| For a simple auction market model, this thesis presents an efficient and transparent approach for transaction security cost analysis to quantify the correlation between market operation and power system operation, which is an important and challenging issue in electricity markets.; Two different strategies, namely, rescheduling and take-risk, are proposed and discussed in detail based on adequate "System-wide" ATC (SATC) and transaction impact computations, considering thermal and voltage limits, as well as voltage stability criteria. The rescheduling technique is associated with an iterative generation redispatch and/or load curtailment procedure to minimize the amount of rescheduling; whereas the take-risk technique is based on the idea of taking a less conservative approach to consider operating risks to facilitate transactions. In this thesis, the SATC concept is proposed to accurately evaluate transmission congestion. The transactions' impact is computed using novel sensitivity formulas to find the most effective rescheduling direction, as well as for cost distribution. A novel pricing method, i.e. Nodal Congestion Price (NCP), is also proposed to generate proper price signals.; An Artificial Neural Network (ANN) based Short Term Load Forecasting (STLF) method considering the effect of price on the load is presented for a distributed computational scheme, to provide proper load prediction. To facilitate the access of all market participants to the proposed analysis and pricing techniques, a web-based prototype is implemented using a three-tier client/server architecture and up-to-date web technologies.; The results of several case studies on various test systems show the effectiveness and applicability of the proposed techniques, which would help Independent System Operators (ISOs) determine congestion prices, coordinate and manage transactions, and also help market participants make profitable market decisions. |
