Grid Optimal Integration of Electric Vehicles: Examples with Matlab Implementation (Studies in Systems, Decision and Control)
暫譯: 電動車的最佳整合:以 Matlab 實作的範例 (系統、決策與控制研究)
Andrés Ovalle, Ahmad Hably, Seddik Bacha
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商品描述
This book is a compilation of recent research on distributed optimization algorithms for the integral load management of plug-in electric vehicle (PEV) fleets and their potential services to the electricity system. It also includes detailed developed Matlab scripts. These algorithms can be implemented and extended to diverse applications where energy management is required (smart buildings, railways systems, task sharing in micro-grids, etc.). The proposed methodologies optimally manage PEV fleets’ charge and discharge schedules by applying classical optimization, game theory, and evolutionary game theory techniques. Taking owner’s requirements into consideration, these approaches provide services like load shifting, load balancing among phases of the system, reactive power supply, and task sharing among PEVs. The book is intended for use in graduate optimization and energy management courses, and readers are encouraged to test and adapt the scripts to their specific applications.
商品描述(中文翻譯)
本書匯編了有關插電式電動車(PEV)車隊的整體負載管理的分散式優化演算法的最新研究,以及它們對電力系統的潛在服務。書中還包含了詳細開發的 Matlab 腳本。這些演算法可以應用於需要能源管理的各種應用場景(如智慧建築、鐵路系統、微電網中的任務共享等),並可進行擴展。所提出的方法論通過應用經典優化、博弈論和進化博弈論技術,最佳化管理 PEV 車隊的充電和放電時間表。考慮到車主的需求,這些方法提供了負載轉移、系統相位間的負載平衡、無功功率供應以及 PEV 之間的任務共享等服務。本書旨在用於研究生的優化和能源管理課程,並鼓勵讀者測試和調整這些腳本以適應他們的特定應用。