Pub Date : 2020-01-01DOI: 10.1049/OAP-CIRED.2021.0030
C. Pinto, L. Ferreira, Telmo Santiago, António Fernando Ribeiro, Nuno Cativo
The Berlenga Island is an environmentally protected area for its biodiversity and is currently supplied by diesel generators for most of the year. This kind of conventional generation abides for obvious environmental and safety risks regarding maritime transportation, storage and transfer of diesel fuel. Furthermore, there are several costs incurred by this type of generation during a year of energy supply. The Berlenga Project aims for a more sustainable solution for the energy supply of the island while guaranteeing a cost-effective solution and compliance with all its environmental protection measures, as well as adapting the regulatory framework, which was defined before European unbundling directives, forbidding the DSO of having generation activities. Though various solutions and mixed renewables systems were considered, the supply system chosen for the island was a solar + storage + backup diesel off-grid solution, which best responded to the major concerns regarding environmental issues and presenting itself as the most cost-effective solution when in comparison with a submarine cable (both in investment and maintenance).
{"title":"Off-grid hybrid system for the Berlenga Island","authors":"C. Pinto, L. Ferreira, Telmo Santiago, António Fernando Ribeiro, Nuno Cativo","doi":"10.1049/OAP-CIRED.2021.0030","DOIUrl":"https://doi.org/10.1049/OAP-CIRED.2021.0030","url":null,"abstract":"The Berlenga Island is an environmentally protected area for its biodiversity and is currently supplied by diesel generators for most of the year. This kind of conventional generation abides for obvious environmental and safety risks regarding maritime transportation, storage and transfer of diesel fuel. Furthermore, there are several costs incurred by this type of generation during a year of energy supply. The Berlenga Project aims for a more sustainable solution for the energy supply of the island while guaranteeing a cost-effective solution and compliance with all its environmental protection measures, as well as adapting the regulatory framework, which was defined before European unbundling directives, forbidding the DSO of having generation activities. Though various solutions and mixed renewables systems were considered, the supply system chosen for the island was a solar + storage + backup diesel off-grid solution, which best responded to the major concerns regarding environmental issues and presenting itself as the most cost-effective solution when in comparison with a submarine cable (both in investment and maintenance).","PeriodicalId":405107,"journal":{"name":"CIRED - Open Access Proceedings Journal","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124597234","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 : 2020-01-01DOI: 10.1049/OAP-CIRED.2021.0225
B. Bremdal, Hossein Fahramand, P. Lloret-Gallego, S. Ø. Ottesen, S. Puranik, B. Pellerin, Dagfinn Waage
The H2020 project INVADE has addressed optimal activation of the different flexibility services using the cloud-based solution in the electricity domain. The results have been tested full-scale at different sites around Europe. Both business aspects and technical issues have been addressed. To provide effective instruments for practice sharing, collaboration and communication, sound reference architectures should be established. This study deliberates on the findings from H2020 INVADE and proposes a way to expand existing frameworks for Smart Grids.
{"title":"Towards a reference architecture for cloud-based flexibility services in the electricity domain","authors":"B. Bremdal, Hossein Fahramand, P. Lloret-Gallego, S. Ø. Ottesen, S. Puranik, B. Pellerin, Dagfinn Waage","doi":"10.1049/OAP-CIRED.2021.0225","DOIUrl":"https://doi.org/10.1049/OAP-CIRED.2021.0225","url":null,"abstract":"The H2020 project INVADE has addressed optimal activation of the different flexibility services using the cloud-based solution in the electricity domain. The results have been tested full-scale at different sites around Europe. Both business aspects and technical issues have been addressed. To provide effective instruments for practice sharing, collaboration and communication, sound reference architectures should be established. This study deliberates on the findings from H2020 INVADE and proposes a way to expand existing frameworks for Smart Grids.","PeriodicalId":405107,"journal":{"name":"CIRED - Open Access Proceedings Journal","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121176021","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 : 2020-01-01DOI: 10.1049/oap-cired.2021.0189
Yao Xiao, Z. Bie, Haoyuan Wang, Yuming Peng, Shiyu Liu, Gengfeng Li
{"title":"Market mechanism for DSO-based distribution system considering uncertainties by scenario tree","authors":"Yao Xiao, Z. Bie, Haoyuan Wang, Yuming Peng, Shiyu Liu, Gengfeng Li","doi":"10.1049/oap-cired.2021.0189","DOIUrl":"https://doi.org/10.1049/oap-cired.2021.0189","url":null,"abstract":"","PeriodicalId":405107,"journal":{"name":"CIRED - Open Access Proceedings Journal","volume":"138 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121418534","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 : 2020-01-01DOI: 10.1049/OAP-CIRED.2021.0004
S. Henselmeyer, S. Weber, Jan Saussenthaler
The study presents the application of Siemens distribution network algorithms in look-ahead mode to a real-world network that frequently experiences violations mainly caused by renewable generation. The goal of the approach is to detect the future problems several hours ahead and to calculate the amount of flexibility to be provided by the regional market for the problem resolution. The work has been conducted within the German research project enera in cooperation with several partners.
