Abstract: In order to improve the investment and operation economy of the user-side photovoltaic and energy storage project, a collaborative planning method for the photovoltaic, energy storage and transformer of industrial users was proposesd in this paper, based on "source-load" curves scenario and energy storage life loss. First, 8760h scale load demand curves and PV theoretical output curves are clustered by the k-means clustering algorithm, and a finite number of "source-charge" curves are formed by pairwise combination.Secondly, comprehensively considering the cost saving benefits of electricity consumption, project subsidy ,transformer investment, and the comprehensive investment cost of the photovoltaic power station and energy storage, a collaborative planning model with the goal of maximizing annual comprehensive benefits was established, including the linearized peak shaving delay investment benefit and the energy storage cost model based on the equivalent full cycle life number, which enables the integrated solution of energy storage planning and opera-tion optimization problems.Finally, the planning schemes of the typical large industrial consumer were solved by the YALMIP/CPLEX tool. The proposed collaborative planning model was proven to be effective, and can provide valuable reference for the planning project of the user-side photovoltaic and energy storage.