计及弃光约束的配电网光伏接纳能力评估

针对配电网光伏接纳能力优化问题，兼顾光伏投资方收益与运营方网损，提出一种计及弃光约束的配电网光伏接纳能力评估方法。首先，以网损最小为目标，将弃光约束引入基于DistFlow方程的评估模型，将问题转化为不同弃光阈值下的二阶锥规划问题；然后，以固定增量迭代增加弃光阈值，计算得到相应弃光阈值下的光伏接入容量和弃光率，依据投资收益与光伏总接入容量及弃光率的差分关系，插值估算出投资利润最大时的光伏总接入容量和弃光率；最后，采用回代策略将估算得到的总接入容量和弃光率作为新约束，代入评估模型，计算各备选节点的接入容量。在改进的IEEE 33节点系统中进行仿真计算，结果表明所提方法确定的光伏接入容量能够较好地平衡投资收益和网损。

Evaluate the hosting capacity of PV in distribution network: considering PV curtailment constraints

In view of the inconsistency between the maximization of revenue pursued by photovoltaic (PV) investors and the minimization of network losses pursued by distribution network operators, a PV hosting capacity (HC) evaluation method with light abandonment constraints is proposed to determine the PV access capacity. Firstly, the light abandonment constraints are integrated into the HC evaluate model based on DistFlow to minimize the network losses. The hosting problem is transformed to a second-order cone programming (SOCP) problem under different light abandoned rate limits. Then, under the framework of this model, the total access capacity and the light abandoned rate at the time of maximum revenue are estimated by interpolation of the difference relationship between revenue and total access capacity. Finally, the estimated total access capacity and light abandoned rate are brought into the model as new constraints by the back substitution strategy, and the access capacity of each candidate node can be calculated. The verification results of the improved IEEE-33 bus system show that the access capacity determined by the proposed method balances the revenue and the network losses.In view of the inconsistency between the maximization of revenue pursued by photovoltaic (PV) investors and the minimization of network losses pursued by distribution network operators, a PV hosting capacity (HC) evaluation method with light abandonment constraints is proposed to determine the PV access capacity. Firstly, the light abandonment constraints are integrated into the HC evaluate model based on DistFlow to minimize the network losses. The hosting problem is transformed to a second-order cone programming (SOCP) problem under different light abandoned rate limits. Then, under the framework of this model, the total access capacity and the light abandoned rate at the time of maximum revenue are estimated by interpolation of the difference relationship between revenue and total access capacity. Finally, the estimated total access capacity and light abandoned rate are brought into the model as new constraints by the back substitution strategy, and the access capacity of each candidate node can be calculated. The verification results of the improved IEEE-33 bus system show that the access capacity determined by the proposed method balances the revenue and the network losses.