{"title":"Siemens active network management in the look-ahead mode for the enera region","authors":"S. Henselmeyer, S. Weber, Jan Saussenthaler","doi":"10.1049/OAP-CIRED.2021.0004","DOIUrl":"https://doi.org/10.1049/OAP-CIRED.2021.0004","url":null,"abstract":"The study presents the application of Siemens distribution network algorithms in look-ahead mode to a real-world network that frequently experiences violations mainly caused by renewable generation. The goal of the approach is to detect the future problems several hours ahead and to calculate the amount of flexibility to be provided by the regional market for the problem resolution. The work has been conducted within the German research project enera in cooperation with several partners.","PeriodicalId":405107,"journal":{"name":"CIRED - Open Access Proceedings Journal","volume":"18 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125766104","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 : 2020-01-01DOI: 10.1049/OAP-CIRED.2021.0034
Yang Yi, Weisi Dong, Anchao Li, Junpin Sun, Xu Lian
This document introduces the research and practice of the power distribution area automation system based on the edge computing framework. First, it discusses the challenges in the operation and management of power distribution areas. Then, it explains the overall framework, that is, the cloud-edge-device architecture based on the edge computing framework. It also elaborates key technologies involved in the system, such as cloud master station, edge computing node, end node, and cloud-edge synergy protocol stack and model. Finally, the document unveils the engineering practice result and technical development direction of the power distribution area automation system.
{"title":"Autonomous operation of power distribution area based on edge computing framework","authors":"Yang Yi, Weisi Dong, Anchao Li, Junpin Sun, Xu Lian","doi":"10.1049/OAP-CIRED.2021.0034","DOIUrl":"https://doi.org/10.1049/OAP-CIRED.2021.0034","url":null,"abstract":"This document introduces the research and practice of the power distribution area automation system based on the edge computing framework. First, it discusses the challenges in the operation and management of power distribution areas. Then, it explains the overall framework, that is, the cloud-edge-device architecture based on the edge computing framework. It also elaborates key technologies involved in the system, such as cloud master station, edge computing node, end node, and cloud-edge synergy protocol stack and model. Finally, the document unveils the engineering practice result and technical development direction of the power distribution area automation system.","PeriodicalId":405107,"journal":{"name":"CIRED - Open Access Proceedings Journal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130113451","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 : 2020-01-01DOI: 10.1049/OAP-CIRED.2021.0026
F. Schäfer, J. Menke, M. Braun
Time-series-based analysis of power systems requires long simulation times if the annual simulation of N–1 cases are to be analysed. Artificial neural networks can be trained to predict bus voltage magnitudes and line loadings to shorten these simulation times. In this study, the authors show how to reduce prediction errors by applying different data pre-processing methods including sampling methods, feature selection strategies, and scaling techniques. Results are shown for four realistic benchmark grids. The authors show that the maximum prediction error can be reduced by >30% when using pre-processing methods.
{"title":"Prediction of power flow results in time-series-based planning with artificial neural networks and data pre-processing","authors":"F. Schäfer, J. Menke, M. Braun","doi":"10.1049/OAP-CIRED.2021.0026","DOIUrl":"https://doi.org/10.1049/OAP-CIRED.2021.0026","url":null,"abstract":"Time-series-based analysis of power systems requires long simulation times if the annual simulation of N–1 cases are to be analysed. Artificial neural networks can be trained to predict bus voltage magnitudes and line loadings to shorten these simulation times. In this study, the authors show how to reduce prediction errors by applying different data pre-processing methods including sampling methods, feature selection strategies, and scaling techniques. Results are shown for four realistic benchmark grids. The authors show that the maximum prediction error can be reduced by >30% when using pre-processing methods.","PeriodicalId":405107,"journal":{"name":"CIRED - Open Access Proceedings Journal","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133307356","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 : 2020-01-01DOI: 10.1049/oap-cired.2021.0014
J. Monscheidt, B. Gemsjäger, A. Slupinski, Xuqian Yan, S. Ali, P. Wintzek, M. Zdrallek
{"title":"Energy demand model for electric load forecast in urban distribution networks","authors":"J. Monscheidt, B. Gemsjäger, A. Slupinski, Xuqian Yan, S. Ali, P. Wintzek, M. Zdrallek","doi":"10.1049/oap-cired.2021.0014","DOIUrl":"https://doi.org/10.1049/oap-cired.2021.0014","url":null,"abstract":"","PeriodicalId":405107,"journal":{"name":"CIRED - Open Access Proceedings Journal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132257002","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}
Microgrids are primarily small electrical grids designed to provide reliable electricity to few customers. Microgrids aggregate multiple production facilities, consumer installations, storage facilities as well as supervision and control tools. They can operate either in grid-connected mode or in an island mode. In the last few years, this concept has been expanding to heat and gas networks and begins to be thought of in a multifluid way. The authors consider the Sustainable Powering of Off-grid REgions (SPORE) microgrid which encompasses Singapore's largest wind turbine, photovoltaic panels, batteries and a power-to-power hydrogen system for powering fuel cell electric vehicles. To achieve a higher efficiency of the energy system and increase the interaction between different energy carriers, ENGIE Lab Crigen has developed an optimisation model for multifluid microgrids operating in island mode. Operational objectives are to minimise the net operating cost of the microgrid while satisfying the demand in electricity and hydrogen and enhancing the flexibility in terms of power supply. Nonlinear dispatch models are linearised to fit the mixed-integer linear programming framework used for higher computational efficiency. To assess the validity of the multifluid optimisation and show efficient interactions between electricity, hydrogen and transportation, standard operating scenarios have been simulated, allowing a day-ahead energy planning.
