Pub Date : 2019-09-27DOI: 10.1109/SEST.2019.8849146
Dario Dosen, Matej Žnidarec, D. Šljivac
This paper presents laboratory for renewable energy sources equipped with measurement data acquisition system. The system is developed by the Laboratory for Renewable Energy Sources (RESLAB) at the Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Croatia. Data acquisition system relies on specific hardware and software technologies incorporated into one system. It uses custom-based measuring hardware, strong communication protocols, automatic software processing mechanisms, web applications and server-side computation. Analysed system continuously measures electrical parameters acquired from photovoltaic (PV) technologies and meteorological parameters on the test site. Acquisition hardware consists of three main parts: data acquisition system of 5 PV modules made of different technologies; data acquisition system of 10 kWp PV system and data acquisition system of meteorological parameters. All measured data is stored in an extensive database. Stored data is organized and visualized on a dedicated web server. Measurement data acquisition system described in this paper represents unique, custom-developed and open-source data acquisition system used for long-term performance analysis of PVs and can be scaled and utilized for various research areas.
{"title":"Measurement Data Acquisition System in Laboratory for Renewable Energy Sources","authors":"Dario Dosen, Matej Žnidarec, D. Šljivac","doi":"10.1109/SEST.2019.8849146","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849146","url":null,"abstract":"This paper presents laboratory for renewable energy sources equipped with measurement data acquisition system. The system is developed by the Laboratory for Renewable Energy Sources (RESLAB) at the Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Croatia. Data acquisition system relies on specific hardware and software technologies incorporated into one system. It uses custom-based measuring hardware, strong communication protocols, automatic software processing mechanisms, web applications and server-side computation. Analysed system continuously measures electrical parameters acquired from photovoltaic (PV) technologies and meteorological parameters on the test site. Acquisition hardware consists of three main parts: data acquisition system of 5 PV modules made of different technologies; data acquisition system of 10 kWp PV system and data acquisition system of meteorological parameters. All measured data is stored in an extensive database. Stored data is organized and visualized on a dedicated web server. Measurement data acquisition system described in this paper represents unique, custom-developed and open-source data acquisition system used for long-term performance analysis of PVs and can be scaled and utilized for various research areas.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123829650","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 : 2019-09-26DOI: 10.1109/SEST.2019.8849020
D. Tzelepis, Q. Hong, C. Booth, P. Papadopoulos, J. Ramachandran, Guangya Yang
The objective of the studies presented in this paper is to demonstrate that the deployment and operational control of Synchronous Condensers (SynCons) combined with Static Compensators (STATCOM) in the GB transmission system can mitigate a part of the challenges associated with the high penetration of renewable energy sources. The case studies include scenarios such as transmission-level faults, fault level calculation and dynamic reactive power provision. For these scenarios, SynCons and STATCOMs of different capacity and design are installed at different regions of the GB transmission system. For these studies, verified models of SynCons and STATCOMs are deployed which are integrated to a representative GB network model. All the studies have been implemented in RMS simulation environment using Power Factory ‐ DIgSILENT package software.
{"title":"Enhancing Short-Circuit Level and Dynamic Reactive Power Exchange in GB Transmission Networks under Low Inertia Scenarios","authors":"D. Tzelepis, Q. Hong, C. Booth, P. Papadopoulos, J. Ramachandran, Guangya Yang","doi":"10.1109/SEST.2019.8849020","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849020","url":null,"abstract":"The objective of the studies presented in this paper is to demonstrate that the deployment and operational control of Synchronous Condensers (SynCons) combined with Static Compensators (STATCOM) in the GB transmission system can mitigate a part of the challenges associated with the high penetration of renewable energy sources. The case studies include scenarios such as transmission-level faults, fault level calculation and dynamic reactive power provision. For these scenarios, SynCons and STATCOMs of different capacity and design are installed at different regions of the GB transmission system. For these studies, verified models of SynCons and STATCOMs are deployed which are integrated to a representative GB network model. All the studies have been implemented in RMS simulation environment using Power Factory ‐ DIgSILENT package software.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125600498","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 : 2019-09-09DOI: 10.1109/SEST.2019.8849125
F. Kremer, Maxime Buquet, Hervé Biellmann, S. Rael, M. Urbain, Pierre Beaufrère
Grid power systems constantly seek innovative ways to improve their efficiency and flexibility with an ever-evolving mix, and more volatile markets. Energy storage systems could bring about these outcomes, as shown in multiple studies over the last decade. More recently, combining a thermal asset, herein a combined cycle power plant, and the Battery Energy Storage System creates the concept of so-called “PI-BESS”. The expected benefits of hardware and software integration for the grid are the enhanced flexibility and robustness. Moreover, the integration brings new opportunities and optimization for the owner of the thermal hybrid plant. Capable of using the best of the two assets, it optimizes timely power delivery to the grid, allows energy arbitrage depending upon market services requirement, or starts the powerplant without external help in case of grid failure. This paper particularly focuses on those outcomes and the design of the storage system.
