【摘要】 为在允许合理弃光前提下有效评价储能配置于配电网后的分布式光伏最大接入容量，该文构建了考虑弃光率约束的含储能配电网光伏最大接入容量评估模型，并通过对潮流约束和线路容量约束的线性化，将之构建为一个以年为尺度、小时为颗粒度的大规模线性规划模型。为有效提高求解效率，根据模型特征和储能运行规律，提出了场景缩减策略，有效降低了优化模型规模，并进一步通过优化场景集的迭代更新保证了解的最优性。算例结果表明，利用该文所提场景缩减策略，可将求解时间降低80%，且精度基本保持不变；同时配置储能能够明显提升邻近节点的光伏最大接入容量，提升容量与储能允许的最大充电功率之间基本呈现出线性关系，在5%的允许弃光率下，耦合系数约为0.8。更多还原

【Abstract】 To effectively evaluate the maximum hosting capacity of distributed photovoltaic with battery energy storage systems in the distribution network under the premise of allowing rational photovoltaic curtailment,this paper constructs an evaluation model of the maximum hosting capacity of photovoltaic with battery energy storage systems in the distribution network,considering the constraints of photovoltaic curtailment rate. By linearizing power flow constraints and line capacity constraints,this model is constructed into a large-scale linear programming model with the scale of year and the granularity of hour as the scale. To effectively improve the solution efficiency,a scenario reduction strategy is proposed according to the model characteristics and the operation law of the battery energy storage,which effectively reduces the size of the optimization model,and further ensures the optimality of understanding through the iterative update of the optimized scenario set. The numerical results show that the computing time can be reduced by 80% by using the proposed scenario reduction strategy,and the accuracy is basically unchanged.Meanwhile, energy storage can significantly increase the maximum photovoltaic access capacity of adjacent nodes,and there is a linear relationship between the increased capacity and the maximum charging power allowed by energy storage,and the coupling coefficient is about 0.8 when the curtailment rate is 5%.更多还原