A comprehensive model for the optimal design and management of Distributed Generation systems

Anatone, Michele; Panone, Valentina

doi:10.1109/icrera.2015.7418648

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Optimal Operation Of Power Systems1

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Cited by 4 publications

(2 citation statements)

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“…The following columns describe synthetic prediction scenarios with a RMSE of 0.0, 0.1 and 0.2 relative to the maximum value of the profile. The error was modeled using the fit described in equation (7) normalized to the maximum power of the corresponding unit.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Influence of Demand and Generation Uncertainty on the Operational Efficiency of Smart Grids

Matthiss

Momenifarahaniy

Ohnmeissz

et al. 2018

2018 7th International Conference on Renewable Energy Research and Applications (ICRERA)

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To ensure the smooth and near optimal operation of storage and controllable generation in a grid with a high share of renewable energies, it is important to have accurate forecasts for load and generation. But even with the advanced forecasts available today, the prediction error can have a significant impact on the operation performance of the system. This paper compares and analyzes the impact of the prediction-error on the operational performance in case of a small virtual power plant.

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Section: Resultsmentioning

confidence: 99%

“…The motivation to apply efficient resource scheduling in power systems has increased. It supports the economical and reliable energy production [6,7]. It also determines the This work has been funded by the Federal Ministry of Economy and Energy in Germany.The authors gratefully acknowledge this support.…”

Section: Optimal Operation Of Power Systemsmentioning

confidence: 99%