计及源荷时序特性的低压台区分布式光伏接入分布鲁棒优化方法

Distributionally robust optimization of distributed photovoltaic access in low-voltage distribution station area considering source-load timing characteristics

为提高低压配电台区中分布式光伏(DPV)的接入容量,促进光伏消纳,本文提出一种计及源荷时序特性的低压台区DPV接入分布鲁棒优化方法.首先,针对低压台区中分布式光伏出力和负荷需求的不确定性,提出一种基于优化聚类的源-荷联合时序场景生成方法;其次,计及电压约束、线路容量约束、逆变器无功补偿约束及光伏消纳约束等,构建低压台区分布式光伏接入分布鲁棒优化模型,在保证各典型场景最恶劣概率分布下的弃光率期望值符合要求的情况下,最大化低压台区中分布式光伏接入容量;然后,建立低压台区分布式储能接入的数学模型,以研究储能接入及其充放电机制对低压台区分布式光伏接入的影响;最后,以实际配电台区为例进行仿真计算,验证了本文模型的有效性.

To improve the access capacity of Distributed Photovoltaic(DPV)in the low-voltage distribution station area and promote photovoltaic consumption,a distributionally robust optimization method of DPV access in the low-voltage distribution station area is proposed considering the timing characteristics of source-load.First,a source-load joint timing scenario generation method based on optimized clustering is presented to handle the uncertainty of distributed photovoltaic output and load demand in the low-voltage distribution station area.Next,a distributionally robust optimization model of distributed photovoltaic access in the low-voltage distribution station area is constructed by taking into account the voltage constraints,line capacity constraints,reactive power compensation constraints of inverter and photovoltaic consumption constraints,etc.The proposed approach maximizes the access capacity of DPV while ensuring that the expected value of PV curtailment rate under the worst probability distribution of each typical scenario meets the requirements.Then,a mathematical model of distributed energy storage access in low-voltage distribution station area is established to study the influence of energy storage access and its charging-discharging mechanism on distributed photovoltaic access.Finally,the effectiveness of the proposed model is verified by taking simulation on actual low-voltage distribution station area.