| Summary: | Under the development of restructured electrical power industry, the competitive environment of
transacting electricity among all the market participants creates more and more challenges to
either suppliers or consumers. The goal of suppliers, who own the generating equipment, is to
maximize their total profits by selling the electricity. The targets of distributors and consumers
are to minimize their expense for purchasing the electricity. With the uncertainty of system
demand and electricity market price, it is even more difficult to achieve the objectives of both
suppliers and consumers.
This thesis presents an approach for short-term optimal hydro-generation scheduling considering
transmission system security constraints based on uncertain load and electricity market price.
The possible range of uncertain load is forecasted by fuzzy regression model, which was
developed by an earlier work in our research group. The market price database is obtained from
the analysis of Pennsylvania-New Jersey-Maryland (PJM) market price. The mixed integer nonlinear
unit commitment problem is solved by Lagrangian relaxation technique. Securityconstrained
economic dispatch is obtained by solving Lagrangian function with first gradient
method for the equality constraints. After the feasible solution is reached with all the equality
constraints satisfied, the heuristic search consisting of unit substitution and unit de-commitment
is used to adjust the solution to satisfy all the inequality constraints. The proposed approach
improves the final solution to be the best one achieving the global optimal solution. This
approach is tested on a numerical example based on BC Hydro 500 kV network configuration.
The results show this approach is applicable to optimize the system operation and gain the
maximum profits for power suppliers, while maintaining the system security and reliability. === Applied Science, Faculty of === Electrical and Computer Engineering, Department of === Graduate
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