Operation, Planning, and Analysis of Energy Storage Systems in Smart Energy Hubs pp 189-220 | Cite as

# Optimal Stochastic Short-Term Scheduling of Renewable Energy Hubs Taking into Account the Uncertainties of the Renewable Sources

## Abstract

Due to the advent of energy hub concept and increased utilization of renewable-based distributed generation (DG), renewable energy hubs seem to play an inevitable role in the future of energy networks. Although renewable energy hubs can greatly improve the flexibility in supplying energy demands, the uncertainties of renewable resources bring new challenges in scheduling of energy resources. This chapter aims to investigate the abilities of stochastic frameworks for dealing with uncertainties in scheduling problem of renewable energy hubs. To this end, the input–output relations of energy hubs, renewable resources, and energy demands are modeled, first. Then, the general framework of energy scheduling problem and its mathematical model for a renewable energy hub is addressed. Stochastic optimization algorithms, useful for energy scheduling problem of renewable energy hubs, are described and the uncertain behavior of wind and solar energies in short-term scheduling problem are modeled. The mathematical model of stochastic scheduling is therefore extracted for the renewable energy hub and different probabilistic optimization methods are suggested to deal with this stochastic problem. Finally, an example of stochastic energy hub modeling is provided to demonstrate how to model, solve, and apply the results of energy scheduling problems in renewable energy hubs.

## Keywords

Renewable energy hub Stochastic scheduling Renewable resources Uncertainty Optimization## References

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