Market clearing with VRES and ESS

This tool illustrates how energy storage systems (ESS), for example batteries and hydrogen, affect the market clearing in electricity systems. ESSs act as both supply and demand. Marginal value pricing is also applicable for ESSs, but the storage marginal value (SMV) is influenced by the state of the system, for example the SOC of the ESSs, and the future generation and demand. It can therefore be considered as a function of time and state. For a given storage marginal value \( SMV \), and charge and discharge efficiencies \( \eta_c, \eta_d \), the marginal discharge value of an ESS is \( \frac{SMV}{\eta_d} \) and the marginal charge value \( SMV \cdot \eta_c \).

In this tool, you can add supplies and demands as well as ESSs. Use the sliders to change power, value and efficiency and observe how the order of the supply and demand changes, and how it influences the market price and volume.

Source code is available at GitHub.

For further details, we refer to:

Aaslid, P., Korpås, M., Belsnes, M. M., & Fosso, O. B. (2021). Pricing electricity in constrained networks dominated by stochastic renewable generation and electric energy storage. Electric Power Systems Research, 197, 107169.

Aaslid, P., Korpås, M., Belsnes, M. M., & Fosso, O. B. (2021). Stochastic Optimization of Microgrid Operation With Renewable Generation and Energy Storage. [Preprint]

Supply	Power	Cost

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Demand	Power	Value

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Storage	Charge power	Charge efficiency [%]	Discharge power	Dicharge efficiency [%]	Marginal value

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