Pub Date : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917790
Aristeidis Mystakidis, Evangelia Ntozi, Konstantinos D. Afentoulis, Paraskevas Koukaras, Georgios Giannopoulos, N. Bezas, P. Gkaidatzis, D. Ioannidis, Christos Tjortjis, D. Tzovaras
Emerging Energy Load Forecasting (ELF) methodologies assist Distribution System Operators (DSOs) and Aggregators. Energy imbalance among consumption and generation could also be managed with high prediction accuracy, as well as smart grid applications, like Demand Response (DR) events. This study aims to test several algorithms as a solution for ELF. The proposed methodology utilizes machine/deep learning models for time-series forecasting in the domain of energy consumption. Via result comparison it has been illustrated that Neural Networks (NNs), both artificial NNs such as Multilayer Perceptron (MLP) and Long Short-Term Memory (LSTM) recurrent NNs with Extreme Gradient Boosting (XGBoost) were the more accurate ones among other models, showcasing Mean Absolute Error (MAE), R-squared (R2), Root Mean Squared Error (RMSE) and Coefficient Variation of Root Mean Squared Error (CVRMSE) values equal to 1.281, 0.98, 2.238 and 0.147, respectively.
{"title":"One Step Ahead Energy Load Forecasting: A Multi-model approach utilizing Machine and Deep Learning","authors":"Aristeidis Mystakidis, Evangelia Ntozi, Konstantinos D. Afentoulis, Paraskevas Koukaras, Georgios Giannopoulos, N. Bezas, P. Gkaidatzis, D. Ioannidis, Christos Tjortjis, D. Tzovaras","doi":"10.1109/UPEC55022.2022.9917790","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917790","url":null,"abstract":"Emerging Energy Load Forecasting (ELF) methodologies assist Distribution System Operators (DSOs) and Aggregators. Energy imbalance among consumption and generation could also be managed with high prediction accuracy, as well as smart grid applications, like Demand Response (DR) events. This study aims to test several algorithms as a solution for ELF. The proposed methodology utilizes machine/deep learning models for time-series forecasting in the domain of energy consumption. Via result comparison it has been illustrated that Neural Networks (NNs), both artificial NNs such as Multilayer Perceptron (MLP) and Long Short-Term Memory (LSTM) recurrent NNs with Extreme Gradient Boosting (XGBoost) were the more accurate ones among other models, showcasing Mean Absolute Error (MAE), R-squared (R2), Root Mean Squared Error (RMSE) and Coefficient Variation of Root Mean Squared Error (CVRMSE) values equal to 1.281, 0.98, 2.238 and 0.147, respectively.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115298948","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917805
Nicolae Darii, R. Turri, K. Sunderland
This paper addresses the challenge of the charging control of Electric Busses (EBs) and implications on network demand. Present literature has already confirmed the possibility to do this type of service and its benefits, but the solutions proposed require a complex communication infrastructure. Moreover, the Distribution Network (DN) must be ready to an increased prevalence for reverse power flow manifest by mainstreaming of EVs. In this context, the paper proposes a transitional solution to host the EBs until the required communication infrastructure is mature enough. The Smart Charging (SC) method proposed here relies instead on the Day-Ahead Energy Market to forecast the network working conditions. The method also facilitates distributed photovoltaic (PV) production so that network demand reference is based on net demand. The algorithm focuses on load-levelling or peak-shaving as the primary objective, in the optimisation of individual charger current per vehicle and per time step to realise an overall charging strategy for the charging station. The strategy seeks to control fleet charging by managing how individual vehicle charging is interchangeable based on an 80% vehicle state-of-charge objective. The algorithm achieves a scheduling capability for the EBs that transit through the Charging Station (CS) through optimum load-levelling/peak-shaving based on the size of the fleet.
