Loading [MathJax]/extensions/MathZoom.js
Stylianos I. Vagropoulos - IEEE Xplore Author Profile
Subscribe
ADVANCED SEARCH

Author details

< Back

Stylianos I. Vagropoulos

Also published under: S. I. Vagropoulos

Publications
17
Citations
758
Publications by Year
20132023
Co-Authors:
Show All Co-Authors (21)
Image of author Stylianos I. Vagropoulos

Stylianos I. Vagropoulos

Also published under: S. I. Vagropoulos

Affiliation

Department of Energy Systems
University of Thessaly
Larissa, Greece

Publication Topics

Biography

Stylianos I. Vagropoulos (S’06–M’16) received the Dipl.Eng. and Ph.D. degrees in electrical and computer engineering in 2010 and 2016, respectively, from Aristotle University of Thessaloniki, Thessaloniki, Greece, where he is currently a Research Associate. His research interests are in power system operation and economics, market integration of RES, electricity storage, and electric vehicles, and RES forecasting.(Based on document published on 16 September 2016).
Publications
17
Citations
758
Publications by Year
20132023
Co-Authors:
Show All Co-Authors (21)
Author's Published Works

Showing 1-17 of 17 results

  • Sort

Filter Results

Show

Sort By

Results

Electric vehicle smart charging business case - outcomes and prospects for electric vehicle aggregators

Stylianos I. Vagropoulos;Stratos D. Keranidis;Konstantinos D. Afentoulis;Zafeirios N. Bampos;Vasileios M. Laitsos

2023 19th International Conference on the European Energy Market (EEM)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
This paper presents the major outcomes and prospects of the ELVIS research project which aims to deliver a fully integrated market-based smart charging services platform to Electric Vehicle Aggregators. The platform includes three innovative components for use in real-world cases: an online profiling and forecasting tool for plug-in electric vehicle fleets, a series of innovative mathematical mode...Show More

Electric vehicle smart charging business case - outcomes and prospects for electric vehicle aggregators

Stylianos I. Vagropoulos;Stratos D. Keranidis;Konstantinos D. Afentoulis;Zafeirios N. Bampos;Vasileios M. Laitsos

Year: 2023 | Conference Paper |

Comparison of deep learning approaches for electric vehicle load curves forecasting

Zafeirios N. Bampos;Vasileios M. Laitsos;Konstantinos D. Afentoulis;Stratos D. Keranidis;Stylianos I. Vagropoulos

2023 19th International Conference on the European Energy Market (EEM)
Year: 2023 | Conference Paper |
Electric Vehicles (EVs) are becoming increasingly prevalent in modern transportation systems. Their fast penetration is followed by a need for accurate forecasting of EV load curves, a process particularly important for market entities like electricity suppliers and/or electric vehicle aggregators that participate in wholesale electricity markets. In this paper, two deep learning forecasting model...Show More

Comparison of deep learning approaches for electric vehicle load curves forecasting

Zafeirios N. Bampos;Vasileios M. Laitsos;Konstantinos D. Afentoulis;Stratos D. Keranidis;Stylianos I. Vagropoulos

Year: 2023 | Conference Paper |

Demand Response Management by Rolling Unit Commitment for High Renewable Energy Penetration

Emmanouil A. Bakirtzis;Ilias G. Marneris;Stylianos I. Vagropoulos;Pandelis N. Biskas;Anastasios G. Bakirtzis

2018 International Conference on Smart Energy Systems and Technologies (SEST)
Year: 2018 | Conference Paper |
Cited by: Papers (2)
We present an efficient demand response formulation embedded in a short-term power system scheduling framework suitable to cope with increasing renewable energy injections. The proposed framework comprises a real time unified unit commitment-economic dispatch model coupled with a generic model for responsive residential, commercial and industrial loads. In this way, a more efficient utilization of...Show More

Demand Response Management by Rolling Unit Commitment for High Renewable Energy Penetration

Emmanouil A. Bakirtzis;Ilias G. Marneris;Stylianos I. Vagropoulos;Pandelis N. Biskas;Anastasios G. Bakirtzis

Year: 2018 | Conference Paper |

An integrated simulation platform for assessing the integration of plug-in electric vehicles in electricity markets

