Optimal control of remote hybrid power systems. Part 1: Simplified model

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In this two-part study, time-series models are used to determine optimal dispatch strategies, in conjunction with optimally-sized components, in remote hybrid power systems. The objective of the dispatch optimization is to minimize the costs associated with diesel fuel, diesel starts, and battery erosion, based on a thorough economic analysis of present worth life-cycle cost. An ideal predictive control strategy is used as a basis of comparison. In Part 1 (reported here), a simplified time-series model is used to obtain preliminary conceptual results. These results illustrate the nature of the optimal dispatch strategy and indicate that a simple SOC setpoint strategy ... continued below

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13 p.

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Barley, C D; Winn, C B; Flowers, L & Green, H J April 1, 1995.

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This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. More information about this article can be viewed below.

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  • Barley, C D Colorado State Univ., Fort Collins, CO (United States). Mechanical Engineering Dept.
  • Winn, C B Colorado State Univ., Fort Collins, CO (United States)
  • Flowers, L
  • Green, H J National Renewable Energy Lab., Golden, CO (United States). Wind Technology Div.

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Description

In this two-part study, time-series models are used to determine optimal dispatch strategies, in conjunction with optimally-sized components, in remote hybrid power systems. The objective of the dispatch optimization is to minimize the costs associated with diesel fuel, diesel starts, and battery erosion, based on a thorough economic analysis of present worth life-cycle cost. An ideal predictive control strategy is used as a basis of comparison. In Part 1 (reported here), a simplified time-series model is used to obtain preliminary conceptual results. These results illustrate the nature of the optimal dispatch strategy and indicate that a simple SOC setpoint strategy can be practically as effective as the ideal predictive control. In Part 2 (at a later date), a more detailed model will be used to obtain more accurate, quantitative results. The authors anticipate that these results will be correlated to dimensionless economic, design, and performance parameters, rendering them useful as design guidelines over a wide variety of load profiles, climates, equipment specifications, and economic variables.

Physical Description

13 p.

Notes

OSTI as DE95004015

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  • 25. annual conference and exhibition on wind power, Washington, DC (United States), 26-30 Mar 1995

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  • Other: DE95004015
  • Report No.: NREL/TP--441-7806
  • Report No.: CONF-950309--3
  • Grant Number: AC36-83CH10093
  • Office of Scientific & Technical Information Report Number: 52813
  • Archival Resource Key: ark:/67531/metadc697995

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  • April 1, 1995

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  • Aug. 14, 2015, 8:43 a.m.

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  • March 31, 2016, 8:15 p.m.

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Barley, C D; Winn, C B; Flowers, L & Green, H J. Optimal control of remote hybrid power systems. Part 1: Simplified model, article, April 1, 1995; Golden, Colorado. (digital.library.unt.edu/ark:/67531/metadc697995/: accessed August 23, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.