DocumentCode :
2557819
Title :
Optimal peak shaving capacity and control for a known load curve: application to irrigated agriculture
Author :
Berg, Jordan M. ; Malouf, Josh ; Johnson, Phillip N.
Author_Institution :
Dept. of Mech. Eng., Texas Tech. Univ., Lubbock, TX, USA
Volume :
4
fYear :
2000
fDate :
2000
Firstpage :
2897
Abstract :
Efficiency at low flow rates, and ease of use, make electric pumps the preferred means of providing irrigation water in regions with weakening aquifers. In predominantly agricultural areas with large numbers of irrigators the resulting summer demand peak may be two or more times higher than the average yearly load. Meeting these peaks is expensive for the rural electric cooperatives that serve these areas. This paper considers the optimal control of small, distributed, generator sets in order to reduce these operating costs. Once the optimal control is established, methods are provided to determine how many of these units to purchase or lease. Because the rate structure-and hence the optimal control-is discontinuous, care is taken to show continuity and convexity of the cost function. An example is given using averaged load curve data for a cooperative in the Texas High Plains. The major simplifying assumption is that the load curve is known. This is appropriate for planning purposes, but extensions will be necessary for operations
Keywords :
agriculture; optimal control; power generation control; pumps; water supply; Texas High Plains; averaged load curve data; cost function continuity; cost function convexity; discontinuous optimal control; discontinuous rater structure; electric pumps; irrigated agriculture; load curve; low flow rate efficiency; optimal peak shaving capacity; rural electric cooperatives; small distributed generator sets; Agriculture; Cost function; Distributed power generation; Fuel economy; Irrigation; Mesh generation; Optimal control; Power generation; Power generation economics; Standby generators;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2000. Proceedings of the 2000
Conference_Location :
Chicago, IL
ISSN :
0743-1619
Print_ISBN :
0-7803-5519-9
Type :
conf
DOI :
10.1109/ACC.2000.878740
Filename :
878740
Link To Document :
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