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ThinkMind // ENERGY 2016, The Sixth International Conference on Smart Grids, Green Communications and IT Energy-aware Technologies // View article energy_2016_2_10_30015


Aggregators Efficiency in Distributed Power Networks

Authors:
Alain Tcheukam Siwe
Hamidou Tembine

Keywords: distributed power networks, prosumers, aggregators, optimization, reinforcement learning.

Abstract:
Fully distributed smart power grids approaches are increasing in the energy sector. A prosumer (producer-consumer) is a user that not only consumes electricity, but can also produce and store electricity. This paper focuses on power market models in which prosumers interact in a distributed environment during the purchase or sale of electric power. In this paper, we propose an hierarchical distributed model, which is based on reinforcement learning and optimization. Different types of prosumer are able to intelligently buy energy from, or sell it to, the power market. Our simulation results show that the integration of the aggregator in the power grid help to reduce the peak energy consumption and to lower the electricity cost for the population of prosumers

Pages: 21 to 26

Copyright: Copyright (c) IARIA, 2016

Publication date: June 26, 2016

Published in: conference

ISSN: 2308-412X

ISBN: 978-1-61208-484-8

Location: Lisbon, Portugal

Dates: from June 26, 2016 to June 30, 2016

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