{"title":"Electric Bus Demand Management through Unidirectional Smart Charging","authors":"Nicolae Darii, R. Turri, K. Sunderland","doi":"10.1109/UPEC55022.2022.9917805","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917805","url":null,"abstract":"This paper addresses the challenge of the charging control of Electric Busses (EBs) and implications on network demand. Present literature has already confirmed the possibility to do this type of service and its benefits, but the solutions proposed require a complex communication infrastructure. Moreover, the Distribution Network (DN) must be ready to an increased prevalence for reverse power flow manifest by mainstreaming of EVs. In this context, the paper proposes a transitional solution to host the EBs until the required communication infrastructure is mature enough. The Smart Charging (SC) method proposed here relies instead on the Day-Ahead Energy Market to forecast the network working conditions. The method also facilitates distributed photovoltaic (PV) production so that network demand reference is based on net demand. The algorithm focuses on load-levelling or peak-shaving as the primary objective, in the optimisation of individual charger current per vehicle and per time step to realise an overall charging strategy for the charging station. The strategy seeks to control fleet charging by managing how individual vehicle charging is interchangeable based on an 80% vehicle state-of-charge objective. The algorithm achieves a scheduling capability for the EBs that transit through the Charging Station (CS) through optimum load-levelling/peak-shaving based on the size of the fleet.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126620865","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917944
A. Pfendler, M. Coumont, J. Hanson
The use of a phase-locked loop in grid-forming converter control is controversially discussed, as it implies a time delay to the converter’s response to grid disturbances. In literature, slowing down the PLL dynamics to create a retarded measured voltage and current phasor is discussed to virtually resemble synchronous generators’ inherent inertia. In this case study, the influence of the PLL time constant is investigated in a simple medium-voltage testbench with the standard cascaded control and the direct voltage control concept. The frequency, active power, direct and quadrature current of the converter-based generator are evaluated for different PLL time constants following an active power mismatch. The results show that slowing down the PLL has a small impact on the current and power infeed of both control concepts. However, results of the standard cascaded and the direct voltage control are similar and a general advantage of the slower PLL cannot be concluded in this case study.
{"title":"Impact of the PLL Time Constant in Converter Control on the Dynamic Frequency Support","authors":"A. Pfendler, M. Coumont, J. Hanson","doi":"10.1109/UPEC55022.2022.9917944","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917944","url":null,"abstract":"The use of a phase-locked loop in grid-forming converter control is controversially discussed, as it implies a time delay to the converter’s response to grid disturbances. In literature, slowing down the PLL dynamics to create a retarded measured voltage and current phasor is discussed to virtually resemble synchronous generators’ inherent inertia. In this case study, the influence of the PLL time constant is investigated in a simple medium-voltage testbench with the standard cascaded control and the direct voltage control concept. The frequency, active power, direct and quadrature current of the converter-based generator are evaluated for different PLL time constants following an active power mismatch. The results show that slowing down the PLL has a small impact on the current and power infeed of both control concepts. However, results of the standard cascaded and the direct voltage control are similar and a general advantage of the slower PLL cannot be concluded in this case study.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127585911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917770
Goekhan Demirel, S. D. Jongh, F. Mueller, T. Leibfried
This paper proposes a solution to the state estimation problem in gas networks using the distributed belief propagation (BP) algorithm. Power system identification applications require precise and robust state estimatiors as well as various sensor information. Compared to augmenting the power system with a very large number of sensors, a limited number of sensors and probabilistic graphical models can be used to infer the system state and reduce hardware investments. A novel BP algorithm propagates the pressure quantities at nodes in the gas network based on pressure manometer signals and applies a correction based on the information of neighboring nodes in the fusion step by using additional supporting sensors. Finally, the data fusion algorithm is demonstrated for a 14-node gas distribution network based on real data. This paper presents a novel algorithm aimed at tackling the traditional weighted least squares method to validate the developed novel approach in order to highlight the advantage of the distributed inference algorithm over traditional methods.
{"title":"Data Fusion and State Estimation Using Belief Propagation in Gas Distribution Networks","authors":"Goekhan Demirel, S. D. Jongh, F. Mueller, T. Leibfried","doi":"10.1109/UPEC55022.2022.9917770","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917770","url":null,"abstract":"This paper proposes a solution to the state estimation problem in gas networks using the distributed belief propagation (BP) algorithm. Power system identification applications require precise and robust state estimatiors as well as various sensor information. Compared to augmenting the power system with a very large number of sensors, a limited number of sensors and probabilistic graphical models can be used to infer the system state and reduce hardware investments. A novel BP algorithm propagates the pressure quantities at nodes in the gas network based on pressure manometer signals and applies a correction based on the information of neighboring nodes in the fusion step by using additional supporting sensors. Finally, the data fusion algorithm is demonstrated for a 14-node gas distribution network based on real data. This paper presents a novel algorithm aimed at tackling the traditional weighted least squares method to validate the developed novel approach in order to highlight the advantage of the distributed inference algorithm over traditional methods.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127369239","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917631
Michael O Donovan, Aidan Heffernan, Seamus Keena, N. Barry
Substation Automation Systems are commonly used to control, protect and monitor substations in a power system. Many existing substation automation systems use proprietary protocols, which are no longer supported. Therefore, expensive and complex solutions are often required when automation equipment fails or reaches the end of life (15/20 years), or a substation extension is required. Older proprietary-based protocols in substation automation systems are being updated and replaced by introducing the IEC 61850 standard series.IEC 61850 brings significant changes to how Intelligent Electronic Devices used for protection are to be tested. The introduction of non-traditional relay signals resulted in the need for new tools and processes regarding commissioning, testing and maintenance.This paper provides an overview of existing proprietary protocols and outlines the IEC 61850 standard. The challenges in testing IEC 61850 protection equipment are investigated. Finally, a power utility approach for extending existing legacy substation automation systems is demonstrated in a lab-based trial. The comparison illustrated the many benefits of installing and extending substations using IEC 61850 rather than reengineering the proprietary systems.
