Battery-Integrated Residential Energy Systems
暫譯: 電池整合住宅能源系統

《電池整合住宅能源系統》介紹了住宅系統的電池儲能系統（BESS），並提供了對其建模、管理和控制的深入見解。除了對不同BESS應用的調查外，還解釋了BESS的電化學模擬模型。內容包括性能參數、經濟分析、系統規模、能源管理、控制、充放電模式、儲能系統與家庭中其他設備的協調，以及與政策相關的事項。

特色：
- 涵蓋以電池為關鍵元素的智慧住宅能源系統的不同方面
- 討論通過最佳控制和管理BESS來提高住宅單位的能源效率
- 探索與BESS使用相關的政策資訊
- 包含有關BESS最佳能源管理實施的能源交易章節
- 專注於電池操作和控制的各種方面

本書適合電機工程、電池系統、能源工程以及可持續和再生技術的高年級本科生、研究生和研究人員。

Asmae Berrada is an associate professor of Energy in the school of EnergyEngineering at the international University of Rabat (UIR). She holds a PhD degree from the Faculty of Science USMBA. Her PhD work was prepared at Al Akhawayn University within the framework of the EUROSUNMED project (EU- H2020). She obtained a Master's degree in Sustainable Energy Management, and a Bachelor's degree in Engineering and Management Science from Al Akhawayn University. Dr. Berrada started her career as a part-time faculty member at Al Akhawayn University from 2014 to 2018.

She has been ranked among the World's Top 2% Scientists in the Stanford University and Elsevier ranking for 2023. She has also received several research awards and honors from IRESEN, MASEN, and USMBA.

She has led a number of research projects on renewable energy, hybrid energy systems, and energy storage systems such as SHPS, GESYS, and DARNASOL. She has published a variety of articles in leading international energy journals, and two books (Gravity Energy Storage and Hybrid Energy System Models). Her main research focus is on energy systems and their modeling. She has actively been working in the fields of energy storage and renewable energy.

Altaf Q. H. Badar is currently associated with the Electrical Engineering Department of National Institute of Technology Warangal, India. He completed his Bachelor's and Master's degrees at Rashtrasant Tukdoji Maharaj Nagpur University, India in 2001 and 2009, respectively. He pursued his PhD at Visvesvaraya National Institute of Technology, India and completed it in 2015. His PhD research dealt with reduction of active power losses by controlling the flow of reactive power in the transmission system through evolutionary optimization techniques. He also has a Diploma in Business Management completed in 2004 from ICFAI, India.

He has approximately 17 years of experience of teaching professional engineering courses and four years of field experience. His research interests include evolutionary optimization techniques, energy management, smart homes, and energy trading. He has published his research work in more than 30 international papers in journals and conferences.He was awarded a project under the RSM scheme of his parent institution on the topic of smart homes. He has also executed a project awarded under GIAN worth $12,000 on the topic of Advanced Energy Conversion and Storage Systems.

He has been a member of the board of studies of different institutions, including RTM Nagpur University, India. He has also chaired a number of international conferences and been a member of various technical committees. He was an editorial member of International Refereed Journal of Engineering Science and Technology and is currently an editorial member of American Journal of Electrical Power and Energy Systems and International Advanced Research Journal of Engineering and Technology. He has to his name a book on Evolutionary Optimization Algorithms and around five book chapters.

He has delivered his services as a reviewer for multiple international journals and conferences and for a book. He has delivered a large number of expert lectures in different engineering institutions across India. He has guided around 30 undergraduate and ten postgraduate projects. Currently, 40 research scholars are working under his guidance. He is a Senior Member of IEEE, Life Member of the Indian Society of Technical Education, and a member of IAENG. He understands seven different languages at various levels.

Mohammad Sanjari (PhD, FHEA) received his PhD in Electrical Engineering in 2013 from Amirkabir University of Technology (AUT), Tehran, Iran after successfully accomplishing the project "Control of Micro-grid using Distributed Object-Oriented Intelligent System with Partial Information" in which he investigated the partial information- based distributed control scheme of a microgrid to increase its reliability in different modes of operation, taking into account the problems of cyber systems.

He then joined the School of Electrical and Electronic Engineering, Nanyang Technological University (NTU), Singapore as a postdoctoral research fellow, where he worked on a project on increasing reliability and economic performance of the microgrid with funding of S$2.78M. After that, he joined the University of Auckland, New Zealand as a postdoctoral research fellow in the Electrical and Computer Engineering Department to work on developing a generalized framework to model cascading propagation in large- scale power grids, especially in low- carbon energy networks, with the help of graph theory and big data analytics to form a platform for studying the initiation, progression, and propagation of events in a largescale power system.

Since January 2019, he has been with the School of Engineering and Built Environment, Griffith University, Australia. From 2015 to 2017, alongside his research project in NTU, he worked with SembCorp Marine (SM), Singapore on the project "Long-Term and Short-Term Load Forecast in Highly Varying Demand Sectors", which resulted in a technical report, user manual, and commercial software used by the company for strategically operating shipyards located in Singapore, Indonesia, the United Kingdom, and Brazil. After that, he organized training sessions for SM's engineers to work effectively with the load forecast module to gain better insight into appropriate decision- making procedures for network operation. From 2017 to 2019, he was an active member of the Te Pūnaha Matatini (TPM), Whanau, an active trans- disciplinary community with a shared interest in complex systems and networks, comprising postgraduate students, postdocs, and early career researchers from all over New Zealand.

