What is it about?
We analyzed the cross-correlation of solar photovoltaic (PV) output fluctuation for the actual PV output time series data in the Tokyo area and the whole of Japan using the principal component analysis with the random matrix theory.
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Why is it important?
Based on the obtained cross-correlation coefficients, the forecast error for solar PV output was estimated with/without considering the cross-correlations. Then the operation schedule of thermal plants is calculated to integrate solar PV output using the proposed unit commitment model with the estimated forecast error. The system-balancing cost of the solar PV system was also evaluated with or without demand response.
Perspectives
We discussed the validity of the ‘local production for local consumption of renewable energy’ concept and alternative policy implications. The system-balancing cost per unit output energy is naturally expected to be more minor for Japan because of the small coefficient of variation. Developing the planned transmission lines will reduce the balancing capability required for PV integration.
Yuichi Ikeda
Kyoto Daigaku
Read the Original
This page is a summary of: Cross-correlation of output fluctuation and system-balancing cost in photovoltaic integration, The Journal of Engineering, October 2014, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/joe.2014.0235.
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