Research on the energy storage configuration strategy of new
Mathematical proof and the result of numerical example simulation show that the energy storage configuration strategy proposed in this paper is effective, also the bidding
The energy storage revenue has a significant impact on the operation of new energy stations. In this paper, an optimization method for energy storage is proposed to solve the energy storage configuration problem in new energy stations throughout battery entire life cycle.
The configuration of energy storage in new energy stations can effectively improve the operational efficiency of new energy stations, promote the consumption of new energy, and ensure the normal and stable operation of new energy stations. Currently, research on energy storage is also a hot topic [18, 19, 20, 21, 22, 23].
By constructing the revenue model and cost model of the energy storage system in new energy stations, an objective function considering the entire battery life cycle is established with the goal of maximizing the return on energy storage investment. The improved gray wolf optimization algorithm is used to solve the objective function.
The establishment of an energy storage system model is related to the revenue of new energy stations. This paper starts from the energy storage revenue model and energy storage cost model, and refines the energy storage system model.
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