Pub Date : 2019-06-23DOI: 10.1109/PTC.2019.8810850
M. Lotfi, P. S. João Catalão, M. Javadi, A. E. Nezhad, M. Shafie‐khah
This paper demonstrates day-ahead operation of power systems in the presence of a Demand Response Program (DRP) for serving exact amounts of demanded energy over the operational horizon. The proposed two-stage model features a here-and-now framework for shaping the aggregated demands during operation. First, the day-ahead scheduling problem is solved by adopting Unit Commitment (UC) to determine the generation level of power generation units as well as the Locational Marginal Prices (LMPs). Afterwards, the obtained LMPs are considered as the Time of Use (ToU) for the second step of the scheduling and reshaping the demanded loads of each aggregator. A new methodology is provided in this paper to estimate the reaction of consumers behavior in terms of encouraging their participation in DRPs. Unlike classical models which adopt load reduction over the operational horizon, this model ensures that the total demanded loads will be served. Therefore, the total supplied energy for the operational period before and after DRP implementation remains unchanged. Meanwhile, the total payment of consumers will be considerably reduced by adopting this strategy. The simulation results on the 6-bus test system clarify that the proposed model can reduce the total operational cost as well as smoothen the load profile and nodal prices over the operational horizon.
本文演示了在需求响应计划(DRP)存在的情况下电力系统的日前运行，以便在运行范围内提供准确数量的所需能源。所提出的两阶段模型的特点是在操作期间形成汇总需求的“此时此地”框架。首先，采用机组承诺(Unit Commitment, UC)确定发电机组的发电水平，并确定发电机组的位置边际电价(location Marginal price, LMPs)来解决日前调度问题。然后，将获得的LMPs作为第二步调度和重构每个聚合器所需负载的使用时间(Time of Use, ToU)。本文提供了一种新的方法来估计消费者行为在鼓励他们参与DRPs方面的反应。与传统模型不同，该模型采用在运行范围内减少负载的方法，该模型确保满足总需求负载。因此，DRP实施前后运行期间的总供能保持不变。同时，采用这种策略会大大减少消费者的支付总额。在6总线测试系统上的仿真结果表明，该模型可以降低总运行成本，并在运行范围内平滑负载分布和节点价格。
{"title":"Demand Response Program Implementation for Day-Ahead Power System Operation","authors":"M. Lotfi, P. S. João Catalão, M. Javadi, A. E. Nezhad, M. Shafie‐khah","doi":"10.1109/PTC.2019.8810850","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810850","url":null,"abstract":"This paper demonstrates day-ahead operation of power systems in the presence of a Demand Response Program (DRP) for serving exact amounts of demanded energy over the operational horizon. The proposed two-stage model features a here-and-now framework for shaping the aggregated demands during operation. First, the day-ahead scheduling problem is solved by adopting Unit Commitment (UC) to determine the generation level of power generation units as well as the Locational Marginal Prices (LMPs). Afterwards, the obtained LMPs are considered as the Time of Use (ToU) for the second step of the scheduling and reshaping the demanded loads of each aggregator. A new methodology is provided in this paper to estimate the reaction of consumers behavior in terms of encouraging their participation in DRPs. Unlike classical models which adopt load reduction over the operational horizon, this model ensures that the total demanded loads will be served. Therefore, the total supplied energy for the operational period before and after DRP implementation remains unchanged. Meanwhile, the total payment of consumers will be considerably reduced by adopting this strategy. The simulation results on the 6-bus test system clarify that the proposed model can reduce the total operational cost as well as smoothen the load profile and nodal prices over the operational horizon.","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":"4 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":"128348716","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.2019.8810661
Mike Vogt, F. Marten, Juan Montoya, C. Töbermann, M. Braun
Smart grid co-simulations are growing in popularity. A recent survey [1] showed their increasing usage for addressing complex questions regarding modern power systems. Coupling different models and simulations in a co-simulation allows for studying the complex behavior of smart grids or similar complex systems. One particular problem in such a scenario is the way the coupling is performed: this paper presents a reliable REST based web interface, to successfully couple simulations through standardized interfaces that are widely used in the internet. We are showing its capabilities and how disconnects are handled. Two applications are presented, demonstrating the versatility as well as the limits of such an interface.
