Analysis of Optimal Scheduling Model for Virtual Power Plants Considering the Cost of Battery Loss

The loss and life prediction of batteries are mainly based on experience and performance. The experience-based method of loss modeling and life prediction is carried out by the experience knowledge accumulated during battery use. The method is simple and fast, but it is only suitable for the battery technology to be mature and the experience knowledge fully used in a particular situation. The construction of virtual power plant energy storage system consists of lead-acid battery and Ni MH battery, taking into account the experience and knowledge of these two kinds of battery technology, which has been very mature and the application is also very good. In addition to the virtual power plant operators, it also have economic benefits and efficiency requirements. So this paper, based on the number of cycles of experience method and weighted method of virtual storage battery KWH of power plant, it can be predicted by life loss modeling system. At the same time, the cost of battery is considered by operators in order to analyze the impact of the factors on the storage life of battery storage system and the optimal dispatching decision of virtual power plant.