【摘要】 新型电力系统下，新能源渗透率日益增加，传统电网由于地理位置、网络结构、输电容量、技术限制等原因，难以消纳高比例新能源，造成严重的弃风弃光现象。为了增加新能源的消纳，提高电力系统的运行稳定性，降低运行成本，提出了新型电力系统下源网荷储协同优化模型。考虑到新能源出力的随机性和间歇性，以优化运行成本作为目标函数，计及源网荷储各部分约束条件，构建了高比例新能源下的源网荷储分布鲁棒协同优化调度模型，采用列与约束生成算法进行迭代求解，获取在最恶劣概率分布下的最优调度策略。最后通过33节点的算例系统验证了所提优化调度方法的有效性。更多还原

【Abstract】 In the new power system, the penetration rate of new energy is increasing day by day.Due to the geographical location, network structure, transmission capacity, technical limitations and other reasons, the traditional power grid is difficult to absorb a high proportion of new energy, resulting in serious phenomenon of curtailed wind and solar power.In order to increase the consumption of new energy, improve the operation stability of the power system and reduce the operation cost, a new collaborative optimization model of source-network-load-storage in the power system was proposed.Considering the randomness and intermittent of new energy, taking the optimized operation cost as the objective function, considering the constraints of each part of the source-network-load-storage, and a distributionally robust collaborative optimization scheduling model for source-network-load-storage under high proportion new energy was constructed.The column and constraint generation algorithm was used to obtain the optimal scheduling strategy under the worst probability distribution.Finally, the effectiveness of the proposed optimal scheduling method was verified through the 33-node example system.更多还原