Novel Hybrid Design for Microgrid Control
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Date
2017
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE Computer Society
Open Access Color
Green Open Access
Yes
OpenAIRE Downloads
17
OpenAIRE Views
3
Publicly Funded
No
Abstract
This paper proposes a new hybrid control system for an AC microgrid. The system uses both centralised and decentralised strategies to optimize the microgrid energy control while addressing the challenges introduced by current technologies and applied systems in real microgrid infrastructures. The well-known 3-level control (tertiary, secondary, primary) is employed with an enhanced hierarchical design using intelligent agent-based components in order to improve efficiency, diversity, modularity, and scalability. The main contribution of this paper is dual. During normal operation, the microgrid central controller (MGCC) is designed to undertake the management of the microgrid, while providing the local agents with the appropriate constraints for optimal power flow. During MGCC fault, a peer-to-peer communication is enabled between neighbouring agents in order to make their optimal decision locally. The initial design of the control structure and the detailed analysis of the different operating scenarios along with their requirements have shown the applicability of the new system in real microgrid environments. © 2023 Elsevier B.V., All rights reserved.
Description
Onen, Ahmet/0000-0001-7086-5112;
ORCID
Keywords
Centralized Control, Decentralized Control, Hybrid Intelligent Systems, Microgrids, Multi-Agent Systems, Decentralized Control, Electric Load Flow, Intelligent Agents, Intelligent Systems, Centralised, Centralized Control, Decentralised, Decentralised Control, Hybrid Control Systems, Hybrid Design, Hybrid Intelligent System, Microgrid, Microgrid Control, System Use, Multi Agent Systems, Smart Grid Applications, Renewable energy, Artificial intelligence, Microgrid, Control (management), Database, Engineering, Microgrid Control, FOS: Electrical engineering, electronic engineering, information engineering, Genetics, Computer Engineering, Demand Response in Smart Grids, Electrical and Electronic Engineering, Microgrids, Biology, Control engineering, Dual (grammatical number), Controller (irrigation), Scalability, Decentralized Control, Computer science, Distributed computing, Agronomy, Integration of Distributed Generation in Power Systems, Load Control, Control and Systems Engineering, Literature, Electrical engineering, FOS: Biological sciences, Physical Sciences, Control and Synchronization in Microgrid Systems, Distributed generation, Modularity (biology), Art
Turkish CoHE Thesis Center URL
Fields of Science
02 engineering and technology, 0202 electrical engineering, electronic engineering, information engineering
Citation
WoS Q
N/A
Scopus Q
N/A

OpenCitations Citation Count
11
Source
Asia-Pacific Power and Energy Engineering Conference, APPEEC -- 2017 IEEE PES Asia-Pacific Power and Energy Engineering Conference, APPEEC 2017 -- Bangalore -- 135170
Volume
2017-November
Issue
Start Page
1
End Page
6
PlumX Metrics
Citations
CrossRef : 1
Scopus : 17
Captures
Mendeley Readers : 29
SCOPUS™ Citations
17
checked on Feb 03, 2026
Web of Science™ Citations
5
checked on Feb 03, 2026
Page Views
4
checked on Feb 03, 2026
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