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Distributed control and optimization...

Ding, Lei.

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Distributed control and optimization of networked microgrids = a multi-agent system based approach /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Distributed control and optimization of networked microgrids/ by Lei Ding, Qing-Long Han, Boda Ning.
Reminder of title:	a multi-agent system based approach /
Author:	Ding, Lei.
other author:	Han, Qing-Long.
Published:	Cham :Springer International Publishing : : 2022.,
Description:	xiii, 161 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1. Introduction -- Chapter 2. Network-Based Consensus of Multi-Agent Systems -- Chapter 3. Sampled-Data-Based Event-Triggered Consensus of Multi-Agent Systems -- Chapter 4. Distributed Event-triggered Secondary Control for Islanded Microgrids -- Chapter 5. Distributed Finite-Time Secondary Control for Islanded Microgrids -- Chapter 6. Distributed Resilient Finite-Time Secondary Control for Heterogeneous BESSs -- Chapter 7. Distributed Optimal Control of DC Microgrids with Communication Delays -- Chapter 8. ibuted Energy Management for Smart Grids -- Index.
Contained By:	Springer Nature eBook
Subject:	Microgrids (Smart power grids) - Automatic control. -
Online resource:	https://doi.org/10.1007/978-3-030-95029-3
ISBN:	9783030950293

Distributed control and optimization of networked microgrids = a multi-agent system based approach /
Ding, Lei.

Distributed control and optimization of networked microgridsa multi-agent system based approach /[electronic resource] :by Lei Ding, Qing-Long Han, Boda Ning. - Cham :Springer International Publishing :2022. - xiii, 161 p. :ill., digital ;24 cm. - Power systems,1860-4676. - Power systems..

Chapter 1. Introduction -- Chapter 2. Network-Based Consensus of Multi-Agent Systems -- Chapter 3. Sampled-Data-Based Event-Triggered Consensus of Multi-Agent Systems -- Chapter 4. Distributed Event-triggered Secondary Control for Islanded Microgrids -- Chapter 5. Distributed Finite-Time Secondary Control for Islanded Microgrids -- Chapter 6. Distributed Resilient Finite-Time Secondary Control for Heterogeneous BESSs -- Chapter 7. Distributed Optimal Control of DC Microgrids with Communication Delays -- Chapter 8. ibuted Energy Management for Smart Grids -- Index.

This book presents new techniques and methods for distributed control and optimization of networked microgrids. Distributed consensus issues under network-based and event-triggered mechanisms are first addressed in a multi-agent system framework, which can explicitly characterize the relationship between communication resources and the control performance. Then, considering the effects of network uncertainties, multi-agent system-based distributed schemes are tailored to solve the fundamental issues of networked microgrids such as distributed frequency regulation, voltage regulation, active power sharing/load sharing, and energy management. The monograph will contribute to stimulating extensive interest of researchers in electrical and control fields.

ISBN: 9783030950293

Standard No.: 10.1007/978-3-030-95029-3doiSubjects--Topical Terms:

3595531
Microgrids (Smart power grids)
--Automatic control.

LC Class. No.: TK3105 / .D55 2022

Dewey Class. No.: 621.319

Distributed control and optimization of networked microgrids = a multi-agent system based approach /
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505 0 $a Chapter 1. Introduction -- Chapter 2. Network-Based Consensus of Multi-Agent Systems -- Chapter 3. Sampled-Data-Based Event-Triggered Consensus of Multi-Agent Systems -- Chapter 4. Distributed Event-triggered Secondary Control for Islanded Microgrids -- Chapter 5. Distributed Finite-Time Secondary Control for Islanded Microgrids -- Chapter 6. Distributed Resilient Finite-Time Secondary Control for Heterogeneous BESSs -- Chapter 7. Distributed Optimal Control of DC Microgrids with Communication Delays -- Chapter 8. ibuted Energy Management for Smart Grids -- Index.
520 $a This book presents new techniques and methods for distributed control and optimization of networked microgrids. Distributed consensus issues under network-based and event-triggered mechanisms are first addressed in a multi-agent system framework, which can explicitly characterize the relationship between communication resources and the control performance. Then, considering the effects of network uncertainties, multi-agent system-based distributed schemes are tailored to solve the fundamental issues of networked microgrids such as distributed frequency regulation, voltage regulation, active power sharing/load sharing, and energy management. The monograph will contribute to stimulating extensive interest of researchers in electrical and control fields.
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