Stylianos I. Vagropoulos;Anastasios G. Bakirtzis;João P. S. Catalão

2017 IEEE Manchester PowerTech
Year: 2017 | Conference Paper |
Cited by: Papers (1)
In this paper an innovative, hierarchical, four-level optimization framework is proposed to model the optimal participation of Electric Vehicle Aggregators (EVAs) in day-ahead and real-time energy and regulation markets in conjunction with the optimal real-time charging management of the EV fleet. The scope of the framework is to incorporate in an integrated approach all the conjugated optimizatio...Show More

An integrated simulation platform for assessing the integration of plug-in electric vehicles in electricity markets

Stylianos I. Vagropoulos;Anastasios G. Bakirtzis;João P. S. Catalão

Year: 2017 | Conference Paper |

An Investigation of Plug-In Electric Vehicle Charging Impact on Power Systems Scheduling and Energy Costs

Stylianos I. Vagropoulos;Georgios A. Balaskas;Anastasios G. Bakirtzis

IEEE Transactions on Power Systems
Year: 2017 | Volume: 32, Issue: 3 | Journal Article |
Cited by: Papers (87)
This paper investigates the impact of plug-in electric vehicle (EV) integration on the power systems scheduling and energy cost. An intermediary entity, the EV aggregator, participates in the market on behalf of the EV owners by optimally self-scheduling under the price-taking approach. Through detailed rolling simulations for a year and different EVs' penetration scenarios at a large insular powe...Show More

An Investigation of Plug-In Electric Vehicle Charging Impact on Power Systems Scheduling and Energy Costs

Stylianos I. Vagropoulos;Georgios A. Balaskas;Anastasios G. Bakirtzis

Year: 2017 | Volume: 32, Issue: 3 | Journal Article |

Comparison of SARIMAX, SARIMA, modified SARIMA and ANN-based models for short-term PV generation forecasting

Stylianos I. Vagropoulos;G. I. Chouliaras;E. G. Kardakos;C. K. Simoglou;A. G. Bakirtzis

2016 IEEE International Energy Conference (ENERGYCON)
Year: 2016 | Conference Paper |
Cited by: Papers (104)
This paper compares four practical methods for electricity generation forecasting of grid-connected Photovoltaic (PV) plants, namely Seasonal Autoregressive Integrated Moving Average (SARIMA) modeling, SARIMAX modeling (SARIMA modeling with exogenous factor), modified SARIMA modeling, as a result of an a posteriori modification of the SARIMA model, and ANN-based modeling. Interesting results regar...Show More

Comparison of SARIMAX, SARIMA, modified SARIMA and ANN-based models for short-term PV generation forecasting

Stylianos I. Vagropoulos;G. I. Chouliaras;E. G. Kardakos;C. K. Simoglou;A. G. Bakirtzis

Year: 2016 | Conference Paper |

Real-Time Charging Management Framework for Electric Vehicle Aggregators in a Market Environment

Stylianos I. Vagropoulos;Dimitrios K. Kyriazidis;Anastasios G. Bakirtzis

IEEE Transactions on Smart Grid
Year: 2016 | Volume: 7, Issue: 2 | Journal Article |
A framework for real-time (RT) charging management of an electric vehicle aggregator (EVA) participating in electric energy and regulation markets is proposed. The developed models, which assign charging set points to the electric vehicles (EVs) based on evolving EV charging priorities, are formulated as linear programs that can be solved very fast. A model of the most common (constant current-con...Show More

Real-Time Charging Management Framework for Electric Vehicle Aggregators in a Market Environment

Stylianos I. Vagropoulos;Dimitrios K. Kyriazidis;Anastasios G. Bakirtzis

Year: 2016 | Volume: 7, Issue: 2 | Journal Article |

Large-scale res integration in electricity markets: Challenges and potential solutions

C.K. Simoglou;S.I. Vagropoulos;E.A. Bakirtzis;E.G. Kardakos;D.I. Chatzigiannis;P.N. Biskas;A.G. Bakirtzis

2015 50th International Universities Power Engineering Conference (UPEC)
Year: 2015 | Conference Paper |
Cited by: Papers (3)
The increasing shares of renewable energy in power systems have a significant impact on the operation of electricity markets and grids worldwide. This paper provides an overview of the main challenges that high shares of renewable generation introduce in the power system management and electricity markets operation as well as a brief description of potential solutions for alleviating the negative ...Show More

