Abstract:
Nowadays, Power system structures around the world are changed a vertically integrated system, where consumers can only buy electricity from a utility, to a more open market system, where consumers can choose their supplier. Under these new structures, there are three main types of markets structures, i.e. pool-based model, bilateral-contract-based models and hybrid model.
Generally, a huge power system may have high risk of equipment failure leading to congestion problems. These problems may cause serious blackout unless proper load shedding scheme is performed in time. The proper load shedding schemes vary depending on the power market structures. This thesis proposes a transmission congestion management by load shedding scheme altogether with adjustment of voltage at generator and adjustment of the transformers tap in the bilateral contract market. In this thesis, the linearization technique to transform the nonlinear optimization model to an approximated linearized model is used. With the approximated linear optimization model, it can solve the problem under contingency condition with faster speed while retaining acceptable accuracy; therefore it is suitable to be used in practice. This proposed method has been tested with IEEE RTS-79 system. Satisfactory results were obtained.