{"title":"A REST based co-simulation interface for distributed simulations","authors":"Mike Vogt, F. Marten, Juan Montoya, C. Töbermann, M. Braun","doi":"10.1109/PTC.2019.8810661","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810661","url":null,"abstract":"Smart grid co-simulations are growing in popularity. A recent survey [1] showed their increasing usage for addressing complex questions regarding modern power systems. Coupling different models and simulations in a co-simulation allows for studying the complex behavior of smart grids or similar complex systems. One particular problem in such a scenario is the way the coupling is performed: this paper presents a reliable REST based web interface, to successfully couple simulations through standardized interfaces that are widely used in the internet. We are showing its capabilities and how disconnects are handled. Two applications are presented, demonstrating the versatility as well as the limits of such an interface.","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":"16 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":"129831512","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.2019.8810693
A. Bouzid, B. Marinescu, G. Denis
This paper proposes a new strategy for secondary voltage control which is easier to implement and improves the alignment of reactive power of generators The control objectives are revisited from both static and dynamic points of view using the internal model principle. A new alignment strategy for the re-active power generations is proposed along with robust dynamic control. The methodology is applied to interconnected power networks based on real data on EUROSTAG. The simulation results show the performance of the proposed methods to regulate the voltage on the pilot buses at the desired values.
{"title":"Structural Analysis and Improved Reactive Power Alignment for Secondary Voltage Control","authors":"A. Bouzid, B. Marinescu, G. Denis","doi":"10.1109/PTC.2019.8810693","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810693","url":null,"abstract":"This paper proposes a new strategy for secondary voltage control which is easier to implement and improves the alignment of reactive power of generators The control objectives are revisited from both static and dynamic points of view using the internal model principle. A new alignment strategy for the re-active power generations is proposed along with robust dynamic control. The methodology is applied to interconnected power networks based on real data on EUROSTAG. The simulation results show the performance of the proposed methods to regulate the voltage on the pilot buses at the desired values.","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":"129356239","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.2019.8810882
Carlos Tejada-Martínez, F. Espino-cortes, A. Ozdemir, S. Ilhan
In this paper, the Radio Interference (RI) lateral profiles produced by corona discharges in a hybrid transmission line are computed. The applied method is based on the calculation of the conductor surface voltage gradients considering the interaction between AC and DC circuits. Then, the radio interference levels produced by each phase/pole conductor are calculated by means of empirical formulas presented in previous works for two weather conditions: heavy rain and fair weather. Two hybrid line configurations are compared in order to determine which one produces the lowest RI levels. After that, vector optimization is applied in order to minimize the RI levels produced by the best hybrid line configuration, considering three independent variables: subconductors radius, bundle spacing, and the number of subconductors in the bundle. Finally, RI lateral profiles with both nominal and optimal values are compared.
{"title":"Minimization of Radio Interference Levels in a Hybrid Transmission Line","authors":"Carlos Tejada-Martínez, F. Espino-cortes, A. Ozdemir, S. Ilhan","doi":"10.1109/PTC.2019.8810882","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810882","url":null,"abstract":"In this paper, the Radio Interference (RI) lateral profiles produced by corona discharges in a hybrid transmission line are computed. The applied method is based on the calculation of the conductor surface voltage gradients considering the interaction between AC and DC circuits. Then, the radio interference levels produced by each phase/pole conductor are calculated by means of empirical formulas presented in previous works for two weather conditions: heavy rain and fair weather. Two hybrid line configurations are compared in order to determine which one produces the lowest RI levels. After that, vector optimization is applied in order to minimize the RI levels produced by the best hybrid line configuration, considering three independent variables: subconductors radius, bundle spacing, and the number of subconductors in the bundle. Finally, RI lateral profiles with both nominal and optimal values are compared.","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":"2013 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":"127302702","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.2019.8810927
Lin Zhu, Yi Zhao, Yilu Liu, E. Farantatos, Mahendra Patel, Papiya Dattaray, D. Ramasubramanian, L. Michi, E. Carlini, G. Giannuzzi, R. Zaottini
This paper presents the design and demonstration through simulations of a wide-area oscillations damping controller (WADC) for the Italian grid. A simple, linear transfer function model is built using collected ring-down measurements to capture the system’s oscillatory behavior. This constructed transfer function model is utilized for the controller design, instead of a complicated dynamic grid model. A measurement-driven approach is used to tune the parameters of the controller, thus the transfer function model can be updated online to track the variations of the system operating condition. The proposed approach is validated through a case study on the Italian power grid. The optimal observation signal for the controller is selected using Fast Fourier Transform (FFT) analysis of ring-down measurements. Two Compensation Devices (CDs) are selected as the actuators for the WADC. The control effect of the designed controller is shown for an actual undamped oscillation event that took place in December 2017.
