The goal of wind farm energy storage capacity optimization is to meet the constraints of smooth power fluctuations and minimize the total cost, including the cost of self-built energy storage, renting CES, energy transaction service, wind abandonment penalty and smooth power shortage penalty.
An optimal allocation model of energy storage capacity for combined wind-storage system is studied. With the maximum total system revenue as the objective function, the influencing factors and their sensitivities of the energy storage capacity allocation of the combined system are analyzed.
Considering the economic benefits of the combined wind-storage system and the promotion value of using energy storage to suppress wind power fluctuations, it is of great significance to study the optimal allocation of energy storage capacity for wind farms.
The closer to 100%, the more the energy source is available throughout the year. The formula is capacity factor = actual output/maximum possible output. For a wind turbine, the maximum possible output would be the capacity x 8760 hr (there are 8760 hrs in a year).
Wind farms can lease CES to suppress wind power fluctuations, which brings new problems of energy storage capacity configuration. Therefore, it is urgent to study the joint optimal configuration of leased CES capacity and self-built physical energy storage capacity.
One last consideration to make for wind turbines (or any energy source) is something called capacity factor. Capacity factor indicates how much energy is generated by a source relative to the maximum amount of energy it could provide. This is expressed as a percentage, and is usually determined over the course of a single year.