计及需求响应的分布式光伏集群承载能力评估

针对传统配电网分布式光伏承载能力评估方法中未考虑光伏集群的问题，构建了一种以光伏集群为评估单元的承载能力双层评估模型。模型外层通过价格弹性系数描述负荷需求变化，以售电商收益最大为目标优化分时电价，采用粒子群优化(particle swarm optimization, PSO)算法进行求解。内层以不往主网反送电作为指标，考虑电压偏差和设备热稳定约束，提出灵敏度排序方法求取光伏承载能力。在我国某县域实际配电网中求取了配电网光伏集群的承载能力，验证了所提模型和算法的有效性。

Carrying Capacity Evaluation of Distribution Network for Distributed Photovoltaic Cluster Considering User-Side Demand Response

Aiming at the problem that photovoltaic clusters are not considered in the traditional evaluation method of carrying capacity of distribution network for distributed photovoltaic power, a two-layer model of carrying capacity with photovoltaic clusters as the evaluation unit is constructed. In the outer layer of the model, PSO algorithm is used to describe the change of load demand through price elasticity coefficient, and the time-of-use price is optimized with the goal of maximizing the income of E-seller. In the inner layer, taking no reverse power transmission to the main network as the index, considering the voltage deviation and equipment thermal stability constraints, a sensitivity ranking method is proposed to calculate the carrying capacity for photovoltaic power. In the actual distribution network of a county in China, the impact of a single photovoltaic cluster on the carrying capacity of the distribution network is calculated, and the carrying capacity of the distribution network for the photovoltaic cluster is calculated to verify the effectiveness of the proposed model and algorithm.