Smart Power Distribution Network: Situation Awareness, Planning, and Operation (智慧電力分配網路：情境感知、規劃與運作)

Ge, Leijiao, Li, Yuanzheng

Smart Power Distribution Network: Situation Awareness, Planning, and Operation
  • 出版商: Springer
  • 出版日期: 2024-10-09
  • 售價: $4,700
  • 貴賓價: 9.5 折 $4,465
  • 語言: 英文
  • 頁數: 234
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 9819967600
  • ISBN-13: 9789819967605

    • 海外代購書籍(需單獨結帳)

相關主題

商品描述

The surge in renewable and distributed energy sources has posed significant challenges for smart power distribution network (SPDN). These challenges fall into two main categories: the unpredictability of renewable energy sources and the complexities introduced by numerous electrical devices and their interdependencies, affecting forecasting and operational performance. As the emphasis on SPDN's economic and environmental aspects grows, this book focuses on the vital themes of sustainability and cost-efficiency in SPDN forecasting, planning, and operation. It is structured into three key parts:

1. SPDN Situation Awareness: This section assesses prior research methods, analyzes their shortcomings while dissecting SPDN's unique situation awareness characteristics. Then, some forecast and virtual collection methods are presented.

2. Boosting SPDN Planning: Addressing optimal planning challenges in SPDN, this part introduces advanced modelling and algorithm solvingtechniques, tailored to mitigate SPDN's inherent uncertainty.

3. Enhancing SPDN Operation: Considering a variety of equipment types and controllable loads, this section explores strategies to boost SPDN operational performance. It covers control methodologies for electric vehicles, flexible loads, energy storage, and related equipments, etc.

Tailored for university researchers, engineers, and graduate students in electrical engineering and computer science, this book is a valuable resource for comprehending SPDN's situation awareness, planning, and operation intricacies in the context of sustainability and economic efficiency.

商品描述(中文翻譯)

可再生能源和分散式能源的激增對智慧電力分配網路（SPDN）帶來了重大挑戰。這些挑戰主要分為兩個類別：可再生能源來源的不可預測性以及眾多電氣設備及其相互依賴性所帶來的複雜性，這些因素影響了預測和運營性能。隨著對SPDN經濟和環境方面的重視日益增加，本書專注於SPDN預測、規劃和運營中的可持續性和成本效益這兩個重要主題。全書分為三個主要部分：

1. SPDN情境感知：本部分評估先前的研究方法，分析其不足之處，同時剖析SPDN獨特的情境感知特徵。接著，介紹一些預測和虛擬收集方法。

2. 提升SPDN規劃：針對SPDN的最佳規劃挑戰，本部分介紹先進的建模和算法解決技術，旨在減輕SPDN固有的不確定性。

3. 增強SPDN運營：考慮到各種設備類型和可控負載，本部分探討提升SPDN運營性能的策略。內容涵蓋電動車、靈活負載、能源儲存及相關設備的控制方法等。

本書專為電機工程和計算機科學的大學研究人員、工程師及研究生而設，是理解SPDN在可持續性和經濟效率背景下的情境感知、規劃和運營複雜性的寶貴資源。

作者簡介

Dr. Leijiao Ge received the Bachelor's degree in electrical engineering and its automation from Beihua University, China, in 2006, the Master's degree in electrical engineering from Hebei University of Technology, China, in 2009, and Ph.D. degree in electrical engineering from Tianjin University, Tianjin, China, in 2016. He is currently an associate professor in the school of electrical and information engineering at Tianjin University. His main research interests are situational awareness of smart power distribution networks, optimal control of new energy, cloud computing, and big data.

Dr. Yuanzheng Li is currently an associate professor in the school of artificial intelligence and automation at Huazhong University of Science and Technology. His main research fields are artificial intelligence and its application in smart grid, deep learning, reinforcement learning, big data analysis, operation research optimization, etc. He has investigated 2 projects of the National Natural Science Foundation of China, 2 Science and Technology projects of the State Grid of China Corporation, and participated in the National Key Basic Research and Development Plan (973 Plan). Among them, the research results were selected as excellent achievements of the State Key Laboratory of Renewable Energy Power System and research innovation points of the 973 program. He has published more than 50 journal papers, including more than 40 IEEE Transactions. Currently, he is the associate editor of IEEE Transactions on Intelligent Vehicles and the editorial board of IET Renewable Power Generation.

作者簡介(中文翻譯)

李焦博士於2006年在中國北華大學獲得電氣工程及其自動化的學士學位，於2009年在河北工業大學獲得電氣工程的碩士學位，並於2016年在中國天津大學獲得電氣工程的博士學位。他目前是天津大學電氣與信息工程學院的副教授。他的主要研究興趣包括智能電力配電網的情境感知、新能源的最佳控制、雲計算和大數據。

李元政博士目前是華中科技大學人工智慧與自動化學院的副教授。他的主要研究領域包括人工智慧及其在智能電網中的應用、深度學習、強化學習、大數據分析、運籌學優化等。他曾研究過2個中國國家自然科學基金項目、2個中國國家電網公司的科技項目，並參與了國家重點基礎研究發展計畫（973計畫）。其中，研究成果被選為國家可再生能源電力系統重點實驗室的優秀成果及973計畫的研究創新點。他已發表超過50篇期刊論文，其中超過40篇為IEEE Transactions的論文。目前，他是IEEE Transactions on Intelligent Vehicles的副編輯及IET Renewable Power Generation的編輯委員會成員。

類似商品