{"title":"Enhancement of the Resilience Through Microgrids Formation and DG Allocation with Master-Slave DG Operation","authors":"J. M. Home-Ortiz, J. Mantovani","doi":"10.1109/SEST48500.2020.9203434","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203434","url":null,"abstract":"The microgrids (MGs) formation is an effective alternative to provide a resilient network, however, in some cases it is not enough to recover an acceptable operational state after major faults scenarios, therefore investment actions are required. This paper presents a mixed-integer linear-programming (MILP) model for the enhancement of the resilience of distribution systems (DSs) through the optimal MGs formation with simultaneous allocation of dispatchable DG. The radial MGs are formed via reconfiguration, for this purpose, a new radiality set of constraints is proposed. On the other hand, modern DSs incorporate several DG technologies, thus, a master-slave DG operation is considered where the large existent dispatchable DGs are master units with voltage control while photovoltaic, batteries, and new allocated dispatchable DGs are slave units. Uncertainties in photovoltaic and load behavior are considered via stochastic scenario-based approach. Numerical results based on a real 135-node DS validate the effectiveness of the proposed model.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129558928","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}
{"title":"Stability Implications for the Design Process of an Industrial DC Microgrid","authors":"D. Schaab, A. Sauer","doi":"10.1109/SEST48500.2020.9203022","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203022","url":null,"abstract":"The future electric grid faces challenges by a rising share of renewable generation. This development increases the number of smaller decentralized power plants and therefore the volatility of energy generation. A technical approach to overcome these challenges is to cluster distributed energy generation and local power demand in microgrids. These can be used to balance power generation and demand locally and in short time frames. The industry relies on an high quality and reliable power supply, which can be ensured in a microgrid architecture, even if the main AC power grid does not meet the requirements. In specific industrial applications prototypes of direct current (DC) microgrids are built. Such a multi terminal architecture is in need for a grid control that adjusts the respective power flow of each device. This study aims on determining the implications for the DC microgrid design process with respect to stability of the control system.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115343979","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}
L. A. Camargo, L. D. Leonel, D. Ramos, Alessandra Stucchi
{"title":"A Risk Averse Stochastic Optimization Model for Wind Power Plants Portfolio Selection","authors":"L. A. Camargo, L. D. Leonel, D. Ramos, Alessandra Stucchi","doi":"10.1109/SEST48500.2020.9203149","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203149","url":null,"abstract":"This work focuses on the wind power plants portfolio selection. We developed a stochastic optimization model whose objective function considers the financial risk and return, weighted by the risk aversion profile of the decision-maker. The financial risk is measured by the Conditional Value-at-Risk metric. The agent risk aversion profile brings important implications for resource allocation strategy definition. We apply the model in a case study considering sixteen locations in Brazil, where optimal portfolios compositions are analyzed under risk aversion levels, from the perspective of a risk-neutral agent (decision based only on the Expected Revenue) up to risk-averse (decision based only on CVaR), considering intermediate levels of these extremes. The results showed relevant changes in the portfolio allocation under different risk aversion levels. The model application contributes to discussions on this relevant subject and for mapping potential strategic association between wind power plants in Brazil. The model can be effortlessly adapted for applications in any location worldwide.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"75 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116289038","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}
J. Helguero, Santiago Galeano, A. Rosin, H. Biechl
{"title":"Provision of Reactive Power by Nanogrids as part of a Topological Power Plant in a Low Voltage Network","authors":"J. Helguero, Santiago Galeano, A. Rosin, H. Biechl","doi":"10.1109/SEST48500.2020.9203456","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203456","url":null,"abstract":"This research work presents an operation mechanism for supplying a scheduled value of reactive power at the medium voltage (MV) side of the distribution transformer by a group of interlinked nanogrids in the low voltage level (LV), which are part of a topological power plant (TPP). The operation mechanism takes into account the self-consumption of the nanogrid and network constraints, such as the permissible voltage band for each node and the loading of the transformer as well as cables. Furthermore, the minimization of active power losses within the TPP is taken into consideration while the scheduled reactive power at the MV side should be accomplished.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128382417","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}