{"title":"An Evaluation of Extending an Existing Substation Automation System using IEC 61850","authors":"Michael O Donovan, Aidan Heffernan, Seamus Keena, N. Barry","doi":"10.1109/UPEC55022.2022.9917631","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917631","url":null,"abstract":"Substation Automation Systems are commonly used to control, protect and monitor substations in a power system. Many existing substation automation systems use proprietary protocols, which are no longer supported. Therefore, expensive and complex solutions are often required when automation equipment fails or reaches the end of life (15/20 years), or a substation extension is required. Older proprietary-based protocols in substation automation systems are being updated and replaced by introducing the IEC 61850 standard series.IEC 61850 brings significant changes to how Intelligent Electronic Devices used for protection are to be tested. The introduction of non-traditional relay signals resulted in the need for new tools and processes regarding commissioning, testing and maintenance.This paper provides an overview of existing proprietary protocols and outlines the IEC 61850 standard. The challenges in testing IEC 61850 protection equipment are investigated. Finally, a power utility approach for extending existing legacy substation automation systems is demonstrated in a lab-based trial. The comparison illustrated the many benefits of installing and extending substations using IEC 61850 rather than reengineering the proprietary systems.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":" 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114051503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917741
Cristian Monsalve, Tilo Hirsch, S. Nicolai, P. Bretschneider
This paper presents several key aspects and results as part of the research project “Evaluation of novel Business Models (BMs) in the electrical supply” financed by the German Ministry of Economy and Energy (BMWi). This paper focuses on presenting some of the results from the technical and economical evaluation of the German electrical infrastructure when multiple BMs are implemented by multiple actors of the whole energy system. The motivation of this paper is to demonstrate the contribution of implementing some BMs to the sustainability and controllability of the energy distribution system by assessing some technical indicators such as changes in peak load and availability of load shifting potential in Germany and determining the effects of these BMs.
{"title":"Benefits and Threat of Business Models in the German Electrical Systems","authors":"Cristian Monsalve, Tilo Hirsch, S. Nicolai, P. Bretschneider","doi":"10.1109/UPEC55022.2022.9917741","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917741","url":null,"abstract":"This paper presents several key aspects and results as part of the research project “Evaluation of novel Business Models (BMs) in the electrical supply” financed by the German Ministry of Economy and Energy (BMWi). This paper focuses on presenting some of the results from the technical and economical evaluation of the German electrical infrastructure when multiple BMs are implemented by multiple actors of the whole energy system. The motivation of this paper is to demonstrate the contribution of implementing some BMs to the sustainability and controllability of the energy distribution system by assessing some technical indicators such as changes in peak load and availability of load shifting potential in Germany and determining the effects of these BMs.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131154260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917881
N. Rugthaicharoencheep, Papon Ngamprasert, Natchapol Ruangsap, Nawin Rodrueang
This paper presents minimize the customer outage for improved reliability in distribution system with photovoltaic distributed generation. The objective functions to be minimize the customer outage cost. The problem is to reliability improvement of distribution system with distributed generations. The technique employed to solve the outage cost by Tabu search algorithm. An application of the Tabu search algorithm to test system for the case study is a radial distribution system with Roy Billinton Test System (RBTS) bus 2. Numerical results from the tests demonstrate that the optimal placement of distributed generators can be used to promote the reliability of the distribution system.
{"title":"Minimize the Customer Outage for Improved Reliability in Distribution System with Photovoltaic Distributed Generation","authors":"N. Rugthaicharoencheep, Papon Ngamprasert, Natchapol Ruangsap, Nawin Rodrueang","doi":"10.1109/UPEC55022.2022.9917881","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917881","url":null,"abstract":"This paper presents minimize the customer outage for improved reliability in distribution system with photovoltaic distributed generation. The objective functions to be minimize the customer outage cost. The problem is to reliability improvement of distribution system with distributed generations. The technique employed to solve the outage cost by Tabu search algorithm. An application of the Tabu search algorithm to test system for the case study is a radial distribution system with Roy Billinton Test System (RBTS) bus 2. Numerical results from the tests demonstrate that the optimal placement of distributed generators can be used to promote the reliability of the distribution system.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128389562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917592
Lewis Osikibo Tamuno-Ibuomi, R. Ramirez-Iniguez, A. S. Holmes-Smith, G. Bevan
Building Integrated Concentrating Photovoltaic systems have the potential of helping to reduce greenhouse gas emissions and global warming as they can be designed not only to generate electricity but also to improve energy efficiency in buildings. These systems can incorporate static low concentration optics and PV cells within double glazed windows, skylights, and double skin facades. This paper addresses the issue of low packing density of solar concentrators used in low concentrating photovoltaic systems and proposes a novel 3-D hexagonal concentrator which offers 89.4% theoretical packing efficiency, which is 16.2% and 21.8% higher than the theoretical packing efficiencies of the circular and elliptical concentrators respectfully, the alternative 3-D concentrators discussed in this study.
