A probabilistic method for the evaluation of the performance of wind-diesel energy systems

Journal Article · Tue Sep 01 04:00:00 EDT 1992 · IEEE Transactions on Energy Conversion (Institute of Electrical and Electronics Engineers); (United States)

DOI:https://doi.org/10.1109/60.148561· OSTI ID:6935977

Gavanidou, E S; Bakirtzis, A G; Dokopoulos, P S ^[1]

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1. Aristotelian Univ. of Thessaloniki (Greece)

This paper describes a probabilistic method for predicting the performance of autonomous wind-diesel energy systems based on statistical data of the system load and the wind speed. The statistics of the diesel plant loading, which is the initial system load net the wind generation are calculated. Expected annual wind and diesel energy production as well as fuel consumption and cost are calculated. In order to retain acceptable service reliability, the operation of the wind-diesel system is constrained by the requirement that the wind generation must not exceed a certain percentage of the system load. This requirement introduces interdependence between the wind generation and the system load which is taken into account in the derivation of the statistics of the diesel plant loading. The performance of the developed method is demonstrated with computational results. An example of obtaining the optimum wind penetration to an already existing diesel system is also presented.

• OSTI ID: 6935977
• Journal Information: IEEE Transactions on Energy Conversion (Institute of Electrical and Electronics Engineers); (United States), Journal Name: IEEE Transactions on Energy Conversion (Institute of Electrical and Electronics Engineers); (United States) Vol. 7:3; ISSN 0885-8969; ISSN ITCNE4
• Country of Publication: United States
• Language: English

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CALCULATION METHODS
COMPUTER CALCULATIONS
COST
DATA
DIESEL ENGINES
DYNAMIC LOADS
ECONOMIC ANALYSIS
ECONOMICS
ENERGY CONSUMPTION
ENERGY SOURCES
ENGINES
FUEL CONSUMPTION
HEAT ENGINES
INFORMATION
INTERNAL COMBUSTION ENGINES
NUMERICAL DATA
PERFORMANCE TESTING
POWER
POWER PLANTS
PROBABILISTIC ESTIMATION
RENEWABLE ENERGY SOURCES
STATISTICAL DATA
TESTING
VELOCITY
WIND LOADS
WIND POWER
WIND POWER PLANTS