Cookies Policy
We use cookies to improve our site and your experience. By continuing to browse our site you accept our cookie policy. Find out More
Close
  • Menu
About
Interest
Topics
Details

Details

  • Name

    José Pedro Iria
  • Cluster

    Power and Energy
  • Role

    Research Assistant
  • Since

    10th February 2011
003
Publications

2019

Optimal bidding strategy for an aggregator of prosumers in energy and secondary reserve markets

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

Publication
Applied Energy

Abstract

2019

A cluster-based optimization approach to support the participation of an aggregator of a larger number of prosumers in the day-ahead energy market

Authors
Iria, J; Soares, F;

Publication
Electric Power Systems Research

Abstract

2019

Optimal sizing and placement of energy storage systems and on-load tap changer transformers in distribution networks

Authors
Iria, J; Heleno, M; Candoso, G;

Publication
Applied Energy

Abstract

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

2018

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.