Large-scale res integration in electricity markets: Challenges and potential solutions

C.K. Simoglou;S.I. Vagropoulos;E.A. Bakirtzis;E.G. Kardakos;D.I. Chatzigiannis;P.N. Biskas;A.G. Bakirtzis

Year: 2015 | Conference Paper |

Artificial neural network-based methodology for short-term electric load scenario generation

Stylianos I. Vagropoulos;Evaggelos G. Kardakos;Christos K. Simoglou;Anastasios G. Bakirtzis;João P. S. Catalão

2015 18th International Conference on Intelligent System Application to Power Systems (ISAP)
Year: 2015 | Conference Paper |
Cited by: Papers (4)
In this paper a novel scenario generation methodology based on artificial neural networks (ANNs) is proposed. The methodology is able to create scenarios for various power system-related stochastic variables. Scenario reduction methodologies can then be applied to effectively reduce the number of scenarios. An application of the methodology for the creation of short-term electric load scenarios fo...Show More

Artificial neural network-based methodology for short-term electric load scenario generation

Stylianos I. Vagropoulos;Evaggelos G. Kardakos;Christos K. Simoglou;Anastasios G. Bakirtzis;João P. S. Catalão

Year: 2015 | Conference Paper |

Assessment of load shifting potential on large insular power systems

Stylianos I. Vagropoulos;Iraklis-Marios D. Katsolas;Anastasios G. Bakirtzis

2015 IEEE Eindhoven PowerTech
Year: 2015 | Conference Paper |
Cited by: Papers (1)
This paper examines the value of load shifting (LS) and its impact on the scheduling and operation of large insular power systems which are typically characterized by high electricity generation cost and often by high Renewable Energy Resources (RES) share in the generation mix. An optimization model for the integration of load shifting in the unit commitment problem is presented and consecutive d...Show More

Assessment of load shifting potential on large insular power systems

Stylianos I. Vagropoulos;Iraklis-Marios D. Katsolas;Anastasios G. Bakirtzis

Year: 2015 | Conference Paper |

Bidding strategy for risk-averse producers in transmission-constrained electricity markets

Evaggelos G. Kardakos;Christos K. Simoglou;Stylianos I. Vagropoulos;Anastasios G. Bakirtzis

2015 12th International Conference on the European Energy Market (EEM)
Year: 2015 | Conference Paper |
Cited by: Papers (2)
In this paper a risk-averse producer who participates in a transmission-constrained day-ahead electricity market is considered. The producer objective is to maximize the expected profit from selling energy in the day-ahead market, avoiding at the same time the risk of experiencing low profit scenarios. For this purpose, a two-stage stochastic bi-level optimization model is developed, where the unc...Show More

Bidding strategy for risk-averse producers in transmission-constrained electricity markets

Evaggelos G. Kardakos;Christos K. Simoglou;Stylianos I. Vagropoulos;Anastasios G. Bakirtzis

Year: 2015 | Conference Paper |

Integration of a hybrid power station in the insular power system of Crete

Andreas V. Ntomaris;Stylianos I. Vagropoulos;Anastasios G. Bakirtzis

IEEE PES Innovative Smart Grid Technologies, Europe
Year: 2014 | Conference Paper |
Cited by: Papers (2)
Climate change and diminishing fossil natural resources have motivated governments worldwide to incentivize the exploitation of the available renewable energy sources (RES). Saturated island systems have already exploited considerable amounts of the available renewable energy potential. However, technical limitations imposed by the conventional generation fleet restrict further RES development. Hy...Show More

Integration of a hybrid power station in the insular power system of Crete

Andreas V. Ntomaris;Stylianos I. Vagropoulos;Anastasios G. Bakirtzis

Year: 2014 | Conference Paper |

Financial viability of investments on electric vehicle charging stations in workplaces with parking lots under flat rate retail tariff schemes

Stylianos I. Vagropoulos;Alexandros P. Kleidaras;Anastasios G. Bakirtzis

2014 49th International Universities Power Engineering Conference (UPEC)
Year: 2014 | Conference Paper |
Cited by: Papers (5)
This paper assesses the financial viability of an investment on Electric Vehicle Charging Stations (EVCSs) from a commercial/industrial workplace with a parking lot, which acts as a reseller that purchases energy from the grid and then sells energy to the Electric Vehicle (EV) owners at a new flat rate tariff. Investment cost drivers (expected EVCSs costs, anticipated EV charging needs, EVCSs oper...Show More

