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

Conference · Sat Apr 01 04:00:00 EST 1995

OSTI ID:52813

Barley, C D ^[1]; Winn, C B ^[2]; Flowers, L; Green, H J ^[3]

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1. Colorado State Univ., Fort Collins, CO (United States). Mechanical Engineering Dept.
2. Colorado State Univ., Fort Collins, CO (United States)
3. National Renewable Energy Lab., Golden, CO (United States). Wind Technology Div.

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.

• Research Organization: National Renewable Energy Lab., Golden, CO (United States)
• Sponsoring Organization: USDOE, Washington, DC (United States)
• DOE Contract Number: AC36-83CH10093
• OSTI ID: 52813
• Report Number(s): NREL/TP--441-7806; CONF-950309--3; ON: DE95004015
• Country of Publication: United States
• Language: English

Related Subjects

24 POWER TRANSMISSION AND DISTRIBUTION
CONTROL THEORY
DIESEL ENGINES
ECONOMICS
HYBRID SYSTEMS
OPERATION
OPTIMAL DISPATCH STRATEGIES
PHOTOVOLTAIC POWER PLANTS
POWER SYSTEMS
REMOTE HYBRID POWER SYSTEMS
TIME-SERIES MODELS
WIND POWER PLANTS