Pub Date : 2019-06-23DOI: 10.1109/PTC.2019.8810889
Ahmad Nikoobakht, J. Aghaei, M. Lotfi, C. João P. S., G. Osório, M. Shafie‐khah
This paper presents an AC optimal power flow (AC-OPF) model including flexible resources (FRs) to handle uncertain wind power generation (WPG). The FRs considered are thermal units with up/down re-dispatching capability, corrective topology control (CTC), and thyristor-controlled series capacitors (TCSC). WPG uncertainty has been modeled through a proposed interval-based robust approach, the goal of which is to maximize the variation range of WPG uncertainty in power systems while maintaining an adequate reliability level at a reasonable cost with the aid of FRs. However, utilization of FRs (especially CTC and TCSC devices) is limited due to the difficulty of their incorporation in the AC-OPF. The optimization framework of the full FR-augmented AC-OPF problem is a mixed-integer nonlinear programming (MINLP) in which the solution for large-scale systems is very hard to obtain. To solve this issue, this paper uses a two-stage decomposition algorithm to decompose the MINLP representation into a mixed-integer linear program (MILP) and a nonlinear program (NLP). Finally, the robust AC-OPF model with FRs is implemented and tested on a 6-bus and the IEEE 118-bus test systems to evaluate its efficiency and performance.
{"title":"Flexible Co-Operation of TCSC and Corrective Topology Control under Wind Uncertainty: An Interval-based Robust Approach","authors":"Ahmad Nikoobakht, J. Aghaei, M. Lotfi, C. João P. S., G. Osório, M. Shafie‐khah","doi":"10.1109/PTC.2019.8810889","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810889","url":null,"abstract":"This paper presents an AC optimal power flow (AC-OPF) model including flexible resources (FRs) to handle uncertain wind power generation (WPG). The FRs considered are thermal units with up/down re-dispatching capability, corrective topology control (CTC), and thyristor-controlled series capacitors (TCSC). WPG uncertainty has been modeled through a proposed interval-based robust approach, the goal of which is to maximize the variation range of WPG uncertainty in power systems while maintaining an adequate reliability level at a reasonable cost with the aid of FRs. However, utilization of FRs (especially CTC and TCSC devices) is limited due to the difficulty of their incorporation in the AC-OPF. The optimization framework of the full FR-augmented AC-OPF problem is a mixed-integer nonlinear programming (MINLP) in which the solution for large-scale systems is very hard to obtain. To solve this issue, this paper uses a two-stage decomposition algorithm to decompose the MINLP representation into a mixed-integer linear program (MILP) and a nonlinear program (NLP). Finally, the robust AC-OPF model with FRs is implemented and tested on a 6-bus and the IEEE 118-bus test systems to evaluate its efficiency and performance.","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121925452","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 : 2019-06-23DOI: 10.1109/PTC.2019.8810602
H. Palahalli, Y. Huo, G. Gruosso
The idea of this paper is to present a Real Time co-simulation of microgrid components coupling the software and hardware tools. The Simulation of the microgrid has to cope with different constraints, the first one is the nonlinear model behavior obtained by solving Differential algebraic equations of the mathematical model, and fast simulation of control strategies like voltage and frequency regulation present in the grid, latter is the data communication in the microgrid. The AC and DC section of the microgrid will be split and emulated in two different hardware having different real-time architectures, and they will be co-simulated in real-time by using an interfacing algorithm over Ethernet, enabling the emulation of the communication network as seen in smart grids. In this work, the National Instruments hardware NI myRIO is integrated to co-simulate the Smart grid behavior with Simulink Desktop Real-Time.
