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Energy storage charging pile participating in the joint operation of power grid can not only reduce the cost of power grid expansion, but also obtain the benefit of participating in the auxiliary management service of power grid demand side response, so as to reduce operation cost. In this paper, energy storage charging pile is used to participate in the joint operation optimization of grid demand side response, and a model of optimal allocation of container energy storage in distribution network is proposed. Based on operation strategy of Optical storage charging station vehicle, the model aims to maximize investor's income in investment cycle, considering the income of participating in the voltage regulation, the subsidy income of delaying upgrading of distribution network, its investment and operation cost, and considering the constraints of voltage regulation of distribution network, the conversion of access nodes, energy conservation, etc., so as to optimize the number and rated capacity of Optical storage charging station vehicle. Finally, the case study of ieee33 node system is carried out. The results show that optimal configuration model can make investors of optical storage charging station gain profits and improve the economy of optical storage charging station.

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With the gradual maturity of solar thermal power generation technology and the business model of solar thermal power plants, solar thermal power generation has become a good way to accelerate the penetration of new energy to replace traditional energy. A new energy ecosystem is taking shape. The uncertainty of wind energy and load can not be ignored, and effective measures must be taken to ensure the safety of the energy system. In this paper, based on the chance-constrained Gaussian mixture model, the uncertainty set of wind power forecasting error and the uncertainty set of load forecasting error are constructed. The robust economic multi-objective dispatching model is established by incorporating the robustness into the collaborative optimization objective to obtain the robust economic dispatching optimization scheme with higher comprehensive satisfaction. The research in this paper can provide scientific guidance for the robust economic dispatch of cogeneration microgrids with solar thermal power plants, and also provide new ideas for increasing the consumption of clean energy. At the same time, the proposed robust economic dispatch method can be applied to other microgrid dispatchs, which has certain academic and engineering practical significance.