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A Medium Term Simulation Tool for the Integrated Gas and Power Systems – The Mathematical Formulation and an Application to a 2030 Italian Scenario
Giovanni Micheli;Laura Tagliabue;Maria Teresa Vespucci;Maria Gaeta;Dario Siface;Lanati Fabio
2021 AEIT International Annual Conference (AEIT)
Year: 2021 | Conference Paper |
Cited by: Papers (1)
The present work introduces the mathematical formulation of a new medium term simulation tool for the integrated power and gas systems. Such a tool is essential to properly study the increase in interaction between the energy systems that will result from the installation of power-to-gas units, which thanks to their flexibility are expected to help the power system in facing the drawbacks coming f...Show More
Centralized Optimal Management of Distribution Resources Considering the Effects of Local Controllers of Generators
Maria Teresa Vespucci;Paolo Pisciella;Giacomo Viganò;Diana Moneta;Marco Rossi;Daniele Stein;Lilia Consiglio
2019 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)
Year: 2019 | Conference Paper |
Cited by: Papers (3)
In order to foster increasing shares of renewable generation at distribution level, it is necessary to introduce control strategies to avoid voltage and loading congestions. Control strategies are also needed to facilitate the provision of ancillary services to the transmission grid by distributed resources. Centralized control solutions are often the best choice for an optimal management of distr...Show More
An Exact MILP Model for the Clearing of a Zonal Electricity Market with Uniform Purchase Price: Results and Comparison with Existing Approaches
Dario Siface;Paolo Pisciella;Federica Davò;Maria Teresa Vespucci
2018 15th International Conference on the European Energy Market (EEM)
Year: 2018 | Conference Paper |
Cited by: Papers (3)
The Italian day-ahead electricity market is a zonal market with a national uniform purchase price, called PUN (in Italian “Prezzo Unico Nazionale”). The clearing of such a market is based on linear programming techniques, where primal variables represent quantities of traded energy and dual variables represent prices. Since the PUN cannot be expressed as a linear combination of primal or dual vari...Show More
Forecasting Italian electricity market prices using a Neural Network and a Support Vector Regression
Federica Davò;Maria T. Vespucci;Alberto Gelmini;Paolo Grisi;Dario Ronzio
2016 AEIT International Annual Conference (AEIT)
Year: 2016 | Conference Paper |
Cited by: Papers (8)
This work explores two different techniques for the prediction of the Italian day-ahead electricity market prices, the zonal prices and the uniform purchase price (Prezzo Unico Nazionale or PUN). The study is conducted over a 2-year long period, with hourly data of the prices to be predicted and a large set of variables used as predictors (i.e. historical prices, forecast load, wind and solar powe...Show More
Stochastic optimization models for power generation capacity expansion with risk management
Maria Teresa Vespucci;Marida Bertocchi;Stefano Zigrino;Laureano F. Escudero
2013 10th International Conference on the European Energy Market (EEM)
Year: 2013 | Conference Paper |
Cited by: Papers (4)
We propose a two-stage stochastic optimization model for maximizing the profit of a price-taker power producer who has to decide his own power generation capacity expansion plan in a long time horizon, taking into account the uncertainty of the following parameters: fuel costs; market electricity prices, as well as prices of green certificates and CO2 emission allowances; market share. The paramet...Show More
A software tool for the optimal planning and the economic evaluation of residential cogeneration districts
Maria Teresa Vespucci;Stefano Zigrino;Francesca Bazzocchi;Alberto Gelmini
2011 8th International Conference on the European Energy Market (EEM)
Year: 2011 | Conference Paper |
Cited by: Papers (1)
We present a decision support procedure for the configuration of distributed generation systems in residential districts, where various types of energy demands (electrical load, high and medium temperature thermal load, cooling load) have to be served. In the configuration process alternative solutions have to be compared, both from a technical and an economical point of view, taking into account ...Show More
A Multi-Stage Stochastic Electricity Portfolio Model with Forwards Contracts
2010 International Conference on Management and Service Science
Year: 2010 | Conference Paper |
Cited by: Papers (2)
A stochastic multi-stage portfolio model for a hydropower producer operating in a competitive electricity market is proposed. The portfolio includes its own production and a set of forward contracts for future delivery or purchase of electricity to hedge against risks. The goal of using such a model is to maximise the profit of the producer and reduce the economic risks connected to the fact that ...Show More
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