Study On Modeling And Solution Method For Transmission Expansion Planning In Electric Power Market

This thesis concentrates on the transmission expansion planning modeling and its solution method. It covers the following major contents: the heuristic transmission planning method considering congestion management under different power market modes, single-objective static transmission planning method, single-objective dynamic transmission planning method, multi-objective static transmission planning method and multi-objective dynamic transmission planning method. After overview of transmission planning modeling and solution methods in Chapter 1, the heuristic planning method considering the optimal congestion management is proposed in Chapter 2. POOL is taken as the basic background. Fuzzy congestion management models are built for the single-buyer and bi-auction transaction modes respectively. Then sensitivity indexes are defined to trade off between the economic investment and relief of network congestion. Chapter 3 introduces the ordinal optimization theory to solve the single-objective static transmission expansion planning. The model considering the benefit of market participants is built. Ordinal optimization is used to slove it. The ordinal optimization can guarantee to get good enough planning schemes with high probability. And at the same time, it can also quantify the goodness of the final solution. Then in Chapter 4, multi-objective static transmission planning method is investigated. Three sub-objectives considering the benefit of producers, transmission owners and customers are used to set up the multi-objective planning model. Vector ordinal optimization is introduced to solve it. It can also guarantee to get the good enough non-inferior solutions with high probability, and quatify the goodness of the final solutions. In Chapter 5, dynamic transmission planning is investigated. The single-objective dynamic transmission planning model and multi-objective dynamic transmission planning model are both built, based on Chapter 3 and Chapter 4. The ordinal optimization and vector ordinal optimization are both extended to solve them respectively. Then Chapter 6 introduces the framework of TEAM (Transmission Economic Assessment Methodology) proposed by California ISO. Taking the framework of TEAM as practical background, an improved method is developed to make quick and accurate evaluation to the TEAM indexes. These indexes are then used as sub-objectives to multi-objective transmission expansion planning. Vector ordinal optimization provides the global non-inferior solution. Finally, Chapter 7 draws conclusion for the whole thesis. And future work in the field of transmission planning under electric power market is presented.