Title :
Security-constrained optimal generation scheduling in large-scale power systems
Author :
Martínez-Crespo, Jorge ; Usaola, Julio ; Fernández, José L.
Author_Institution :
Dept. of Electr. Eng., Univ. Carlos de Madrid, Spain
Abstract :
This paper presents an approach to determine the optimal daily generation scheduling based on the Spanish electricity market rules. The Spanish power system considers the pool-based daily market and the technical constraints resolution as two different and consecutive processes. After the daily market has been cleared, a centralized constraints resolution process is applied to this initial scheduling through the redispatch of previously matched energy. In this paper, an algorithm based on Benders decomposition, arranged in three levels, is proposed to solve the technical constraints solution process in order to define a preventive secure dispatch. The constraints resolution process includes a full ac network and security model. This method determines the active power committed to each generating unit so as to minimize the energy redispatch cost subject to dispatch, network, and security constraints. The solution also provides the reactive power output of the generating units, the value of the transformers taps, and the committed voltage control devices. The model has been tested in an actual example of the Spanish power system. Some relevant results are reported.
Keywords :
load dispatching; power generation scheduling; power markets; power system interconnection; power system security; Benders decomposition; Spanish electricity market rules; centralized constraint resolution process; cost minimization; energy redispatch; large-scale power systems; pool-based daily market; preventive security dispatch; security-constrained optimal generation scheduling; technical constraint resolution; Costs; Electricity supply industry; Energy resolution; Large-scale systems; Power generation; Power system modeling; Power system security; Reactive power control; Transformers; Voltage control; Benders decomposition; electricity markets; mixed-integer nonlinear optimization problem; power system dispatch; preventive security analysis;
Journal_Title :
Power Systems, IEEE Transactions on
DOI :
10.1109/TPWRS.2005.860942