{"title":"Oscillation Damping Controller Design Using Ringdown Measurements for the Italian Power Grid","authors":"Lin Zhu, Yi Zhao, Yilu Liu, E. Farantatos, Mahendra Patel, Papiya Dattaray, D. Ramasubramanian, L. Michi, E. Carlini, G. Giannuzzi, R. Zaottini","doi":"10.1109/PTC.2019.8810927","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810927","url":null,"abstract":"This paper presents the design and demonstration through simulations of a wide-area oscillations damping controller (WADC) for the Italian grid. A simple, linear transfer function model is built using collected ring-down measurements to capture the system’s oscillatory behavior. This constructed transfer function model is utilized for the controller design, instead of a complicated dynamic grid model. A measurement-driven approach is used to tune the parameters of the controller, thus the transfer function model can be updated online to track the variations of the system operating condition. The proposed approach is validated through a case study on the Italian power grid. The optimal observation signal for the controller is selected using Fast Fourier Transform (FFT) analysis of ring-down measurements. Two Compensation Devices (CDs) are selected as the actuators for the WADC. The control effect of the designed controller is shown for an actual undamped oscillation event that took place in December 2017.","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":"57 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":"127650732","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.2019.8810406
A. R. Jordehi
In smart homes, under price-based or incentivebased demand response programs, home energy management system (HEMS) aims to determine optimal schedule of appliances in order to minimise electricity bill of the home. This scheduling problem is commonly formulated as a constrained optimisation problem with integer decision variables. Metaheuristics are the most popular algorithms for solving engineering optimisation problems. Grey wolf optimisation (GWO) is a swarm-based metaheuristic optimisation algorithm, inspired from the performance of wolves and has shown promising performance in solving some engineering optimisation problems. In this paper, GWO is used for solving the problem of optimal scheduling of appliances in HEM systems. The problem is solved for two different homes with different set of appliances. For each home, the problem is solved for two cases with different DR programs. The performance of GWO is compared with the well-established particle swarm optimisation (PSO) algorithm. The results indicate the outperformance of the proposed GWO with respect to PSO.
{"title":"Optimal Scheduling of Home Appliances in Home Energy Management Systems Using Grey Wolf Optimisation (Gwo) Algorithm","authors":"A. R. Jordehi","doi":"10.1109/PTC.2019.8810406","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810406","url":null,"abstract":"In smart homes, under price-based or incentivebased demand response programs, home energy management system (HEMS) aims to determine optimal schedule of appliances in order to minimise electricity bill of the home. This scheduling problem is commonly formulated as a constrained optimisation problem with integer decision variables. Metaheuristics are the most popular algorithms for solving engineering optimisation problems. Grey wolf optimisation (GWO) is a swarm-based metaheuristic optimisation algorithm, inspired from the performance of wolves and has shown promising performance in solving some engineering optimisation problems. In this paper, GWO is used for solving the problem of optimal scheduling of appliances in HEM systems. The problem is solved for two different homes with different set of appliances. For each home, the problem is solved for two cases with different DR programs. The performance of GWO is compared with the well-established particle swarm optimisation (PSO) algorithm. The results indicate the outperformance of the proposed GWO with respect to PSO.","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":" 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113949801","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.2019.8810586
Stavros Karagiannopoulos, Roel Dobbe, P. Aristidou, Duncan S. Callaway, G. Hug
Today, system operators rely on local control of distributed energy resources (DERs), such as photovoltaic units, wind turbines and batteries, to increase operational flexibility. These schemes offer a communication-free, robust, cheap, but rather sub-optimal solution and do not fully exploit the DER capabilities. The operational flexibility of active distribution networks can be greatly enhanced by the optimal control of DERs. However, it usually requires remote monitoring and communication infrastructure, which current distribution networks lack due to the high cost and complexity. In this paper, we investigate data-driven control algorithms that use historical data, advanced off-line optimization techniques, and machine learning methods, to design local controls that emulate the optimal behavior without the use of any communication. We elaborate on the suitability of various schemes based on different local features, we investigate safety challenges arising from data-driven control schemes, and we show the performance of the optimized local controls on a three-phase, unbalanced, low-voltage, distribution network.
