Optoelectronics' rapid development has challenged the regulation ability of conventional units due to its output’s randomness, fluctuation, and uncertainty. A multi-time scale coordinated scheduling model for power generation, load shifting, and energy storage is developed by taking into account the prediction error characteristics of optoelectronics at different time scales, as well as the benefits of load curve optimization and the flexible power regulation capability of energy storage. Currently, for the optimization of power systems containing optoelectronics, this article mainly adopts the scenario method, using typical scenarios with uncertain factors to replace all possible scenarios, Calculate the expected value of the objective function using the probability of typical scenarios, and establish an expected value model to seek an optimization plan for photovoltaic output that meets the constraints of typical scenarios and safe operation. This model aims to optimize the efficiency of resource utilization by jointly modeling transferable load, energy storage and conventional units, and comprehensively considering the dispatching cost of transferable load, energy storage degradation cost, penalty cost related to unit output plan change and photoelectric consumption efficiency.