{"title":"Optimal management for multifluid island microgrids","authors":"Slawomir Pietrasz, Lilia Bouchendouka, Alexi Liedes","doi":"10.1049/OAP-CIRED.2021.0296","DOIUrl":"https://doi.org/10.1049/OAP-CIRED.2021.0296","url":null,"abstract":"Microgrids are primarily small electrical grids designed to provide reliable electricity to few customers. Microgrids aggregate multiple production facilities, consumer installations, storage facilities as well as supervision and control tools. They can operate either in grid-connected mode or in an island mode. In the last few years, this concept has been expanding to heat and gas networks and begins to be thought of in a multifluid way. The authors consider the Sustainable Powering of Off-grid REgions (SPORE) microgrid which encompasses Singapore's largest wind turbine, photovoltaic panels, batteries and a power-to-power hydrogen system for powering fuel cell electric vehicles. To achieve a higher efficiency of the energy system and increase the interaction between different energy carriers, ENGIE Lab Crigen has developed an optimisation model for multifluid microgrids operating in island mode. Operational objectives are to minimise the net operating cost of the microgrid while satisfying the demand in electricity and hydrogen and enhancing the flexibility in terms of power supply. Nonlinear dispatch models are linearised to fit the mixed-integer linear programming framework used for higher computational efficiency. To assess the validity of the multifluid optimisation and show efficient interactions between electricity, hydrogen and transportation, standard operating scenarios have been simulated, allowing a day-ahead energy planning.","PeriodicalId":405107,"journal":{"name":"CIRED - Open Access Proceedings Journal","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132769179","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 : 2020-01-01DOI: 10.1049/OAP-CIRED.2021.0040
Yi Guo, T. Görlich, W. Gawlik
Islanded microgrids have low inertia due to their small size as well as integration of inverter-based renewable energy resources. Hence frequency stability is one main concern regarding their operation. Load step pre-announcement and a bang–bang controller were proposed and applied in a test islanded microgrid, consisting of a conventional generator, a photovoltaic (PV) generator and a lumped load, to improve the frequency response. In this study, a possible control architecture for the proposed method is illustrated. A sensitivity analysis is conducted to determine the influence of two parameters, preset and total time, on the performance of the proposed control method. Furthermore, the effectiveness of the implementation of load step pre-announcement and bang–bang controller in the test microgrid with different shares of PV is evaluated through simulation results.
{"title":"Robust control method to improve microgrid frequency stability in islanded operation","authors":"Yi Guo, T. Görlich, W. Gawlik","doi":"10.1049/OAP-CIRED.2021.0040","DOIUrl":"https://doi.org/10.1049/OAP-CIRED.2021.0040","url":null,"abstract":"Islanded microgrids have low inertia due to their small size as well as integration of inverter-based renewable energy resources. Hence frequency stability is one main concern regarding their operation. Load step pre-announcement and a bang–bang controller were proposed and applied in a test islanded microgrid, consisting of a conventional generator, a photovoltaic (PV) generator and a lumped load, to improve the frequency response. In this study, a possible control architecture for the proposed method is illustrated. A sensitivity analysis is conducted to determine the influence of two parameters, preset and total time, on the performance of the proposed control method. Furthermore, the effectiveness of the implementation of load step pre-announcement and bang–bang controller in the test microgrid with different shares of PV is evaluated through simulation results.","PeriodicalId":405107,"journal":{"name":"CIRED - Open Access Proceedings Journal","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127896403","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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