DocumentCode
2986847
Title
Energy delivery capacity and generation scheduling in the deregulated electric power market
Author
Guan, Xiaohong ; Gao, Feng ; Svoboda, Alva
Author_Institution
Syst. Eng. Inst., Xian Jiaotong Univ., China
fYear
1999
fDate
36342
Firstpage
25
Lastpage
30
Abstract
The generation schedules obtained in traditional hydrothermal scheduling or unit commitment programs are in hourly generation levels. In the new deregulated power market, the power transactions are processed in terms of hourly energy delivery. Failing to fulfil scheduled energy delivery may result in a penalty to power producers. This paper shows that although ramp-rate constraints are satisfied in hydrothermal scheduling, taking a generation level schedule as an energy delivery schedule may not be realizable. Based on the maximum principle in optimal control theory, the energy delivery capacity across the scheduling horizon is established as a set of recursive equations with given ramp-rate constraints. A sufficient and necessary condition is obtained to check if an energy delivery schedule is realizable. Based on this condition, two cases, where ramp-rate constraints are both satisfied, are analyzed and an unrealizable energy delivery schedule is observed
Keywords
electricity supply industry; hydrothermal power systems; maximum principle; power generation scheduling; deregulated electric power market; electric energy bidding; energy delivery capacity; energy delivery schedule; generation scheduling; hourly energy delivery; hourly generation levels; maximum principle; optimal control theory; power generation scheduling; power transactions processing; ramp-rate constraints; recursive equations; scheduling horizon; traditional hydrothermal scheduling; unit commitment programs; Constraint theory; Equations; Industrial control; Job shop scheduling; Optimal control; Power engineering and energy; Power generation; Power markets; Real time systems; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Power Industry Computer Applications, 1999. PICA '99. Proceedings of the 21st 1999 IEEE International Conference
Conference_Location
Santa Clara, CA
Print_ISBN
0-7803-5478-8
Type
conf
DOI
10.1109/PICA.1999.779381
Filename
779381
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