What is it about?
In the present paper we apply Portfolio theory (PT) to solar and wind resource forecast, combining those two intermittent RE sources in different percentages to investigate the resultant effects on the prediction error with the use of a proposed Impact Factor (IF).
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Why is it important?
The paper innovates by using Portfolio Theory to solar and wind forecast in the planning phase, before the installation of wind and solar plants.
Perspectives
According to the results, Portfolio Theory is in condition to contribute as a management method for the increasing connection worldwide of wind and solar resources in the electricity supply system. Additionally, the proposed application of the PT to solar and wind resources forecasting can be used as a tool in the planning phase of grid connected solar-wind hybrid plants, providing an innovative mechanism to decrease the predictability errors of RE resources.
Prof. Dr. PAULO C. M. CARVALHO
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This page is a summary of: Portfolio Theory applied to Solar and Wind resources forecast , IET Renewable Power Generation, May 2017, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/iet-rpg.2017.0006.
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