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Energy storage applications are explored from a prosumer (consumers withgeneration) perspective for the island of Madeira in Portugal. Theseapplications could also be relevant to other power networks. We formulate aconvex co-optimization problem for performing arbitrage under zero feed-intariff, increasing self-sufficiency by increasing self-consumption of locallygenerated renewable energy, provide peak shaving and act as a backup powersource during anticipated and scheduled power outages. Using real data fromMadeira we perform short and long time-scale simulations in order to selectend-user contract which maximizes their gains considering storage degradationbased on operational cycles. We observe energy storage ramping capabilitydecides peak shaving potential, fast ramping batteries can significantly reducepeak demand charge. The numerical experiment indicates that storage providingbackup does not significantly reduce gains performing arbitrage and peak demandshaving. Furthermore, we also use AutoRegressive Moving Average (ARMA)forecasting along with Model Predictive Control (MPC) for real-timeimplementation of the proposed optimization problem in the presence ofuncertainty.

Energy Storage in Madeira, Portugal: Co-optimizing for Arbitrage, Self-Sufficiency, Peak Shaving and Energy Backup