Assessing the value of forecast-based dispatch in the operation of off-grid rural microgrids

Simone Mazzola, Claudio Vergara, Marco Astolfi, Vivian Li, Ignacio Perez-Arriaga and Ennio Macchi

Renewable Energy, 2017, vol. 108, issue C, 116-125

Abstract: Hybrid microgrids are expected to play an important role in the expansion of access to electricity in developing countries. While most of these systems are operated with dispatch strategies which do not make use of predictions about the load or about the availability of renewable energy resources, forecast-based strategies have recently gained attention as an alternative to bring down operation costs. In this work, we develop a framework to assess this potential under a range of assumptions about the quality of load and photovoltaic generation forecasts. The application of the methodology to a village of 600 households reveals cost savings ranging between 2% and 7% depending on the forecast quality and the composition of the microgrid. We also show that sizing microgrid components under the assumption of a predictive operation strategy results in a design with a higher share of intermittent generation.

Keywords: Microgrid; Rural electrification; Predictive dispatch; Forecasting; Energy management system (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (27)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:108:y:2017:i:c:p:116-125

DOI: 10.1016/j.renene.2017.02.040

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