DocumentCode :
29879
Title :
Hourly Demand Response in Day-Ahead Scheduling Considering Generating Unit Ramping Cost
Author :
Hongyu Wu ; Shahidehpour, Mohammad ; Khodayar, Mohammad E.
Author_Institution :
Electr. & Comput. Eng. Dept., Illinois Inst. of Technol., Chicago, IL, USA
Volume :
28
Issue :
3
fYear :
2013
fDate :
Aug. 2013
Firstpage :
2446
Lastpage :
2454
Abstract :
This paper proposes a day-ahead scheduling model in which the hourly demand response (DR) is considered to reduce the system operation cost and incremental changes in generation dispatch when the ramping cost of thermal generating units is considered as penalty in day-ahead scheduling problem. The power output trajectory of a thermal generating unit is modeled as a piecewise linear function. The day-ahead scheduling is formulated as a mixed-integer quadratically constrained programming (MIQCP) problem with quadratic energy balance constraint, ramping cost, and DR constraints. A Lagrangian relaxation (LR) based method is applied to solve this problem. Numerical tests are conducted on a 6-bus system and the modified IEEE 118-bus system. The results demonstrate the merits of the proposed scheduling model as well as the impact of introducing ramping costs as penalty and DR as incentives in the day-ahead scheduling of power systems.
Keywords :
constraint handling; demand side management; integer programming; piecewise linear techniques; power engineering computing; power generation dispatch; power generation scheduling; quadratic programming; relaxation theory; LR based method; Lagrangian relaxation; MIQCP problem; day-ahead scheduling model; generation dispatch; hourly demand response; mixed-integer quadratically constrained programming; piecewise linear function; power output trajectory; quadratic energy balance constraint; ramping cost; system operation cost; thermal generating unit; Generators; ISO; Indexes; Load management; Numerical models; Scheduling; Trajectory; Demand response; Lagrangian relaxation; generating unit ramping cost; mixed-integer linear programming; security constrained unit commitment;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2013.2254728
Filename :
6506120
Link To Document :
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