{"title":"Analysis of Battery Energy Storage System Integration in a Combined Cycle Power Plant","authors":"F. Kremer, Maxime Buquet, Hervé Biellmann, S. Rael, M. Urbain, Pierre Beaufrère","doi":"10.1109/SEST.2019.8849125","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849125","url":null,"abstract":"Grid power systems constantly seek innovative ways to improve their efficiency and flexibility with an ever-evolving mix, and more volatile markets. Energy storage systems could bring about these outcomes, as shown in multiple studies over the last decade. More recently, combining a thermal asset, herein a combined cycle power plant, and the Battery Energy Storage System creates the concept of so-called “PI-BESS”. The expected benefits of hardware and software integration for the grid are the enhanced flexibility and robustness. Moreover, the integration brings new opportunities and optimization for the owner of the thermal hybrid plant. Capable of using the best of the two assets, it optimizes timely power delivery to the grid, allows energy arbitrage depending upon market services requirement, or starts the powerplant without external help in case of grid failure. This paper particularly focuses on those outcomes and the design of the storage system.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123158443","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 : 2019-09-09DOI: 10.1109/SEST.2019.8849027
S. Wogrin, D. Tejada-Arango, S. Pineda, J. Morales
In this paper we compare two cutting-edge time-period aggregation methodologies for power system models that consider both renewables and storage technologies: the chronological time-period clustering; and, the enhanced representative period approach. Such methodologies are used in order to reduce the computational burden of highly complex optimization models while not compromising the quality of the results. With this paper, we identify which method works best, and under which conditions, in order to reproduce the outcomes of the hourly benchmark model.
{"title":"What time-period aggregation method works best for power system operation models with renewables and storage?","authors":"S. Wogrin, D. Tejada-Arango, S. Pineda, J. Morales","doi":"10.1109/SEST.2019.8849027","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849027","url":null,"abstract":"In this paper we compare two cutting-edge time-period aggregation methodologies for power system models that consider both renewables and storage technologies: the chronological time-period clustering; and, the enhanced representative period approach. Such methodologies are used in order to reduce the computational burden of highly complex optimization models while not compromising the quality of the results. With this paper, we identify which method works best, and under which conditions, in order to reproduce the outcomes of the hourly benchmark model.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122276238","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 : 2019-09-09DOI: 10.1109/SEST.2019.8849107
Isaac-Camilo Gonzalez-Romero, S. Wogrin, T. Gómez
Under the current European market environment, transmission companies have to decide network expansion by maximizing social welfare. However, generation companies (GENCOs) decide their capacity expansion with the aim of maximizing their own profit. This process, in addition to the increasing penetration of renewable energy, storage and distributed generation, might represent a rupture between short and long-term signals. Therefore, this paper proposes a bi-level formulation for the generation and transmission coordination problem (GEPTEP). We consider a proactive framework in which a centralized TSO represents the upper level while the decentralized GENCOs, that trade in the market, represent the lower level. A case study is presented to evaluate different policy planning objectives. Additionally, the planning results of the bilevel framework (considering both perfect competition and Cournot oligopoly in the lower level) are compared with a traditional cost minimization framework.
{"title":"What is the cost of disregarding market feedback in transmission expansion planning?","authors":"Isaac-Camilo Gonzalez-Romero, S. Wogrin, T. Gómez","doi":"10.1109/SEST.2019.8849107","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849107","url":null,"abstract":"Under the current European market environment, transmission companies have to decide network expansion by maximizing social welfare. However, generation companies (GENCOs) decide their capacity expansion with the aim of maximizing their own profit. This process, in addition to the increasing penetration of renewable energy, storage and distributed generation, might represent a rupture between short and long-term signals. Therefore, this paper proposes a bi-level formulation for the generation and transmission coordination problem (GEPTEP). We consider a proactive framework in which a centralized TSO represents the upper level while the decentralized GENCOs, that trade in the market, represent the lower level. A case study is presented to evaluate different policy planning objectives. Additionally, the planning results of the bilevel framework (considering both perfect competition and Cournot oligopoly in the lower level) are compared with a traditional cost minimization framework.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"185 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125164957","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 : 2019-09-09DOI: 10.1109/SEST.2019.8849045
Maximilian L. Ellery, M. Ndawula, I. Hernando‐Gil
This paper analyses the effect of new smart grid technologies (SGTs) on the reliability indices typically specified by distribution network operators in low-voltage rural distribution systems. Rural areas generally denoted as “thinly-populated”, are to a large extent neglected in the anticipated transformation of existing networks into the future smart grid. An innovative Monte Carlo simulation technique is refined in this analysis to model the stochastic failure rates of power components over a specific time period, which are then applied to network load flow analysis to assess the quality of supply enhancement of a modelled rural distribution network. The proposed method enables much faster and more refined reliability studies, allowing for larger data sets to capture the inherent uncertainty from the new SGTs. Simulation results providing base case reliability indices, and the addition of SGTs accumulated from models in previous works, provide scenarios used for comparison into SGT-effectiveness.
