Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Evaggelos G. Kardakos"'
Publikováno v:
2018 Power Systems Computation Conference (PSCC)
This paper presents a stochastic bi-level model to derive optimal offering strategies for an aggregated photovoltaic (PV) power plant, who participates as a price-maker in both day-ahead and intraday markets, and a deviator in the balancing market. T
Publikováno v:
2017 IEEE Innovative Smart Grid Technologies-Asia (ISGT-Asia)
This paper derives optimal day-ahead trading strategies for an aggregator of a decentralized energy resources' mix, who participates in a multi-market environment, including a day-ahead, an intraday and a balancing market. The optimization problem is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::615ce519857dc502aee5d2e7d4b229ed
https://hdl.handle.net/20.500.11850/223881
https://hdl.handle.net/20.500.11850/223881
Autor:
Andreas V. Ntomaris, Evaggelos G. Kardakos, Pandelis N. Biskas, Stylianos I. Vagropoulos, Emmanouil J. Thalassinakis, Christos K. Simoglou, Emmanouil A. Bakirtzis, Antiopi Gigantidou, Joao P. S. Catalao, Dimitris I. Chatzigiannis, Anastasios G. Bakirtzis
Publikováno v:
Renewable and Sustainable Energy Reviews. 38:415-427
This paper presents an overview of the different methodologies and mathematical optimization models developed in the framework of the EU-funded project SiNGULAR towards the optimal exploitation and efficient short-term operation of RES production in
Publikováno v:
Electric Power Systems Research. 109:141-149
This paper addresses the problem of developing an optimal bidding strategy for a strategic producer in a transmission-constrained day-ahead electricity market. The optimal bidding strategy is formulated as a bi-level optimization problem, where the f
Publikováno v:
IEEE Transactions on Power Systems. 28:2526-2535
This paper presents a simulation model based on the diagonalization algorithm for the study of the short-term operation of a pool-based oligopolistic electricity market with multi-period auctions. A detailed producer's profit maximization model as we
Autor:
Christos K. Simoglou, G. I. Chouliaras, Evaggelos G. Kardakos, Anastasios G. Bakirtzis, Stylianos I. Vagropoulos
Publikováno v:
2016 IEEE International Energy Conference (ENERGYCON).
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
Autor:
Anastasios G. Bakirtzis, Pandelis N. Biskas, Emmanouil A. Bakirtzis, Evaggelos G. Kardakos, Dimitris I. Chatzigiannis, Stylianos I. Vagropoulos, Christos K. Simoglou
Publikováno v:
2015 50th International Universities Power Engineering Conference (UPEC).
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 introduc
Autor:
Stylianos I. Vagropoulos, Evaggelos G. Kardakos, Anastasios G. Bakirtzis, Christos K. Simoglou, Joao P. S. Catalao
Publikováno v:
2015 18th International Conference on Intelligent System Application to Power Systems (ISAP).
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
Autor:
Anastasios G. Bakirtzis, Emmanouil A. Bakirtzis, Stylianos I. Vagropoulos, Christos K. Simoglou, Evaggelos G. Kardakos
Publikováno v:
Smart and Sustainable Power Systems ISBN: 9781498712125
Smart and Sustainable Power Systems: Operations, Planning, and Economics of Insular Electricity Grids
Smart and Sustainable Power Systems: Operations, Planning, and Economics of Insular Electricity Grids
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d28fea48d10f4c80ff65f25c9aa16633
https://doi.org/10.1201/b18605-5
https://doi.org/10.1201/b18605-5
Publikováno v:
2015 IEEE Eindhoven PowerTech.
This paper proposes an optimal bidding strategy for a wind producer who participates as price-maker in the day-ahead electricity market. In order to empower the wind producer against the challenges introduced by the intermittent nature of wind power