Financial viability of investments on electric vehicle charging stations in workplaces with parking lots under flat rate retail tariff schemes

Stylianos I. Vagropoulos;Alexandros P. Kleidaras;Anastasios G. Bakirtzis

Year: 2014 | Conference Paper |

Assessment of the impact of a battery energy storage system on the scheduling and operation of the insular power system of Crete

Stylianos I. Vagropoulos;Christos K. Simoglou;Anastasios G. Bakirtzis;Emmanouil J. Thalassinakis;Antiopi Gigantidou

2014 49th International Universities Power Engineering Conference (UPEC)
Year: 2014 | Conference Paper |
Cited by: Papers (5)
This paper examines the impact that the installation of battery energy storage systems (BESSs) has on the daily scheduling and operation of the insular power system of Crete. An optimization model for the integration of BESS in the day-ahead unit commitment problem of isolated power systems is developed and annual simulations are carried out for BESSs of different dimensioning regarding power, cap...Show More

Assessment of the impact of a battery energy storage system on the scheduling and operation of the insular power system of Crete

Stylianos I. Vagropoulos;Christos K. Simoglou;Anastasios G. Bakirtzis;Emmanouil J. Thalassinakis;Antiopi Gigantidou

Year: 2014 | Conference Paper |

Application of time series and artificial neural network models in short-term forecasting of PV power generation

E. G. Kardakos;M. C. Alexiadis;S. I. Vagropoulos;C. K. Simoglou;P. N. Biskas;A. G. Bakirtzis

2013 48th International Universities' Power Engineering Conference (UPEC)
Year: 2013 | Conference Paper |
Cited by: Papers (70)
This paper addresses two practical methods for electricity generation forecasting of grid-connected PV plants. The first model is based on seasonal ARIMA time-series analysis and is further improved by incorporating short-term solar radiation forecasts derived from NWP models. The second model adopts artificial neural networks with multiple inputs. Day-ahead and rolling intra-day forecast updates ...Show More

Application of time series and artificial neural network models in short-term forecasting of PV power generation

E. G. Kardakos;M. C. Alexiadis;S. I. Vagropoulos;C. K. Simoglou;P. N. Biskas;A. G. Bakirtzis

Year: 2013 | Conference Paper |

Synergistic supply offer and demand bidding strategies for wind producers and electric vehicle aggregators in day-ahead electricity markets

Stylianos I. Vagropoulos;Christos K. Simoglou;Anastasios G. Bakirtzis

2013 IREP Symposium Bulk Power System Dynamics and Control - IX Optimization, Security and Control of the Emerging Power Grid
Year: 2013 | Conference Paper |
Cited by: Papers (7)
This work evaluates the opportunities for increased profits owing to the better management of energy deviations under a synergistic supply offer and demand bidding strategy of a wind energy producer and an electric vehicle (EV) aggregator that participate in day-ahead energy and regulation reserve market. The new market player acts as a prosumer and participates in the electricity market with syne...Show More

Synergistic supply offer and demand bidding strategies for wind producers and electric vehicle aggregators in day-ahead electricity markets

Stylianos I. Vagropoulos;Christos K. Simoglou;Anastasios G. Bakirtzis

Year: 2013 | Conference Paper |

Optimal Bidding Strategy for Electric Vehicle Aggregators in Electricity Markets

Stylianos I. Vagropoulos;Anastasios G. Bakirtzis

IEEE Transactions on Power Systems
Year: 2013 | Volume: 28, Issue: 4 | Journal Article |
This paper determines the optimal bidding strategy of an electric vehicle (EV) aggregator participating in day-ahead energy and regulation markets using stochastic optimization. Key sources of uncertainty affecting the bidding strategy are identified and incorporated in the stochastic optimization model. The aggregator portfolio optimization model should include inevitable deviations between day-a...Show More

Optimal Bidding Strategy for Electric Vehicle Aggregators in Electricity Markets

Stylianos I. Vagropoulos;Anastasios G. Bakirtzis

Year: 2013 | Volume: 28, Issue: 4 | Journal Article |

IEEE Account

Purchase Details

Profile Information

Need Help?

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.