{"title":"Data-driven Control Design Schemes in Active Distribution Grids: Capabilities and Challenges","authors":"Stavros Karagiannopoulos, Roel Dobbe, P. Aristidou, Duncan S. Callaway, G. Hug","doi":"10.1109/PTC.2019.8810586","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810586","url":null,"abstract":"Today, system operators rely on local control of distributed energy resources (DERs), such as photovoltaic units, wind turbines and batteries, to increase operational flexibility. These schemes offer a communication-free, robust, cheap, but rather sub-optimal solution and do not fully exploit the DER capabilities. The operational flexibility of active distribution networks can be greatly enhanced by the optimal control of DERs. However, it usually requires remote monitoring and communication infrastructure, which current distribution networks lack due to the high cost and complexity. In this paper, we investigate data-driven control algorithms that use historical data, advanced off-line optimization techniques, and machine learning methods, to design local controls that emulate the optimal behavior without the use of any communication. We elaborate on the suitability of various schemes based on different local features, we investigate safety challenges arising from data-driven control schemes, and we show the performance of the optimized local controls on a three-phase, unbalanced, low-voltage, distribution network.","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":"75 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":"126284006","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.2019.8810581
James Naughton, M. Cantoni, P. Mancarella
The deep penetration of distributed energy resources (DER) and renewables into electrical networks is increasing generation variability and uncertainty. One way of addressing this issue is Virtual Power Plants (VPPs), which aggregate a diverse set of DER to act in various electricity markets as a single entity. This work introduces a modelling framework which allows a VPP to operate in multiple markets, considers multiple energy vectors, and dispatches devices at 5-minute intervals, while operating within local network constraints. To ensure framework tractability, it is divided into a three-stage optimization: the high-level scheduling the devices; the mid-level dispatching them with 30-minute timesteps over a 24-hour horizon; the low-level performing the 5-minute dispatch. A real case study with electricity and hydrogen in South Australia is conducted. Results show the VPP coordinating renewable generation, dispatchable load, hydrogen storage and thermal generation to maximize earnings over multiple markets whilst adhering to local network constraints.
