NDLI: Agent-based distributed and economic automatic generation control for droop-controlled AC microgrids

Content Provider	IET Digital Library
Author	Li, Zhongwen Zang, Chuanzhi Zeng, Peng Yu, Haibin Li, Shuhui
Abstract	Microgrids (MGs) are presented as a cornerstone of smart grid, which can integrate renewable energy sources environmentally, friendly, and reliably. Hierarchical control strategies, i.e. primary droop control, second automatic generation control (AGC), and tertiary economic dispatch (ED), are widely used to control and optimise an MG. However, the gap between large time-scale ED and small time-scale AGC may decrease the economical efficiency of an MG. To address this problem, this study proposes a distributed economic AGC (EAGC) algorithm. The algorithm is fully distributed, as each distributed generator is assigned with an agent and the agents only require the local measurements and communication with its neighbours. Compared with centralised algorithms, the distributed control algorithm is easy to fulfil the plug-and-play requirements and reduces costs to modify the architecture of an MG. Furthermore, the proposed EAGC algorithm is suitable for all possible operation modes of an MG, i.e. islanded mode, grid-connected mode, and transition mode. To improve the robustness against agent loss or communication link fault, the topology of agents’ communication network is designed to satisfy the N − 1 rule. The effectiveness of the proposed algorithm is demonstrated through the simulation tests which involve plenty of case studies.
Starting Page	3622
Ending Page	3630
Page Count	9
ISSN	17518687
Volume Number	10
e-ISSN	17518695
Issue Number	Issue 14, Nov (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/10/14
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2016.0418
Journal	IET Generation, Transmission & Distribution
Publisher Date	2016-11-04
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Agent Loss Robustness Agent-based Distributed Generation Control Centralised Algorithm Communication Link Fault Control of Electric Power System Cost Reduction Distributed Control Distributed Economic Automatic Generation Control Distributed Power Generation Droop-controlled AC Microgrid EAGC Algorithm Grid-connected Mode Islanded Mode N-1 Rule Plug-and-play Requirement Power Generation Control Power Generation Economics Power Generation Fault Power System Economics Power System Managemen Power System Operation Primary Droop Control Renewable Energy Source Second Automatic Generation Control Smart Grid Smart Power Grid Tertiary Economic Dispatch Transition Mode
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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