{"title":"Stochastic Load Modeling of High-Power Electric Vehicle Charging - A Norwegian Case Study","authors":"Eirik Ivarsøy, B. N. Torsæter, M. Korpås","doi":"10.1109/SEST48500.2020.9203102","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203102","url":null,"abstract":"In recent years, the number of electric vehicles (EVs) has increased rapidly. Due to technological advancement, government policies and the focus on reducing greenhouse gas emission, the growth can be expected to continue. Home charging of EVs will often be sufficient for short-distance travel and daily routines. However, EVs still have a limited range. Thus, for long-distance travel, a network of fast charging stations (FCS) is needed. The stochastic nature, high power demand and short duration of EV fast charging, make it in many cases a grid capacity issue rather than an energy issue. Therefore, knowledge about the load profile of FCSs is important. In this paper, a model is developed for the simulation of the aggregated load profile of an FCS. The FCS load model includes a mobility model based on actual traffic flow, EV charging curves and temperature-dependent EV efficiency. Simulations are performed using the Monte Carlo simulation technique, to get a daily load profile for the FCS. Real-world data for the studied FCS in Norway is compared with the results from the simulation to analyze the performance of the FCS load model. The developed load profile for the FCS has a high peak-to-average power ratio, which indicates that the socioeconomic profitability of fast charging stations still is low.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125309687","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}
Morteza Vahid-Ghavidel, Mohammad Sadegh Javadi, S. Santos, M. Gough, M. Shafie‐khah, J. Catalão
{"title":"Demand Response based Trading Framework in the Presence of Fuel Cells Using Information-Gap Decision Theory","authors":"Morteza Vahid-Ghavidel, Mohammad Sadegh Javadi, S. Santos, M. Gough, M. Shafie‐khah, J. Catalão","doi":"10.1109/SEST48500.2020.9203313","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203313","url":null,"abstract":"Nowadays demand response (DR) is known as one of the main parts of the power system especially in the smart grid infrastructure. Furthermore, to enhance the participation of the consumers in the DR programs, the Independent System Operators (ISOs) have introduced a new entity, i.e. Demand Response Aggregator (DRA). The main contribution of this paper is to investigate a novel framework to increase the profits of the DRA participating in the day-ahead electricity market, i.e. employment of an axillary generation system in the DRA entity. It is supposed that the DRA in this paper has an axillary generation system and it would lead to an increase in the profit of the DRA through avoiding the economic loss in the process of trading DR obtained by the active participation of prosumers in the electricity market. The fuel cell is introduced as the axillary generation unit to the DRA unit. In the framework proposed in this paper, the DR is acquired from end-users during peak periods and will be offered to the day-ahead electricity market. The power flow during the off-peak hours is in another direction, i.e. from the grid to the consumers. In this model, the information-gap decision theory (IGDT) is chosen as the risk measure. The uncertain parameter is the day-ahead electricity market price. The optimization problem’s objective is to maximize the profit of the DRA. The behavior of the risk-seeker decision-maker is analyzed and investigated. The feasibility of the program is demonstrated by applying it to realistic data.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122718495","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}
{"title":"Establishment of a Coordinated TSO-DSO Reactive Power Management for INTERPLAN Tool","authors":"David Sebastian Stock, S. Talari, M. Braun","doi":"10.1109/SEST48500.2020.9203129","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203129","url":null,"abstract":"With presence of large number of distributed generation in the grid, the system is imposed higher power fluctuations. Therefore, innovative control schemes should be provided in the future power systems to maintain the voltage in an acceptable level. Moreover, the reactive power supply is planned to be shifted from large controlled bulk power plants to other reactive power sources. To this end, a use case is developed under the framework of INTERPLAN project – Integrated operation planning tool towards the Pan-European network. The use case aims to present suitable control functions in order to improve coordination among transmission system operator (TSO) and distribution system operator (DSO) in a way that voltage can be kept in relevant bandwidth. This use case has three main steps including reactive power flexibility assessment, TSO optimal power flow and DSO optimal power flow. This procedure aims to find the optimum reactive power set points for renewable energy resources while the reactive power capability from DSO is communicated to TSO. According to the results the information exchange among DSO and TSO are minimized by trying to set the reactive power set points of connection points constant while meeting an acceptable voltage range.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126539682","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}