{"title":"A Modelling Framework for a Virtual Power Plant with Multiple Energy Vectors Providing Multiple Services","authors":"James Naughton, M. Cantoni, P. Mancarella","doi":"10.1109/PTC.2019.8810581","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810581","url":null,"abstract":"The deep penetration of distributed energy resources (DER) and renewables into electrical networks is increasing generation variability and uncertainty. One way of addressing this issue is Virtual Power Plants (VPPs), which aggregate a diverse set of DER to act in various electricity markets as a single entity. This work introduces a modelling framework which allows a VPP to operate in multiple markets, considers multiple energy vectors, and dispatches devices at 5-minute intervals, while operating within local network constraints. To ensure framework tractability, it is divided into a three-stage optimization: the high-level scheduling the devices; the mid-level dispatching them with 30-minute timesteps over a 24-hour horizon; the low-level performing the 5-minute dispatch. A real case study with electricity and hydrogen in South Australia is conducted. Results show the VPP coordinating renewable generation, dispatchable load, hydrogen storage and thermal generation to maximize earnings over multiple markets whilst adhering to local network constraints.","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":"5 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":"130158381","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.2019.8810643
A. Treml, R. Flauzino, G. C. Brito
Induction motors are very important components of electromechanical energy conversion equipment, as they are robust and reliable machines. One of the main techniques for identifying incipient faults in these rotary machines is vibration-based condition monitoring. In this paper, the analysis is focused on squirrel-cage broken bars, a typical fault in induction motors. Using an experimental test rig in which this fault may be gradually introduced in a healthy motor, the paper shows how it changes the vibration pattern. This methodology, based on motor current signature analysis, originally developed for motor current analysis, was modified and applied to the mechanical vibration signals. It has shown itself effective for detecting faults when the motor load is 37.5% higher than the nominal value. Then this methodology was combined with Empirical Mode Decomposition to filter the signal and extract the intrinsic mode functions that contain fault’s characteristic-frequency components. This methodology successfully detected faults when the motor load was at 12.5%, that is the lower load tested, and with less sampling time. Besides that, the fault’s frequencies characteristics were found and demonstrated how important is the motor operation regime.
{"title":"EMD and MCSA Improved via Hilbert Transform Analysis on Asynchronous Machines for Broken Bar Detection Using Vibration Analysis","authors":"A. Treml, R. Flauzino, G. C. Brito","doi":"10.1109/PTC.2019.8810643","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810643","url":null,"abstract":"Induction motors are very important components of electromechanical energy conversion equipment, as they are robust and reliable machines. One of the main techniques for identifying incipient faults in these rotary machines is vibration-based condition monitoring. In this paper, the analysis is focused on squirrel-cage broken bars, a typical fault in induction motors. Using an experimental test rig in which this fault may be gradually introduced in a healthy motor, the paper shows how it changes the vibration pattern. This methodology, based on motor current signature analysis, originally developed for motor current analysis, was modified and applied to the mechanical vibration signals. It has shown itself effective for detecting faults when the motor load is 37.5% higher than the nominal value. Then this methodology was combined with Empirical Mode Decomposition to filter the signal and extract the intrinsic mode functions that contain fault’s characteristic-frequency components. This methodology successfully detected faults when the motor load was at 12.5%, that is the lower load tested, and with less sampling time. Besides that, the fault’s frequencies characteristics were found and demonstrated how important is the motor operation regime.","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":"84 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":"114860937","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.2019.8810666
N. Voropai, E. Ukolova, D. Gerasimov, K. Suslov, P. Lombardi, P. Komarnicki
Integrated multi-energy systems give good possibilities to have high effectiveness of energy supply to consumers. The concept of energy hub is developed for modeling and simulation of integrated multi-carrier systems. Based on previous investigations, in this paper the authors develop the simulation model of energy hub. Basic principles of designing simulation energy hub model are discussed. Realization of simulation model using Matlab/Simulink is suggested. Simulation results for integrated electricity and heat demand systems are explained as the possibilities demonstration of simulation energy hub model.
{"title":"Simulation Approach to Integrated Energy Systems Study Based on Energy Hub Concept","authors":"N. Voropai, E. Ukolova, D. Gerasimov, K. Suslov, P. Lombardi, P. Komarnicki","doi":"10.1109/PTC.2019.8810666","DOIUrl":"https://doi.org/10.1109/PTC.2019.8810666","url":null,"abstract":"Integrated multi-energy systems give good possibilities to have high effectiveness of energy supply to consumers. The concept of energy hub is developed for modeling and simulation of integrated multi-carrier systems. Based on previous investigations, in this paper the authors develop the simulation model of energy hub. Basic principles of designing simulation energy hub model are discussed. Realization of simulation model using Matlab/Simulink is suggested. Simulation results for integrated electricity and heat demand systems are explained as the possibilities demonstration of simulation energy hub model.","PeriodicalId":187144,"journal":{"name":"2019 IEEE Milan PowerTech","volume":"588 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":"126402402","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：