Abstract:  In order to improve renewable energy utilization and power supply economy， promote the combination of renewable energy and energy storage projects， and realize the local accommodation of renewable energy， this paper proposes a bi-level two-stage robust optimal operation strategy for AC and DC hybrid distribution network with photovoltaic and energy storage （PAES） considering source-load uncertainty. The first level of the strategy takes the maximum accommodation of renewable energy as the constraints， and the minimum electricity purchase cost required to access PAES nodes as the optimization objective； the second level takes the minimum operation cost of AC and DC hybrid distribution network as the optimization objective， including power purchase cost， network loss cost， operation and maintenance cost and life loss cost of energy storage station. The second-order cone relaxation method is adopted to handle nonlinear constraints. The strategy proposed in this paper realizes the maximum accommodation of renewable energy， solves the problem of large gap between peak and valley of load curve， and achieves the economic operation of AC and DC distribution network on the basis of ensuring the robustness of optimization strategy. Finally， this paper takes an AC and DC distribution network with the modified IEEE 33 nodes as an example to analysis， and verifies the correctness and effectiveness of the proposed strategy.

Key words: photovoltaic and energy storage, AC and DC distribution network, robust optimization, second-order cone, energy storage power station