DocumentCode
907834
Title
Optimization-based sale transactions and hydrothermal scheduling
Author
Prasannan, Balakumar ; Luh, Peter B. ; Yan, Houzhong ; Palmberg, James A. ; Zhang, Lan
Author_Institution
Dept. of Electr. & Syst. Eng., Connecticut Univ., Storrs, CT, USA
Volume
11
Issue
2
fYear
1996
fDate
5/1/1996 12:00:00 AM
Firstpage
654
Lastpage
660
Abstract
Selling and purchasing power are important activities for electric utilities because of potential savings. When a selling utility presents an offer including prices, power levels and durations, a purchasing utility selects power levels and durations within the offered range subject to relevant constraints. The decision making process is complicated because transactions are coupled with system demand and reserve, therefore decisions have to be made in conjunction with the commitment and dispatching of units. Furthermore, transaction decisions have to be made in almost real time in view of the competitiveness of the power market caused by deregulation. In this paper, transactions are analyzed from a selling utility´s viewpoint for a system consisting of thermal, hydro and pumped-storage units. To effectively solve the problem, linear sale revenues are approximated by nonlinear functions, and nonprofitable options are identified and eliminated from consideration. The multipliers are then updated at the high level by using a modified subgradient method to obtain near optimal solutions quickly. Testing results show that the algorithm produces good sale offers efficiently
Keywords
approximation theory; economics; hydroelectric power stations; hydrothermal power systems; optimisation; power system planning; scheduling; tariffs; thermal power stations; algorithm; decision making process; electric utilities; hydrothermal power generation scheduling; linear sale revenues approximation; modified subgradient method; nonlinear functions; nonprofitable options; optimization-based sale transactions; power duration; power levels; prices; Character generation; Cities and towns; Computer applications; Costs; Decision making; Dispatching; Job shop scheduling; Marketing and sales; Power industry; Power markets; Processor scheduling; Testing; Time varying systems;
fLanguage
English
Journal_Title
Power Systems, IEEE Transactions on
Publisher
ieee
ISSN
0885-8950
Type
jour
DOI
10.1109/59.496135
Filename
496135
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