Distributed Economic Operation in Smart Grid: Model-Based and Model-Free Perspectives (智慧電網中的分散經濟運作：基於模型與無模型的視角)

Qin, Jiahu, Wan, Yanni, Li, Fangyuan

Distributed Economic Operation in Smart Grid: Model-Based and Model-Free Perspectives
  • 出版商: Springer
  • 出版日期: 2024-01-27
  • 售價: $6,040
  • 貴賓價: 9.5 折 $5,738
  • 語言: 英文
  • 頁數: 237
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9811985960
  • ISBN-13: 9789811985966

    • 海外代購書籍(需單獨結帳)

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商品描述

This book aims to work out the distributed economic operation in smart grids in a systematic way, which ranges from model-based to model-free perspectives. The main contributions of this book can be summarized into three folds. First, we investigate the fundamental economic operation problems in smart grids from model-based perspective. Specifically, these problems can be modeled as deterministic optimization models, and we propose some distributed optimization algorithms by integrating the multi-agent consensus theory and optimization techniques to achieve the distributed coordination of various generation units and loads. Second, due to the randomness of the large-scale renewable energies and the flexibility of the loads, we further address these economic operation problems from a model-free perspective, and we propose learning-based approaches to address the uncertainty and randomness. At last, we extend the idea of model-based and model-free algorithms to plug-in electric vehicles(PEVs) charging/discharging scheduling problem, the key challenge of which involves multiple objectives simultaneously while the behavior of PEVs and the electricity price are intrinsically random. This book presents several recent theoretical findings on distributed economic operation in smart grids from model-based and model-free perspectives. By systematically integrating novel ideas, fresh insights, and rigorous results, this book provides a base for further theoretical research on distributed economic operation in smart grids. It can be a reference for graduates and researchers to study the operation and management in smart grids. Some prerequisites for reading this book include optimization theory, matrix theory, game theory, reinforcement learning, etc.

商品描述(中文翻譯)

本書旨在以系統化的方式探討智慧電網中的分散經濟運作，涵蓋從基於模型到無模型的觀點。本書的主要貢獻可總結為三個方面。首先，我們從基於模型的角度研究智慧電網中的基本經濟運作問題。具體而言，這些問題可以建模為確定性優化模型，我們通過整合多代理共識理論和優化技術，提出一些分散優化演算法，以實現各發電單元和負載的分散協調。其次，由於大規模可再生能源的隨機性和負載的靈活性，我們進一步從無模型的角度解決這些經濟運作問題，並提出基於學習的方法來應對不確定性和隨機性。最後，我們將基於模型和無模型演算法的理念擴展到插電式電動車（PEVs）的充電/放電排程問題，其主要挑戰在於同時涉及多個目標，而PEVs的行為和電價本質上是隨機的。本書呈現了幾個關於智慧電網中分散經濟運作的最新理論發現，涵蓋基於模型和無模型的觀點。通過系統性地整合新穎的想法、新的見解和嚴謹的結果，本書為智慧電網中分散經濟運作的進一步理論研究提供了基礎。它可以作為研究生和研究人員研究智慧電網運作和管理的參考資料。閱讀本書的一些先備知識包括優化理論、矩陣理論、博弈論、強化學習等。

作者簡介

Jiahu Qin (Senior Member, IEEE) received his first Ph.D. degree in control science and engineering from Harbin Institute of Technology in 2012, and the second Ph.D. degree in systems and control from The Australian National University, Australia, in 2014. He is currently a Professor at the Department of Automation, University of Science and Technology of China. His current research interests include autonomous intelligent systems, cyber-physical systems, and human-robot interaction.

Yanni Wan received the B.E. degree in automation from Ocean University of China, Qingdao, China, in 2016, and the Ph.D. degree in control science and engineering from University of Science and Technology of China, Hefei, China, in 2022. She is currently a Lecturer at the School of Physics and Electronic-Electrical Engineering, Ningxia University, Yinchuan, China. Her research interests include distributed energy management in smart grids and charging/discharging scheduling of EVs.

Fangyuan Li(Member, IEEE) received the B.E. degree in electrical engineering and its automation from Southwest Jiaotong University, Chengdu, China, in 2014, and the Ph.D. degree in control science and engineering from University of Science and Technology of China, Hefei, China, in 2019. He is currently an Associate Professor with the School of Electrical and Information Engineering, Zhengzhou University, Zhengzhou, China. His research interests include distributed optimization and control in multi-agent systems and distributed energy management in smart grids.

Yu Kang (Senior Member, IEEE) received the Ph.D. degree in control theory and control engineering from University of Science and Technology of China, Hefei, China, in 2005. He is currently a Professor with the Department of Automation and the Institute of Advanced Technology, University of Science and Technology of China. His current research interests include monitoring of vehicle emissions, adaptive/robust control, variable structure control, mobile manipulator, and Markovian jump systems.

Weiming Fu (Member, IEEE) received the B.E. degree in automation and the Ph.D. degree in control science and engineering from University of Science and Technology of China, Hefei, China, in 2014 and 2020, respectively. He is currently an Associate Professor with the Department of Automation, University of Science and Technology of China. His research interests include consensus in multi-agent systems and security in cyber-physical systems.

作者簡介(中文翻譯)

賈虎秦（IEEE 高級會員）於2012年在哈爾濱工業大學獲得控制科學與工程的第一個博士學位，並於2014年在澳大利亞國立大學獲得系統與控制的第二個博士學位。他目前是中國科學技術大學自動化系的教授。他目前的研究興趣包括自主智能系統、網路物理系統以及人機互動。

顏妮萬於2016年在中國海洋大學（青島）獲得自動化的工學學士學位，並於2022年在中國科學技術大學（合肥）獲得控制科學與工程的博士學位。她目前是寧夏大學物理與電子電氣工程學院的講師。她的研究興趣包括智慧電網中的分散式能源管理以及電動車的充放電排程。

李方圓（IEEE 會員）於2014年在西南交通大學（成都）獲得電氣工程及其自動化的工學學士學位，並於2019年在中國科學技術大學（合肥）獲得控制科學與工程的博士學位。他目前是鄭州大學電氣與信息工程學院的副教授。他的研究興趣包括多代理系統中的分散式優化與控制以及智慧電網中的分散式能源管理。

尤康（IEEE 高級會員）於2005年在中國科學技術大學（合肥）獲得控制理論與控制工程的博士學位。他目前是中國科學技術大學自動化系及先進技術研究所的教授。他目前的研究興趣包括車輛排放監測、自適應/魯棒控制、變結構控制、移動機器人以及馬可夫跳躍系統。

傅維明（IEEE 會員）於2014年在中國科學技術大學（合肥）獲得自動化的工學學士學位，並於2020年獲得控制科學與工程的博士學位。他目前是中國科學技術大學自動化系的副教授。他的研究興趣包括多代理系統中的共識以及網路物理系統中的安全性。

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