{"title":"Reliability Enhancement of LV Rural Networks using Smart Grid Technologies","authors":"Maximilian L. Ellery, M. Ndawula, I. Hernando‐Gil","doi":"10.1109/SEST.2019.8849045","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849045","url":null,"abstract":"This paper analyses the effect of new smart grid technologies (SGTs) on the reliability indices typically specified by distribution network operators in low-voltage rural distribution systems. Rural areas generally denoted as “thinly-populated”, are to a large extent neglected in the anticipated transformation of existing networks into the future smart grid. An innovative Monte Carlo simulation technique is refined in this analysis to model the stochastic failure rates of power components over a specific time period, which are then applied to network load flow analysis to assess the quality of supply enhancement of a modelled rural distribution network. The proposed method enables much faster and more refined reliability studies, allowing for larger data sets to capture the inherent uncertainty from the new SGTs. Simulation results providing base case reliability indices, and the addition of SGTs accumulated from models in previous works, provide scenarios used for comparison into SGT-effectiveness.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133732716","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 : 2019-09-09DOI: 10.1109/SEST.2019.8849028
Jonathan Hermann, B. Hammer, U. Konigorski
In this paper, we discuss the primary and secondary control of inverter-based microgrids. In contrast to common approaches, we neither neglect losses nor restrict the structure of primary control in order to achieve secondary control objectives. Instead, we use all degrees of freedom of primary control to accomplish frequency and voltage stability as well as approximate power sharing. We then pursue stationary accuracy of frequency regulation and power sharing by secondary control. To this end, we propose a secondary controller based on load estimation and output regulation. We illustrate the effectiveness of our approach in simulations and compare it to a consensus-based approach.
{"title":"Primary and Secondary Control in Lossy Inverter-Based Microgrids","authors":"Jonathan Hermann, B. Hammer, U. Konigorski","doi":"10.1109/SEST.2019.8849028","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849028","url":null,"abstract":"In this paper, we discuss the primary and secondary control of inverter-based microgrids. In contrast to common approaches, we neither neglect losses nor restrict the structure of primary control in order to achieve secondary control objectives. Instead, we use all degrees of freedom of primary control to accomplish frequency and voltage stability as well as approximate power sharing. We then pursue stationary accuracy of frequency regulation and power sharing by secondary control. To this end, we propose a secondary controller based on load estimation and output regulation. We illustrate the effectiveness of our approach in simulations and compare it to a consensus-based approach.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"284 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122964732","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 : 2019-09-01DOI: 10.1109/SEST.2019.8849038
Shaghayegh Zalzar, E. Bompard
The recent energy policy trends towards expanding the penetration of variable renewable energy sources in electricity generation sector brings about new short/long term challenges for operation/planning of power systems. Due to the significant variability and uncertainty of electricity production by these resources, system operators may require additional flexibility resources to continuously balance supply and demand and to preserve power system security under high penetration of renewables. In this paper, the participation of flexible demands in day-ahead market under high share of renewables (in particular wind generation) is modelled through a two-stage stochastic program which takes into account the day-ahead prediction error of wind production. Demand-side flexibility is modelled as load shifting capability, without affecting the total electricity demand per day. An incentive payment mechanism to settle the flexible demands in the day-ahead market is proposed which provides additional revenue for consumers and motivates them to provide flexibility. The incentive rate is set by the system operator, while the accepted consumers to receive this incentive are selected through the market mechanism, according to the additional value of the provided flexibility compared to the cost of providing the incentives. Finally, the maximum incentive which can be paid to flexibility providers under different levels of demand-side flexibility is investigated on the conceptual test case of this study.
