الفهرس 
TABLE OF CONTENTSOnly 14 pages are availabe for public view
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Abstract
Thesis title ”Energy management in microgrids hybrid energy sources” This research study focuses on developing energy management systems in microgrids (MGs). The set of objectives of this research are : 1. Development of a stochastic energy management framework for the optimal day-ahead operation of a grid-connected MG with hybrid resources using a modified Bat algorithm (BA), to maximize MG profit while satisfying all operational constraints. 2. Development of a coordinated online energy management strategy based on a robust multi-agent control system (MACS) for real-time operation of a grid-connected MG while satisfying the power flow and system operational constraints. 3. Development of a simplified, fast, and accurate approach to solving the power flow analysis problem in isolated MGs with hybrid sources using an enhanced Newton-Raphson method. 4. Development of a stochastic energy management system for optimal scheduling of energy resources and management of loads in an isolated MG with hybrid sources using an improved BA. Structure and scope of work. The dissertation contains an introduction, 5 chapters, a conclusion, and two appendices. It is presented on 184 pages and includes 24 tables and 64 figures. Chapter 1 provides background information about the most common microgrid components, energy management systems and control architectures. Chapter 2 presents a stochastic energy management system for the optimal day-ahead operation of a grid-connected MG with hybrid resources using a modified BA, to maximize MG profit while satisfying all operational constraints. Chapter 3 presents an efficient online energy management strategy of a grid-connected MG with hybrid resources using a new MACS. Chapter 4 presents a new approach to solve the power flow problem in isolated MGs. A substantial modification to the well-established Newton-Raphson power flow algorithm is proposed to fit the isolated MGs. Chapter 5 presents a day-ahead probabilistic operation management system for optimal operation of the isolated MG, to minimize the total day-ahead operation cost of an isolated MG while satisfying all operational constraints.