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Details

  • Name

    José Pedro Iria
  • Cluster

    Power and Energy
  • Role

    Research Assistant
  • Since

    10th February 2011
Publications

2018

Trading Small Prosumers Flexibility in the Energy and Tertiary Reserve Markets

Authors
Iria, JP; Soares, FJ; Matos, MA;

Publication
IEEE Transactions on Smart Grid

Abstract

2017

Using choreographies to support the gamification process on the development of an application to reduce electricity costs

Authors
Cassola, F; Iria, J; Paredes, H; Morgado, L; Coelho, A; Soares, F;

Publication
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Abstract

2017

Trading small prosumers flexibility in the day-ahead energy market

Authors
Iria, JP; Soares, FJ; Matos, MA;

Publication
2017 IEEE Power & Energy Society General Meeting

Abstract

2017

Optimal supply and demand bidding strategy for an aggregator of small prosumers

Authors
Iria, J; Soares, F; Matos, M;

Publication
Applied Energy

Abstract
This paper addresses the problem faced by an aggregator of small prosumers, when participating in the energy market. The aggregator exploits the flexibility of prosumers' appliances, in order to reduce its market net costs. Two optimization procedures are proposed. A two-stage stochastic optimization model to support the aggregator in the definition of demand and supply bids. The aim is to minimize the net cost of the aggregator buying and selling energy at day-ahead and real-time market stages. Scenario-based stochastic programing is used to deal with the uncertainty of electricity demand, end-users' behavior, outdoor temperature and renewable generation. The second optimization is a model predictive control method to set the operation of flexible loads in real-time. A case study of 1000. small prosumers from the Iberian market is used to compare four day-ahead bidding strategies and two real-time control strategies, as well as the performance of combined day-ahead and real-time strategies. The numerical results show that the proposed strategies allow the aggregator to reduce the net cost by 14% compared to a benchmark typically used by retailers (inflexible strategy). © 2017 Elsevier Ltd.

2017

Stochastic market clearing model with probabilistic participation of wind and electric vehicles

Authors
Neyestani, N; Soares, FJ; Iria, JP;

Publication
2017 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)

Abstract