{"title":"An Incentive-Based Settlement Mechanism for Participation of Flexible Demands in Day-ahead Markets","authors":"Shaghayegh Zalzar, E. Bompard","doi":"10.1109/SEST.2019.8849038","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849038","url":null,"abstract":"The recent energy policy trends towards expanding the penetration of variable renewable energy sources in electricity generation sector brings about new short/long term challenges for operation/planning of power systems. Due to the significant variability and uncertainty of electricity production by these resources, system operators may require additional flexibility resources to continuously balance supply and demand and to preserve power system security under high penetration of renewables. In this paper, the participation of flexible demands in day-ahead market under high share of renewables (in particular wind generation) is modelled through a two-stage stochastic program which takes into account the day-ahead prediction error of wind production. Demand-side flexibility is modelled as load shifting capability, without affecting the total electricity demand per day. An incentive payment mechanism to settle the flexible demands in the day-ahead market is proposed which provides additional revenue for consumers and motivates them to provide flexibility. The incentive rate is set by the system operator, while the accepted consumers to receive this incentive are selected through the market mechanism, according to the additional value of the provided flexibility compared to the cost of providing the incentives. Finally, the maximum incentive which can be paid to flexibility providers under different levels of demand-side flexibility is investigated on the conceptual test case of this study.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127260217","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 : 2019-09-01DOI: 10.1109/SEST.2019.8849148
E. Sosnina, A. Shalukho, I. Lipuzhin, L. Veselov, A. Shashkin
The article is devoted to the application of solid oxide fuel cells (SOFC) in stand-alone power supply systems for agricultural enterprises. The solution to the low maneuverability problem of a SOFC based power plant has been proposed. Three types of the stand-alone power supply system with the SOFC based power plant have been considered. The structural diagrams of power supply systems are presented and the equipment parameters have been calculated. The possible electricity generation and energy system efficiency have been determined based on mathematical modeling. The economic analysis of the power supply system options has been carried out and the most promising option has been determined on the base of Levelized Cost of Energy (LCOE).
{"title":"Power Supply System with Power Plant on Solid Oxide Fuel Cells","authors":"E. Sosnina, A. Shalukho, I. Lipuzhin, L. Veselov, A. Shashkin","doi":"10.1109/SEST.2019.8849148","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849148","url":null,"abstract":"The article is devoted to the application of solid oxide fuel cells (SOFC) in stand-alone power supply systems for agricultural enterprises. The solution to the low maneuverability problem of a SOFC based power plant has been proposed. Three types of the stand-alone power supply system with the SOFC based power plant have been considered. The structural diagrams of power supply systems are presented and the equipment parameters have been calculated. The possible electricity generation and energy system efficiency have been determined based on mathematical modeling. The economic analysis of the power supply system options has been carried out and the most promising option has been determined on the base of Levelized Cost of Energy (LCOE).","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124855810","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}
This paper considers a setting where a number of users want to drive their Electric Vehicles (EVs) to a certain geographical area, park them in a Charging Station (CS), and receive them fully charged upon departure. Each CS faces a number of constraints related to the power that it can provide. In order to serve its EVs, each CS solves an optimization problem to derive the charging schedule, so that no constraints are violated and the energy needs of the parked EVs are met. The motivating problem is that centrally located CSs become congested and users that arrive later can no longer be served. In order to tackle this problem we propose a method for the stochastic estimation of Charging Stations' shadow prices based on a dual decomposition method applied to offline simulations. Prices are determined so as to serve as many EVs as possible and minimize the social cost while satisfying their constraints and energy needs. The algorithm's performance was evaluated under a number of possible online scenarios and compared to a benchmark solution in terms of competitive ratio and number of EVs served.
{"title":"A stochastic approximation method for price-based assignment of Electric Vehicles to Charging Stations","authors":"Georgios Tsaousoglou, Konstantinos Steriotis, Emmanouel Varvarigos","doi":"10.1109/SEST.2019.8849154","DOIUrl":"https://doi.org/10.1109/SEST.2019.8849154","url":null,"abstract":"This paper considers a setting where a number of users want to drive their Electric Vehicles (EVs) to a certain geographical area, park them in a Charging Station (CS), and receive them fully charged upon departure. Each CS faces a number of constraints related to the power that it can provide. In order to serve its EVs, each CS solves an optimization problem to derive the charging schedule, so that no constraints are violated and the energy needs of the parked EVs are met. The motivating problem is that centrally located CSs become congested and users that arrive later can no longer be served. In order to tackle this problem we propose a method for the stochastic estimation of Charging Stations' shadow prices based on a dual decomposition method applied to offline simulations. Prices are determined so as to serve as many EVs as possible and minimize the social cost while satisfying their constraints and energy needs. The algorithm's performance was evaluated under a number of possible online scenarios and compared to a benchmark solution in terms of competitive ratio and number of EVs served.","PeriodicalId":158839,"journal":{"name":"2019 International Conference on Smart Energy Systems and Technologies (SEST)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125553592","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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