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Distributed control and optimization...
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Ding, Lei.
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Distributed control and optimization of networked microgrids = a multi-agent system based approach /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Distributed control and optimization of networked microgrids/ by Lei Ding, Qing-Long Han, Boda Ning.
其他題名:
a multi-agent system based approach /
作者:
Ding, Lei.
其他作者:
Han, Qing-Long.
出版者:
Cham :Springer International Publishing : : 2022.,
面頁冊數:
xiii, 161 p. :ill., digital ;24 cm.
內容註:
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
標題:
Microgrids (Smart power grids) - Automatic control. -
電子資源:
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 microgrids
a 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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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.
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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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