{"title":"Improving the Packing Efficiency of Building Integrated Concentrating Photovoltaic Systems through a Novel Hexagonal Concentrator","authors":"Lewis Osikibo Tamuno-Ibuomi, R. Ramirez-Iniguez, A. S. Holmes-Smith, G. Bevan","doi":"10.1109/UPEC55022.2022.9917592","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917592","url":null,"abstract":"Building Integrated Concentrating Photovoltaic systems have the potential of helping to reduce greenhouse gas emissions and global warming as they can be designed not only to generate electricity but also to improve energy efficiency in buildings. These systems can incorporate static low concentration optics and PV cells within double glazed windows, skylights, and double skin facades. This paper addresses the issue of low packing density of solar concentrators used in low concentrating photovoltaic systems and proposes a novel 3-D hexagonal concentrator which offers 89.4% theoretical packing efficiency, which is 16.2% and 21.8% higher than the theoretical packing efficiencies of the circular and elliptical concentrators respectfully, the alternative 3-D concentrators discussed in this study.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128847782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917594
Mohamed Darwish, M. Rady, M. Abbod, Eydhah Almatrafi, Chun Sing Lai
This paper covers how a successful model of electric vehicles (EV) forecourts in the UK can be implemented into Kingdom of Saudi Arabia (KSA) for supporting research, knowledge, and innovation in emerging EV technologies. The paper also addresses the challenges of implementation of EV technologies via research, training and curriculum development.
{"title":"Forecourt Electric Vehicles Charging Hubs – UK and Saudi Research and Education Collaboration","authors":"Mohamed Darwish, M. Rady, M. Abbod, Eydhah Almatrafi, Chun Sing Lai","doi":"10.1109/UPEC55022.2022.9917594","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917594","url":null,"abstract":"This paper covers how a successful model of electric vehicles (EV) forecourts in the UK can be implemented into Kingdom of Saudi Arabia (KSA) for supporting research, knowledge, and innovation in emerging EV technologies. The paper also addresses the challenges of implementation of EV technologies via research, training and curriculum development.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128282647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-08-30DOI: 10.1109/UPEC55022.2022.9917866
M. Böhringer, Manuel Schwenke, J. Hanson
In this paper, an optimal power flow model for electricity and heat distribution in district networks is demonstrated. The algorithm is based on the AC power-flow equations and solves problems with a time horizon of up to an entire year with the intention to size and operate generation and storage equipment. The interior-point solver PIPS, that allows to include non-linear and linear constraints and variable bounds is used to solve the problem. To decrease computational effort, an algorithm for time series aggregation is introduced, that allows to maintain the seasonal, as well as the hourly characteristics of the time series while significantly reducing the computation time. Besides the electrical network, a district heating network is modelled. This allows various couplings through generation or storage equipment to be integrated into the model. It could be shown, that, with a joint consideration of electricity and heat in the model, a high self-sufficiency of a district energy system can be achieved while at the same time the costs can be lowered. As a side effect, other operating parameters, such as voltage stability, are significantly improved.
{"title":"Modelling Electricity and Heat Supply with Renewable Infeed and Seasonal Storages on a Local Level using Multi-Period Optimal Power Flow","authors":"M. Böhringer, Manuel Schwenke, J. Hanson","doi":"10.1109/UPEC55022.2022.9917866","DOIUrl":"https://doi.org/10.1109/UPEC55022.2022.9917866","url":null,"abstract":"In this paper, an optimal power flow model for electricity and heat distribution in district networks is demonstrated. The algorithm is based on the AC power-flow equations and solves problems with a time horizon of up to an entire year with the intention to size and operate generation and storage equipment. The interior-point solver PIPS, that allows to include non-linear and linear constraints and variable bounds is used to solve the problem. To decrease computational effort, an algorithm for time series aggregation is introduced, that allows to maintain the seasonal, as well as the hourly characteristics of the time series while significantly reducing the computation time. Besides the electrical network, a district heating network is modelled. This allows various couplings through generation or storage equipment to be integrated into the model. It could be shown, that, with a joint consideration of electricity and heat in the model, a high self-sufficiency of a district energy system can be achieved while at the same time the costs can be lowered. As a side effect, other operating parameters, such as voltage stability, are significantly improved.","PeriodicalId":371561,"journal":{"name":"2022 57th International Universities Power Engineering Conference (UPEC)","volume":"290 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134150103","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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