibration source. The algorithm provides automatic tuning of the isolator properties by controlling the viscosity of magnetorheological fluid in the throttle channels. This ensures efficient damping and vibration protection at the main harmonic of a varying vibrational frequency. The frequency finding approach utilised in the proposed adaptive control is much simpler than applying Fourier analysis and does not require significant computational resources. The control algorithm has been implemented into a FPGA based controller and tested using a laboratory vibration shaker. The test results demonstrated that the MR vibration isolator operating under the proposed algorithm provides an efficient damping at various vibrational frequencies.
{"title":"Adaptive control of magnetorheological fluid damper","authors":"A. Ermolaev, A. Plekhov, D. Titov, A. Anuchin, Y. Vagapov","doi":"10.1109/UPEC.2017.8231927","DOIUrl":"https://doi.org/10.1109/UPEC.2017.8231927","url":null,"abstract":"This paper discusses an adaptive algorithm to control a magnetorheological fluid vibration isolator operating under varying frequency of the vibration source. The algorithm provides automatic tuning of the isolator properties by controlling the viscosity of magnetorheological fluid in the throttle channels. This ensures efficient damping and vibration protection at the main harmonic of a varying vibrational frequency. The frequency finding approach utilised in the proposed adaptive control is much simpler than applying Fourier analysis and does not require significant computational resources. The control algorithm has been implemented into a FPGA based controller and tested using a laboratory vibration shaker. The test results demonstrated that the MR vibration isolator operating under the proposed algorithm provides an efficient damping at various vibrational frequencies.","PeriodicalId":272049,"journal":{"name":"2017 52nd International Universities Power Engineering Conference (UPEC)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124155585","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 : 2017-08-01DOI: 10.1109/UPEC.2017.8232014
N. Karthikeyan, Basanta Raj Pokhrel, J. Pillai, B. Bak‐Jensen, Kenn H. B. Frederiksen
In this paper, application of demand response to accommodate maximum PV power in a low-voltage distribution network is discussed. A centralized control based on model predictive control method is proposed for the computation of optimal demand response on an hourly basis. The proposed method uses PV generation and load forecasts, network topology and market price signals as inputs, limits of network voltages, line power flows, transformer loading and demand response dynamics as constraints to find the required demand response at each time step. The proposed method can be used by the DSOs to purchase the required flexibility from the electricity market through an aggregator. The optimum demand response enables consumption of maximum renewable energy within the network constraints. Simulation studies are conducted using Matlab and DigSilent Power factory software on a Danish low-voltage distribution system. Simulation results show that the proposed method is effective for calculating the optimum demand response. From the test scenarios, it is inferred that absorption of renewable energy from PV increased by 38% applying optimum demand response during the evaluation period in the studied distribution network.
本文讨论了需求响应在低压配电网中适应最大光伏功率的应用。提出了一种基于模型预测控制的集中控制方法，以小时为单位计算最优需求响应。该方法以光伏发电和负荷预测、电网拓扑和市场价格信号为输入，以电网电压限值、线路潮流、变压器负荷和需求响应动态为约束，求出各时间步所需的需求响应。该方法可用于dso通过聚合器从电力市场购买所需的灵活性。最优需求响应使可再生能源的最大消耗在网络约束下。利用Matlab和DigSilent Power factory软件对丹麦低压配电系统进行了仿真研究。仿真结果表明，该方法能够有效地计算出最优需求响应。从测试场景可以推断，在评估期内，应用最优需求响应，研究的配电网光伏可再生能源的吸收增加了38%。
{"title":"Demand response in low voltage distribution networks with high PV penetration","authors":"N. Karthikeyan, Basanta Raj Pokhrel, J. Pillai, B. Bak‐Jensen, Kenn H. B. Frederiksen","doi":"10.1109/UPEC.2017.8232014","DOIUrl":"https://doi.org/10.1109/UPEC.2017.8232014","url":null,"abstract":"In this paper, application of demand response to accommodate maximum PV power in a low-voltage distribution network is discussed. A centralized control based on model predictive control method is proposed for the computation of optimal demand response on an hourly basis. The proposed method uses PV generation and load forecasts, network topology and market price signals as inputs, limits of network voltages, line power flows, transformer loading and demand response dynamics as constraints to find the required demand response at each time step. The proposed method can be used by the DSOs to purchase the required flexibility from the electricity market through an aggregator. The optimum demand response enables consumption of maximum renewable energy within the network constraints. Simulation studies are conducted using Matlab and DigSilent Power factory software on a Danish low-voltage distribution system. Simulation results show that the proposed method is effective for calculating the optimum demand response. From the test scenarios, it is inferred that absorption of renewable energy from PV increased by 38% applying optimum demand response during the evaluation period in the studied distribution network.","PeriodicalId":272049,"journal":{"name":"2017 52nd International Universities Power Engineering Conference (UPEC)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121690425","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 : 2017-08-01DOI: 10.1109/UPEC.2017.8231973
Marjan Gjelaj, C. Træholt, S. Hashemi, P. B. Andersen
The increasing penetration of Electric Vehicles (EVs) and their charging systems is representing new high-power consumption loads for the distribution system operators (DSOs). To solve the problem of the EV range in terms of driving kilometers, the car manufacturers have invested resources on new EV models by increasing the size of the batteries. To satisfy EV load demand of the new EV models in urban areas the public DC Fast-Charging Station (DCFCS) is indispensable to recharge EVs rapidly. The introduction of the Battery Energy Storage within the DCFCSs is considered in this paper an alternative solution to reduce the operational costs of the charging stations as well as the ability to mitigate negative impacts during the congestion on the power grids. An accurate description of the DCFCS and its design system has been implemented, which is able to decouple the peak load demand caused by EVs on the main grid and decrease the connection fees. Finally, an economic evaluation is done to evaluate the feasibility and the cost-benefit analysis (CBA) of the DCFCSs. The proposed approach considers various technical and economic issues, such as cost of installation, connection fees and life cycle cost of the batteries. The proposed cost-benefit analysis can be used to verify the effectiveness and applicability of DCFCS in large scale.
{"title":"Cost-benefit analysis of a novel DC fast-charging station with a local battery storage for EVs","authors":"Marjan Gjelaj, C. Træholt, S. Hashemi, P. B. Andersen","doi":"10.1109/UPEC.2017.8231973","DOIUrl":"https://doi.org/10.1109/UPEC.2017.8231973","url":null,"abstract":"The increasing penetration of Electric Vehicles (EVs) and their charging systems is representing new high-power consumption loads for the distribution system operators (DSOs). To solve the problem of the EV range in terms of driving kilometers, the car manufacturers have invested resources on new EV models by increasing the size of the batteries. To satisfy EV load demand of the new EV models in urban areas the public DC Fast-Charging Station (DCFCS) is indispensable to recharge EVs rapidly. The introduction of the Battery Energy Storage within the DCFCSs is considered in this paper an alternative solution to reduce the operational costs of the charging stations as well as the ability to mitigate negative impacts during the congestion on the power grids. An accurate description of the DCFCS and its design system has been implemented, which is able to decouple the peak load demand caused by EVs on the main grid and decrease the connection fees. Finally, an economic evaluation is done to evaluate the feasibility and the cost-benefit analysis (CBA) of the DCFCSs. The proposed approach considers various technical and economic issues, such as cost of installation, connection fees and life cycle cost of the batteries. The proposed cost-benefit analysis can be used to verify the effectiveness and applicability of DCFCS in large scale.","PeriodicalId":272049,"journal":{"name":"2017 52nd International Universities Power Engineering Conference (UPEC)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124800865","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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