{"title":"Implementation overview of a novel approach to Smart Microgrid Real Time Simulation","authors":"H. Palahalli, Y. Huo, G. Gruosso","doi":"10.1109/PTC.2019.8810602","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810602","url":null,"abstract":"The idea of this paper is to present a Real Time co-simulation of microgrid components coupling the software and hardware tools. The Simulation of the microgrid has to cope with different constraints, the first one is the nonlinear model behavior obtained by solving Differential algebraic equations of the mathematical model, and fast simulation of control strategies like voltage and frequency regulation present in the grid, latter is the data communication in the microgrid. The AC and DC section of the microgrid will be split and emulated in two different hardware having different real-time architectures, and they will be co-simulated in real-time by using an interfacing algorithm over Ethernet, enabling the emulation of the communication network as seen in smart grids. In this work, the National Instruments hardware NI myRIO is integrated to co-simulate the Smart grid behavior with Simulink Desktop Real-Time.","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124968649","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 : 2019-06-23DOI: 10.1109/PTC.2019.8810967
H. J. Kaleybar, S. S. Fazel, Arefeh Rasi Vayghan, M. Brenna, F. Foiadelli
Power Quality (PQ) conditioning in electric railway systems (ERSs) is an increasing concern with the rapid development process of high-speed and high-power trains. Over the years, several solutions have been presented to mitigate the PQ problems of ERSs. Railway power conditioners (RPCs) are known as one of the most promising solutions. They have attracted experts attention during the last decade due to their prominent performance. The complexity, and time-varying features of ERS and trains as loads have led the difficulties of RPCs controlling. In this paper, a model predictive control based method using modified dual-loop instantaneous reactive power theory (MPC-DIRP) is proposed to enhance the compensation and dynamic performance of RPC. Improving dynamic tracking capability, higher accuracy and lower fluctuation, together with the simple implementation structure are the worth-mentioning advantages of the proposed method. The detailed simulations have been to verify the proposed control method effectiveness.
{"title":"Performance Improvement of Railway Power Conditioner with Model Predictive Control Approach","authors":"H. J. Kaleybar, S. S. Fazel, Arefeh Rasi Vayghan, M. Brenna, F. Foiadelli","doi":"10.1109/PTC.2019.8810967","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810967","url":null,"abstract":"Power Quality (PQ) conditioning in electric railway systems (ERSs) is an increasing concern with the rapid development process of high-speed and high-power trains. Over the years, several solutions have been presented to mitigate the PQ problems of ERSs. Railway power conditioners (RPCs) are known as one of the most promising solutions. They have attracted experts attention during the last decade due to their prominent performance. The complexity, and time-varying features of ERS and trains as loads have led the difficulties of RPCs controlling. In this paper, a model predictive control based method using modified dual-loop instantaneous reactive power theory (MPC-DIRP) is proposed to enhance the compensation and dynamic performance of RPC. Improving dynamic tracking capability, higher accuracy and lower fluctuation, together with the simple implementation structure are the worth-mentioning advantages of the proposed method. The detailed simulations have been to verify the proposed control method effectiveness.","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":"107 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125029620","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 : 2019-06-23DOI: 10.1109/PTC.2019.8810828
P. Dicke, R. German, F. Steinbacher, Barbara Schricker
Batteries grew into an integral part of our daily routine. To simulate their behavior a multitude of modeling approaches have evolved. The Kinetic Battery Model as one prime representative is utilized manifoldly in relevant literature due to its intuitive representation of the electrochemical processes inside the cell. However, it is largely applied to depict only the discharging phase, often either not taking into account that parameters and operational modes for charging differ or completely neglecting the charging procedure.Hence, in this work we take an extensive look at describing the different modes of operation, the re-parametrization and redistribution in the Kinetic Battery Model, which has to take place when switching the electric current direction. We outline difficulties of parametrizing every operational mode, propose a novel approach handling these problems as well as a redistribution strategy and validate it with experimental data. First results are presented for a lithium-ion cell.