He is the author of more than 70 journal and conference papers. His h- index (Google Scholar metrics) is 24, showing impactful research studies in his areas of interest, which include applying artificial intelligence and data mining in power systems analysis, control, condition monitoring, and assessment. He has conducted research studies on decision making in power systems, considering network security and risk constraints by using machine learning methods and big data analysis techniques. He also has expertise in probabilistic analysis of smart multi-carrier energy systems, including hybrid load demands and renewable energy resources.

阿斯馬艾·貝拉達是拉巴特國際大學（UIR）能源工程學院的能源副教授。她擁有USMBA科學院的博士學位。她的博士研究是在阿卡哈溫大學進行的，屬於EUROSUNMED項目（EU-H2020）的一部分。她獲得了可持續能源管理碩士學位，以及阿卡哈溫大學的工程與管理科學學士學位。貝拉達博士於2014年至2018年期間擔任阿卡哈溫大學的兼職教員。

她在2023年被斯坦福大學和Elsevier的排名中列為全球前2%的科學家。她還獲得了來自IRESEN、MASEN和USMBA的多個研究獎項和榮譽。

她主導了多個關於可再生能源、混合能源系統和能源儲存系統的研究項目，如SHPS、GESYS和DARNASOL。她在國際知名的能源期刊上發表了多篇文章，並出版了兩本書籍（《重力能源儲存》和《混合能源系統模型》）。她的主要研究重點是能源系統及其建模。她積極從事能源儲存和可再生能源領域的工作。

阿爾塔夫·Q·H·巴達爾目前與印度國立技術學院瓦朗加爾的電氣工程系有關聯。他於2001年和2009年分別在印度拉什特拉桑特·圖克多吉·馬哈拉吉納格普爾大學完成了學士和碩士學位。他在印度維斯維薩拉亞國立技術學院攻讀博士學位，並於2015年完成。其博士研究涉及通過進化優化技術控制傳輸系統中的無功功率流來減少有功功率損失。他還於2004年在印度ICFAI獲得商業管理文憑。

他擁有約17年的專業工程課程教學經驗和四年的實地經驗。他的研究興趣包括進化優化技術、能源管理、智慧家庭和能源交易。他在30多篇國際期刊和會議上發表了研究成果。他在其母校的RSM計劃下獲得了一個關於智慧家庭的項目。他還執行了一個價值12,000美元的GIAN項目，主題為先進能源轉換和儲存系統。

他曾擔任不同機構的學術委員會成員，包括印度RTM納格浦大學。他還主持了多個國際會議，並擔任各種技術委員會的成員。他曾是《國際工程科學與技術期刊》的編輯成員，目前是《美國電力與能源系統期刊》和《國際先進工程與技術研究期刊》的編輯成員。他出版了一本關於《進化優化算法》的書籍，並撰寫了約五個書章。

他擔任多個國際期刊和會議的審稿人，並為一本書提供審稿服務。他在印度的不同工程機構進行了大量專家講座，並指導了約30個本科和10個研究生項目。目前，有40名研究學者在他的指導下工作。他是IEEE的高級會員、印度技術教育學會的終身會員，以及IAENG的成員。他能以不同程度理解七種不同的語言。

穆罕默德·桑賈里（博士，FHEA）於2013年在伊朗德黑蘭的阿米爾卡比爾科技大學（AUT）獲得電氣工程博士學位，成功完成了“使用部分信息的分佈式物件導向智能系統控制微電網”的項目，該項目研究了基於部分信息的微電網分佈式控制方案，以提高其在不同運行模式下的可靠性，並考慮了網絡系統的問題。

隨後，他加入新加坡南洋理工大學（NTU）電氣與電子工程學院，擔任博士後研究員，參與了一個提高微電網可靠性和經濟性能的項目，該項目獲得了278萬新加坡元的資金。之後，他加入新西蘭奧克蘭大學電氣與計算機工程系，擔任博士後研究員，致力於開發一個通用框架，以圖論和大數據分析為幫助，對大規模電力網絡中的級聯傳播進行建模，特別是在低碳能源網絡中，形成一個研究大規模電力系統中事件的發起、進展和傳播的平台。

自2019年1月以來，他一直在澳大利亞格里菲斯大學的工程與建築環境學院工作。在2015年至2017年期間，他在NTU的研究項目之外，與新加坡的SembCorp Marine（SM）合作，進行了一個關於“在需求高度變化的行業中進行長期和短期負載預測”的項目，該項目產生了一份技術報告、用戶手冊和商業軟件，供公司在新加坡、印尼、英國和巴西的造船廠進行戰略運營。之後，他為SM的工程師組織了培訓課程，以有效使用負載預測模塊，獲得對網絡運營適當決策程序的更好見解。在2017年至2019年期間，他是Te Pūnaha Matatini（TPM）的一名活躍成員，這是一個跨學科社區，成員包括來自新西蘭各地的研究生、博士後和早期職業研究人員，對複雜系統和網絡有共同的興趣。

他是70多篇期刊和會議論文的作者。他的h指數（Google Scholar指標）為24，顯示出他在其研究興趣領域的影響力研究，這些領域包括在電力系統分析、控制、狀態監測和評估中應用人工智能和數據挖掘。他進行了關於電力系統決策的研究，考慮了網絡安全和風險約束，使用機器學習方法和大數據分析技術。他還在智能多載能量系統的概率分析方面擁有專業知識，包括混合負載需求和可再生能源資源。