基于机会约束规划含光伏发电的配电网故障恢复

Chance Constrained Programming Based Fault Recovery of Distribution Network Containing Photovoltaic Generations

根据不同时段光照强度的概率密度函数构造了光伏发电(photovoltaic,PV)功率的离散概率模型。在此基础上,以关状态为优化变量,以高于置信水平的失电负荷量小为目标函数,以节点电压和支路功率越限概率满足置信水平要求为约束条件,建立了基于机会约束规划的含光伏的配电网故障恢复模型。充分利用光伏发电孤岛及光伏发电与配电网的协调配合,完善了光伏发电的孤岛策略,以保证重要负荷的供电。将生成树与蚁群算法结合,提出了求解配电网故障恢复机会约束规划模型的改进算法。IEEE 33节点系统算例仿真结果验证了该模型和算法的有效性。仿真结果也表明:故障发生时刻和故障恢复时间对含光伏发电的配电网故障恢复有重要影响,应结合故障发生时刻和故障恢复时间进行配电网故障恢复方案决策。

Based on probability density function of illumination intensity during different time intervals in a whole day a discrete probability model of photovoltaic （PV） generation is constructed. On this basis, taking switch status as optimal variables, the minimum quantity of interrupted load as objective function and the out-of-limit probability of both nodal voltage and branch power that meet the demand of confidence level as constraints, a chance constrained programming based fault recovery model for distribution network containing PV generations is built. Fully utilizing PV generation island and the coordination of PV generation with distribution network, the islanding strategy of PV generation is perfected to ensure the power supply to important load. Combining spanning tree with ant colony algorithm, an improved algorithm to solve chance constrained programming model for fault recovery of distribution network is put forward. The effectiveness of the proposed model and algorithm is validated by simulation results of IEEE 33-bus system, and simulation results also show that the moment when fault occurs and time for fault recovery greatly impact the fault recovery of distribution network containing PV generations, thus the fault recovery scheme of the distribution network should be decided by the combination of the moment when fault occurs with the fault recovery time.