Open AccessGame‐theoretic dispatch control in microgrids considering network losses and renewable distributed energy resources integration
Author(s) -
MojicaNava Eduardo,
Rivera Sergio,
Quijano Nicanor
Publication year - 2017
Publication title -
iet generation, transmission and distribution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 110
eISSN - 1751-8695
pISSN - 1751-8687
DOI - 10.1049/iet-gtd.2016.1486
Subject(s) - microgrid , economic dispatch , distributed generation , computer science , mathematical optimization , renewable energy , distributed algorithm , heuristic , distributed computing , wind power , network topology , electric power system , control (management) , power (physics) , engineering , mathematics , computer network , physics , quantum mechanics , artificial intelligence , electrical engineering
A distributed population games algorithm is proposed to solve the dispatch problem in microgrids to respond dynamically to the requirements of the system. This study extends the distributed replicator dynamics (RD) algorithm, it has four main contributions. First, the authors apply the distributed RD to a distributed generator dispatch over a communication topology in a microgrid test system. Second, they consider power losses of the networked microgrid on the distributed RD. Third, they propose an algorithm to estimate robust loss coefficients of the network considering different demand patterns through a combination of two heuristic optimisation algorithms. Finally, the uncertainties of wind power are considered as a renewable generation integration case. The simulation results show that the proposed distributed control algorithm of a microgrid is able to integrate the economic dispatch problem with frequency control considering the entire network topology.