Nowadays, power systems are interconnected together to provide a reliable and secure source of the energy to the consumers and operate in lower operating cost than if they being run separately. As the most important reason for interconnecting power systems is to improve the economic aspects in operation of the entire system, this interconnection between power systems would provide the following economic advantages: 1) lower overall congestion costs for consumers; 2) more consistent prices across the areas; and 3) lower operating cost due to presence of broader pool of mutual benefits shared between systems. In addition, in the event of an emergency in any individual system, such as a shortage of generation capacity and a network outage, an interconnected power system can utilize all available power generation resources and delivery facilities throughout the entire grid to adjust the transferring power among systems, thus guaranteeing a continuous power supply to customers in their regions and achieving a high-level power system reliability. Also, in the event of transmission line congestion, the interconnected power systems can work closely together to remove the congestion from the entire power grid. The main motivation of this dissertation is to provide methodologies which enable different regional/virtual system operators to efficiently schedule their regional generation resources and optimally coordinate their operations with other neighboring areas while the respecting the information privacy between individual systems. Our proposed methodologies rely on decentralized solution philosophies. Using these methods, the original large-scale problem can be divided into several scalable and tractable subproblems that can be coordinated with each other to find out the optimal operating point of the entire system using either sequential or parallel calculation. Furthermore, by providing the flexibility to define the boarder of the areas, the decentralized solution methodologies can be also utilized to accelerate the solution process of the decision making in a large-scale power system where enormous number of variables should be accommodated into the problem formulation
| Identifer | oai:union.ndltd.org:MSSTATE/oai:scholarsjunction.msstate.edu:td-3423 |
| Date | 08 December 2017 |
| Creators | Khanabadi Ghehi, Mojtaba |
| Publisher | Scholars Junction |
| Source Sets | Mississippi State University |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Theses and Dissertations |
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