Open AccessA novel agent‐based microgrid optimal control for grid‐connected, planned island and emergency island operations
Author(s) -
Selakov Aleksandar,
Bekut Duško,
Sarić Andrija T.
Publication year - 2016
Publication title -
international transactions on electrical energy systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.428
H-Index - 42
ISSN - 2050-7038
DOI - 10.1002/etep.2191
Subject(s) - microgrid , grid , computer science , control (management) , operations research , engineering , geography , artificial intelligence , geodesy
Summary This paper presents an analysis of three typical microgrid operation modes. First is the analysis of the grid‐connected mode , in which the main goal is to optimize the microgrid operation (in terms of economics, carbon emissions and/or reliability) when it is connected with the main grid. Second is the analysis of the planned island mode , in which the main goal is to provide a stable and smooth transition from grid‐connected to island mode while keeping both the frequency and the voltages within the required limits. Finally, the paper presents the analysis of the emergency island mode , which occurs after sudden islanding, in which the main goal is to maintain the energization of critical customers. The objectives and the operation strategies of microgrid management are different in each operation mode. This paper proposes a novel, centralized, multi‐agent‐based, microgrid controller architecture, which provides the coordination of all three operation modes and enables the easy configuration/combination of optimization goals that are subject to a given set of operational constraints. The microgrid controller consists of a real‐time agent (responsible for closed loop control and maintenance of the system's frequency), an operation planning agent [responsible for near‐term (15 minutes up to 24 hours) and short‐term (1 to 7 days) optimization] and a state agent (responsible for overall monitoring, management and coordination of the other two agents). A microgrid controller with the aforementioned agents has been developed and tested. The simulation results are presented for a typical microgrid test example. Copyright © 2016 John Wiley & Sons, Ltd.