Optimal scheduling of a hybrid wind–battery power plant in the day-ahead and reserve markets considering battery degradation cost

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This paper deals with the integration of the cost of battery degradation into the short-term self-scheduling problem of a hybrid power plant (HPP) comprising a wind farm and a lithium-ion battery. The HPP participates in the Spanish day-ahead (DA) energy and secondary regulation reserve markets. The MILP deterministic model not only considers the cost of battery lifetime loss due to cycle aging, which is a function of depth of discharge (DOD) and discharge rate (C-Rate), but also considers the cost of calendar aging that is affected by three factors: time (t), state of charge (SOC), and temperature (T). Numerical simulations demonstrate that taking calendar aging into account significantly impacts the BES charge/discharge strategy and energy market trading.

​This paper deals with the integration of the cost of battery degradation into the short-term self-scheduling problem of a hybrid power plant (HPP) comprising a wind farm and a lithium-ion battery. The HPP participates in the Spanish day-ahead (DA) energy and secondary regulation reserve markets. The MILP deterministic model not only considers the cost of battery lifetime loss due to cycle aging, which is a function of depth of discharge (DOD) and discharge rate (C-Rate), but also considers the cost of calendar aging that is affected by three factors: time (t), state of charge (SOC), and temperature (T). Numerical simulations demonstrate that taking calendar aging into account significantly impacts the BES charge/discharge strategy and energy market trading. Read More