Abstract
In recent years, the concept of virtual power plants has been regarded as an appropriate platform for dealing with the growth of renewable sources. In addition, by expanding the number of novel energy conversion technologies, such as power-to-gas (P2G) units, the structure and idea of VPPs should be evolved to make use of such technologies. To that aim, this chapter offers an optimum scheduling framework for a gas-electricity-based virtual plant (GEVP) in order to maximize profit via taking part in power and gas markets. Renewable energy resources, conventional gas turbines, P2G storage units, electrical storage, and demand response are all part of the planned virtual plant. Furthermore, a robust risk-controlling model is presented to deal with the fluctuations of power generated by wind and solar power plants in the proposed structure without the requirement for a probability distribution function. The results show that adding a P2G storage unit along with an electrical storage system to the construction of a typical virtual power plant can make its profit 11.3% better.
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