Distributed Control and Optimization Technologies in Smart Grid Systems [Hardcover]

The book aims to equalize the theoretical involvement with industrial practicality and build a bridge between academia and industry by reducing the mathematical difficulties. It provides an overview of distributed control and distributed optimization theory, followed by specific details on industrial applications to smart grid systems, with a special focus on micro grid systems. Each of the chapters is written and organized with an introductory section tailored to provide the essential background of the theories required. The text includes industrial applications to realistic renewable energy systems problems and illustrates the application of proposed toolsets to control and optimization of smart grid systems.

Preface. Introduction. Preliminaries. Distributed Voltage and Frequency Restoration Control. Distributed Voltage Unbalance Compensation. Distributed Single-Area Economic Dispatch. Distributed Multi-Area Economic Dispatch. Hierarchical Decentralized Architecture for ED Problem. Distributed Optimal Energy Scheduling. Conclusion and Future Works. Index.

The book aims to equalize the theoretical involvement with industrial practicality by reducing the mathematical difficulties. It provides an overview of distributed control and distributed optimization theory, followed by specific details on industrial applications to smart grid systems, with a special focus on micro grid systems.

Fanghong Guo received his B. Eng. degree in Automation Science from Southeast University, Nanjing, China in July 2010, M. Eng. degree in Automation Science & Electrical Engineering from Beihang University, Beijing, China in January 2013, and Ph.D. degree in Sustainable Earth from Energy Research Institute @NTU, Interdisciplinary Graduate School, Nanyang Technological University, Singapore in November 2016. He is currently a Scientist in the Experimental Power Grid Center (EPGC), ló(