{"title":"Operation Mode Transitions in the Kinetic Battery Model","authors":"P. Dicke, R. German, F. Steinbacher, Barbara Schricker","doi":"10.1109/PTC.2019.8810828","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810828","url":null,"abstract":"Batteries grew into an integral part of our daily routine. To simulate their behavior a multitude of modeling approaches have evolved. The Kinetic Battery Model as one prime representative is utilized manifoldly in relevant literature due to its intuitive representation of the electrochemical processes inside the cell. However, it is largely applied to depict only the discharging phase, often either not taking into account that parameters and operational modes for charging differ or completely neglecting the charging procedure.Hence, in this work we take an extensive look at describing the different modes of operation, the re-parametrization and redistribution in the Kinetic Battery Model, which has to take place when switching the electric current direction. We outline difficulties of parametrizing every operational mode, propose a novel approach handling these problems as well as a redistribution strategy and validate it with experimental data. First results are presented for a lithium-ion cell.","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130413767","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 : 2019-06-23DOI: 10.1109/PTC.2019.8810778
M. Saffari, M. S. Misaghian, D. Flynn, M. Kia, V. Vahidinasab, M. Lotfi, J. Catalão, M. Shafie‐khah
An increasing implementation of renewable sources and electric vehicles can be of help in reducing the total operational cost of a power system, affecting power system technical operation. To this end, a multi-objective optimisation method using Normalised Normal Constraint (NNC) is applied in this paper by which two competitive objectives are considered: Minimisation of Active Distribution System (ADS) operational cost and minimisation of ADS power losses. Meanwhile, the uncertain behaviour of wind, photovoltaic units, and arrival and departure time of electric vehicles are considered. The proposed model is a multi-objective problem which comprises two stochastic stages and is simulated under GAMS environment on a modified IEEE 18-bus test system. The results clearly represent the trade-off between economic and technical benefits of the considered ADS. Furthermore, the effect of electric vehicles charging and discharging tariffs on the operational cost of the system are shown.
{"title":"Multi-Objective Optimisation of an Active Distribution System using Normalised Normal Constraint Method","authors":"M. Saffari, M. S. Misaghian, D. Flynn, M. Kia, V. Vahidinasab, M. Lotfi, J. Catalão, M. Shafie‐khah","doi":"10.1109/PTC.2019.8810778","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810778","url":null,"abstract":"An increasing implementation of renewable sources and electric vehicles can be of help in reducing the total operational cost of a power system, affecting power system technical operation. To this end, a multi-objective optimisation method using Normalised Normal Constraint (NNC) is applied in this paper by which two competitive objectives are considered: Minimisation of Active Distribution System (ADS) operational cost and minimisation of ADS power losses. Meanwhile, the uncertain behaviour of wind, photovoltaic units, and arrival and departure time of electric vehicles are considered. The proposed model is a multi-objective problem which comprises two stochastic stages and is simulated under GAMS environment on a modified IEEE 18-bus test system. The results clearly represent the trade-off between economic and technical benefits of the considered ADS. Furthermore, the effect of electric vehicles charging and discharging tariffs on the operational cost of the system are shown.","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129510991","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 : 2019-06-23DOI: 10.1109/PTC.2019.8810909
A. Bertinato, P. Torwelle, Guilherme DANTAS DE FREITAS, M. Colmenero, B. Raison
Symmetrical monopolar is nowadays one of the most common architecture employed in HVDC point-to-point interconnectors using Modular Multilevel Converter (MMC) technology. Future HVDC grids built in a stepwise approach, starting from the connection of the existing and future symmetric monopolar HVDC links, are therefore a possibility that can be taken into account. In such symmetrical monopolar configuration, a pole-to-ground fault in a DC link results in a low steady state DC fault current but it entails large overvoltage of the healthy pole. This paper proposes a novel pole-to-ground fault protection strategy for HVDC grids under symmetrical monopolar configuration employing low-speed DC breakers and pole rebalancing reactor (PRR) located at AC side to manage the rebalancing of the pole voltages. The first part of the paper is dedicated to the detailed description of the primary and backup protection sequences. In the second part, the proposed concept is validated through EMT simulations performed on a 4-terminal HVDC grid.