Mariem Khemir, Mauricio Rojas, Raisa Popova, T. Feizi, H. Q. Nguyen, Jan F. Heinekamp, K. Strunz
{"title":"Real-world application of sustainable mobility in urban micro smart grids","authors":"Mariem Khemir, Mauricio Rojas, Raisa Popova, T. Feizi, H. Q. Nguyen, Jan F. Heinekamp, K. Strunz","doi":"10.1109/SEST48500.2020.9203296","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203296","url":null,"abstract":"The development of micro grids is attracting increased research interest as they could assure high energy reliability, control loads in future electric power distribution systems, and foster the integration of renewable and decentralized energy resources. The impact of micro grid concepts is expanding through the increase of renewable generation systems market share and the growing limitations of the power system by higher adoption of electric vehicles. A significant challenge with regards to micro grids is the development and implementation of control algorithms to ensure efficient and reliable operation. This paper presents and investigates operational strategies, namely electric vehicle load management and self-consumption, of micro grids for real-world site applications on the European Energy Forum (EUREF) Campus in Berlin, Germany. These strategies meet requirements for economical and research operation, based on the current legal conditions for renewable energy resources in Germany. A rule-based control algorithm for self-consumption of local charging stations for electric vehicles is developed and implemented in a supervisory control and data acquisition (SCADA) environment. Measurements are performed with high resolution and analyzes carried out for the collected data sets of the years 2017-2019. A discussion shows the potential of the proposed control algorithm with regards to self-consumption. The influence of operating characteristics and restrictions in real-world applications are investigated and compared to ideal operating conditions.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"199 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133825357","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}
{"title":"The Impact of Transitioning to Shared Electric Vehicles on Grid Congestion and Management","authors":"N. Brinkel, T. Alskaif, W. V. van Sark","doi":"10.1109/SEST48500.2020.9203241","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203241","url":null,"abstract":"The transition towards a sharing economy and the increasing electrification of the transport sector are occurring simultaneously. Consequently, we can expect more car sharing schemes using electric vehicles (EVs) to emerge in coming years. Numerous studies looked into the grid impact of EV charging and its potential to provide ancillary services, but these studies only considered regular EVs. This study compares the charging patterns of regular and shared EVs and creates insight in the grid impact and potential to provide ancillary services with future adoption of shared EVs. Four scenarios for the adoption of shared EVs are proposed, and a method to generate a set of future charging transactions based on historical charging data is presented. The analysis is performed using charging data from an EV sharing company in the Netherlands. Results indicate that charging demand peaks and grid congestion levels decrease substantially with higher adoption of shared EVs. Adoption of shared EVs increases the potential of EVs to provide ancillary services, due to a higher charging flexibility of shared EVs.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132593374","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}
Konstantinos Seklos, Georgios Tsaousoglou, Konstantinos Steriotis, N. Efthymiopoulos, Prodromos Makris, Emmanouel A. Varvarigos
{"title":"Designing a Distribution Level Flexibility Market using Mechanism Design and Optimal Power Flow","authors":"Konstantinos Seklos, Georgios Tsaousoglou, Konstantinos Steriotis, N. Efthymiopoulos, Prodromos Makris, Emmanouel A. Varvarigos","doi":"10.1109/SEST48500.2020.9203564","DOIUrl":"https://doi.org/10.1109/SEST48500.2020.9203564","url":null,"abstract":"Modern Smart Grids with high RES penetration at the distribution level, face great challenges related to congestion avoidance and voltage control. The development of a flexibility market that guarantees the constraint satisfaction of the distribution network and truthful (as opposed to strategic) player participation is necessary. This paper proposes an efficient flexibility market architecture that facilitates flexibility service provision in a distribution network. It leverages an optimal and incentive compatible mechanism in order to achieve efficiency (energy services with lower cost) and truthful participation.","PeriodicalId":302157,"journal":{"name":"2020 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114446014","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}