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Image of Cooperative Optimal Control of Hybrid Energy Systems

Electronic Resource

Cooperative Optimal Control of Hybrid Energy Systems

Yue, Dong - Personal Name; Zhang, Huifeng - Personal Name; Dou, Chunxia - Personal Name;

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This book mainly investigates the cooperative optimal control of hybrid energy system, it presents security control, multi-objective optimization, distributed optimization and distributed control approaches for tackling with security, economic and stability problem of the hybrid energy system.

It aims to solve some challenging problems including security issue, economic cost or benefits from both power generation side and load demand side, and coordination among different power generators.


The methods proposed in this book is novel and attractive, it consists of the hierarchical optimal control strategy for the security issue, multi-objective optimization for both economic and emission issue, and distributed optimal control for coordination among power generators.


Readers can learn novel methods or technique for tackling with the security issue, multiple-objective problem, and distributed coordination problem. It also may inspire readers to improve some drawbacks of existing alternatives.


Some fundamental knowledge prepared to read this book includes basic principles of the multi-agents system, robust optimization, Pareto-dominance optimization, and background of electrical engineering and renewable energy.


Availability
Inventory Code Barcode Call Number Location Status
1908000395EB0000869621.312 1 Yue cCentral Library (OPAC)Available
Detail Information
Series Title
-
Call Number
621.312 1 Yue c
Publisher
Singapore : Springer Singapore., 2021
Collation
xvi, 372p.:Ill
Language
English
ISBN/ISSN
978-981-33-6722-7
Classification
621.312 1
Content Type
Ebook
Media Type
-
Carrier Type
online resource
Edition
-
Subject(s)
Renewable energy sources
Specific Detail Info
-
Statement of Responsibility
BRF
Other version/related

No other version available

File Attachment
  • Cooperative Optimal Control of Hybrid Energy Systems
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