{"title":"Pole-to-ground fault protection strategy for HVDC grids under symmetrical monopolar configuration","authors":"A. Bertinato, P. Torwelle, Guilherme DANTAS DE FREITAS, M. Colmenero, B. Raison","doi":"10.1109/PTC.2019.8810909","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810909","url":null,"abstract":"Symmetrical monopolar is nowadays one of the most common architecture employed in HVDC point-to-point interconnectors using Modular Multilevel Converter (MMC) technology. Future HVDC grids built in a stepwise approach, starting from the connection of the existing and future symmetric monopolar HVDC links, are therefore a possibility that can be taken into account. In such symmetrical monopolar configuration, a pole-to-ground fault in a DC link results in a low steady state DC fault current but it entails large overvoltage of the healthy pole. This paper proposes a novel pole-to-ground fault protection strategy for HVDC grids under symmetrical monopolar configuration employing low-speed DC breakers and pole rebalancing reactor (PRR) located at AC side to manage the rebalancing of the pole voltages. The first part of the paper is dedicated to the detailed description of the primary and backup protection sequences. In the second part, the proposed concept is validated through EMT simulations performed on a 4-terminal HVDC grid.","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131045178","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 : 2019-06-23DOI: 10.1109/PTC.2019.8810995
Á. Espín-Delgado, S. Rönnberg, M. Bollen
This article discusses the accuracy of the method recommended by the IEC 60287-1-1 for including skin and proximity effect in the estimation of the ac resistance of two parallel conductors at the supraharmonic range (2-150 kHz). The IEC resistance model is compared against a generalized model in order to visualize and quantify the error incurred when using the standard’s simplified formula for typical low-voltage conductors carrying supraharmonic distortion. The study reveals that the cable resistance model used impacts the resonance peak attenuation, leading the IEC formula to show errors as significant as 14%.
{"title":"Expression for Conductor Resistance in the Frequency Range 2-150 kHz","authors":"Á. Espín-Delgado, S. Rönnberg, M. Bollen","doi":"10.1109/PTC.2019.8810995","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810995","url":null,"abstract":"This article discusses the accuracy of the method recommended by the IEC 60287-1-1 for including skin and proximity effect in the estimation of the ac resistance of two parallel conductors at the supraharmonic range (2-150 kHz). The IEC resistance model is compared against a generalized model in order to visualize and quantify the error incurred when using the standard’s simplified formula for typical low-voltage conductors carrying supraharmonic distortion. The study reveals that the cable resistance model used impacts the resonance peak attenuation, leading the IEC formula to show errors as significant as 14%.","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129699238","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 : 2019-06-23DOI: 10.1109/PTC.2019.8810527
P. Staudt, B. Rausch, Johannes Gärttner, Christof Weinhardt
The increase of renewable electricity capacity and the intermittent nature of renewable generation create a constant mismatch between spatial generation and consumption patterns and the necessary transmission infrastructure. Therefore, congestion management strategies are becoming more and more vital for the electricity system. While markets in the United States or Norway traditionally implement market-based congestion management schemes, markets with a uniform market clearing price often rely on redispatch. Current congestion forecasts are computationally expensive and cannot be frequently updated as new weather information becomes available. We propose a forecasting mechanism based on an artificial neural network using only publicly available day-ahead data making a case against market based redispatch mechanisms. We validate the approach using empirical data and benchmark it against a Naïve classification method. We find that the algorithm performs well on the tested data predicting the majority of congested lines yielding high values of precision and recall.
