الفهرس 
AbstractOnly 14 pages are availabe for public view
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Abstract
The main objective of this research is to discuss and propose solutions to some of the issues and problems that arise in the restructured electric power system. This study focus on three major issues; the first one is the optima allocation of flexible AC transmission system (FACTS) devices to handling the voltage stability, congestion, and reduce the transmission lines losses. The second issue is the distribution of transmission lines losses between market participants in fair and satisfactory manner. The third issue is the optimal offering strategies for wind power producers. First, for optimal allocation of FACTS devices, an approach is propose to optimally allocate multiple types FACTS devices in market-based power systems with wind generation. The main objective is to maximize profit by minimizing device investment cost, and the system’s operating cost considering both normal conditions and possible contingencies. The overall problem is solve using both Particle Swarm Optimizations (PSO) for attaining optimal FACTS devices allocation as main problem and optimal power flow as sub optimization problem. Second, for transmission loss allocation, a new analytical method is propose for transmission loss allocation in hybrid energy market. It based on circuit laws and the orthogonal projection. Furthermore, the impact of bilateral/ multilateral contracts is included in the transmission network loss allocation algorithm. The contribution of each contract to the total transmission system power loss is estimate accurately. The method is extend to consider the time variation of loads and wind generation. Finally, due to the significantly grows of the penetration ratio of wind power producers (WPPs) in restructured power system, this research work proposes an optimal bidding strategy for WPPs. The WPP participates in the day-ahead market as a price-maker, and in the balancing market as a deviator. The objective of this strategy is maximizing the WPPs expected profit considering rival behavior and complete information. The optimal bidding strategies are develop mathematically using a bi-level optimization problem where the upper-level sub-problem maximizes WPP revenue and the lower level sub-problem solves the Independent System Operators (ISOs) market-clearing problem. Thesis objectives: 1- Propose an approach to optimally allocate multiple types FACTS devices in market-based power systems with wind generation. 2- Propose a new analytical method for transmission power loss allocation in hybrid market power systems considering load variation and wind generation. 3- Propose an optimal bidding strategy for wind power producers considering rival behavior and complete information.