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ISSN (Print): 2352-0965
ISSN (Online): 2352-0973

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Research Article

Design of a Management Algorithm for Energy Trading in Microgrids

Author(s): Dimosthenis Verginadis and Athanasios Karlis*

Volume 13, Issue 7, 2020

Page: [1028 - 1040] Pages: 13

DOI: 10.2174/2213111607666200214121935

Price: $65

Abstract

Background: The scope of this paper is to study the energy trading in microgrids. Microgrids are low voltage or medium voltage distribution networks, which consist of energy storage systems, electric loads, e.g. electric vehicles and Renewable Energy Sources (RES).

Methods: Legacy energy grids are being transformed by the introduction of small to medium sized individual or cooperative, mostly RES invested energy producers and prosumers. Electric vehicles penetrate the market and modern power grids integrate them as ancillary services providers when there are peak domestic loads, as well as in order to balance grid voltage aiming to increase system reliability, compensating for renewable energy sources’ intermittency and volatility in energy production.

Results: An elaborate management algorithm is proposed in this paper, to balance demand and local renewable energy sources microgrid supply.

Conclusion: Finally, the results of simulations of different scenarios, including economic parameters and proposals for future research are presented.

Keywords: DC microgrid, energy trading, management algorithm, prosumers, photovoltaic-solar panels (PV), Electric Vehicles (EV)

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