{"title":"Predicting Transmission Line Congestion in Energy Systems with a High Share of Renewables","authors":"P. Staudt, B. Rausch, Johannes Gärttner, Christof Weinhardt","doi":"10.1109/PTC.2019.8810527","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810527","url":null,"abstract":"The increase of renewable electricity capacity and the intermittent nature of renewable generation create a constant mismatch between spatial generation and consumption patterns and the necessary transmission infrastructure. Therefore, congestion management strategies are becoming more and more vital for the electricity system. While markets in the United States or Norway traditionally implement market-based congestion management schemes, markets with a uniform market clearing price often rely on redispatch. Current congestion forecasts are computationally expensive and cannot be frequently updated as new weather information becomes available. We propose a forecasting mechanism based on an artificial neural network using only publicly available day-ahead data making a case against market based redispatch mechanisms. We validate the approach using empirical data and benchmark it against a Naïve classification method. We find that the algorithm performs well on the tested data predicting the majority of congested lines yielding high values of precision and recall.","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":"842 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132948468","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 : 2019-06-23DOI: 10.1109/PTC.2019.8810472
Raphael Bleilevens, Alexander M. Jaschek, A. Moser
This paper presents a novel model including an approximation function to approximate the DC short circuit current contribution by converters with DC fault ride-through capability. The intended field of application of this model is a fast algebraic short circuit current calculation for DC distribution grid planning. In a first step, converter topologies with DC fault ride-through capability and the current contribution of these converter topologies are presented. Afterwards, based on preliminary investigations an approximation function to approximate the current contribution is derived. Finally, the derived model is validated by comparing the current contributions of the model with results of detailed transient simulations.
{"title":"Approximation of Current Contribution by Converters with DC Fault Ride-Through Capability for Short Circuit Current Calculation of DC Distribution Grids","authors":"Raphael Bleilevens, Alexander M. Jaschek, A. Moser","doi":"10.1109/PTC.2019.8810472","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810472","url":null,"abstract":"This paper presents a novel model including an approximation function to approximate the DC short circuit current contribution by converters with DC fault ride-through capability. The intended field of application of this model is a fast algebraic short circuit current calculation for DC distribution grid planning. In a first step, converter topologies with DC fault ride-through capability and the current contribution of these converter topologies are presented. Afterwards, based on preliminary investigations an approximation function to approximate the current contribution is derived. Finally, the derived model is validated by comparing the current contributions of the model with results of detailed transient simulations.","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134387908","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 : 2019-06-23DOI: 10.1109/PTC.2019.8810641
Lahiru Jayasuriya, M. Chaudry, Meysam Qadrdan, Jianzhong Wu, N. Jenkins
Current energy transitions towards the use of more distributed generation, as well as the decarbonisation of heat and transport, are changing the operation of local energy distribution systems. The impact of these local changes on a national scale energy supply system is not well understood. An energy hub approach was integrated into a national scale gas and electricity transmission networks model (CGEN), to represent local energy distribution systems. The energy hub models the integrated operation of electricity, natural gas and heat distribution systems. The distribution system within a region is described in terms of energy supply sources, conversion technologies and storage systems. Transmission supply points link the energy hubs with the gas and electricity transmission networks. A case study was conducted to investigate the impacts on model outputs by integrating energy hubs into the CGEN model. Preliminary results indicate that the operation of distributed generation and storage in energy hubs have a direct impact on electricity and natural gas supply in the transmission networks. The proposed methodology, therefore, extends the analytical capability of the CGEN model across multiple scales and vectors including heat.
{"title":"Energy Hub Modelling for Multi-Scale and Multi-Energy Supply Systems","authors":"Lahiru Jayasuriya, M. Chaudry, Meysam Qadrdan, Jianzhong Wu, N. Jenkins","doi":"10.1109/PTC.2019.8810641","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810641","url":null,"abstract":"Current energy transitions towards the use of more distributed generation, as well as the decarbonisation of heat and transport, are changing the operation of local energy distribution systems. The impact of these local changes on a national scale energy supply system is not well understood. An energy hub approach was integrated into a national scale gas and electricity transmission networks model (CGEN), to represent local energy distribution systems. The energy hub models the integrated operation of electricity, natural gas and heat distribution systems. The distribution system within a region is described in terms of energy supply sources, conversion technologies and storage systems. Transmission supply points link the energy hubs with the gas and electricity transmission networks. A case study was conducted to investigate the impacts on model outputs by integrating energy hubs into the CGEN model. Preliminary results indicate that the operation of distributed generation and storage in energy hubs have a direct impact on electricity and natural gas supply in the transmission networks. The proposed methodology, therefore, extends the analytical capability of the CGEN model across multiple scales and vectors including heat.","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117247258","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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