Publication:
Optimal day-ahead scheduling of a hybrid electric grid using weather forecasts

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Authors
Bouaicha, Hamadi
Subjects
Hybrid electric grid
Microgrid
Hybrid renewable energy system
energy management center
optimization
Day-ahead scheduling
Weather forecast
Wind power
Photovoltaic Power
Advisors
Craparo, Emily
Date of Issue
2013-12
Date
Dec-13
Publisher
Monterey, California: Naval Postgraduate School
Language
Abstract
The compromise between the stability of a hybrid electric grid (HEG) and the total operating cost can be reached by accurately anticipating the future renewable power productions. This thesis suggests the use of weather forecasts to establish day-ahead operating schedules for a grid that include the operating plan of dispatchable fuel-based generators, the charge or discharge of energy storage units, and the energy to exchange with the commercial grid if the configuration of the HEG allows it. The weather forecasts used as a key factor to establish the optimal plan are subject to uncertainty. In order to mitigate this problem, multiple weather forecast scenarios are used in the optimization. This thesis alters the optimization model to represent various configurations of the HEG and optimizes over a variety of weather forecasts. It then tests the operating plans suggested by the model using particular weather scenarios representing actual observed weather conditions. Finally, this thesis gives an illustration of how to run the optimization model with the rolling horizon method using updates of weather forecasts.
Type
Thesis
Description
Series/Report No
Department
Operations Research
Organization
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NPS Report Number
Sponsors
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Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.
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