三相不平衡主动配电网随机模糊安全距离研究

Research on Random Fuzzy Safety Distance of Active Distribution Network Considering Three-phase Unbalance

现有配电网安全域模型和安全距离模型均以确定性描述且未考虑三相不平衡因素,为此,提出了一种三相不平衡主动配电网(active distribution network,ADN)随机模糊安全距离模型及其多目标优化提升方法。在将传统ADN安全域模型拓展到能计及三相不平衡因素基础上,进一步计及风电出力随机模糊性,提出一种三相不平衡ADN安全域和随机模糊安全距离模型;针对不满足安全裕度运行点问题,提出以风电主动控制和无功补偿为手段,建立兼顾安全距离、弃风量和有功网损等多目标优化的随机模糊潮流安全距离提升模型,并结合随机模糊模拟、三相前推回代潮流算法和NSGA-II算法对多目标最优模型求解。改进的三相不平衡IEEE33节点算例仿真及其结果表明了所提方法的有效性。

The existing distribution network security region model and safety distance model both are deterministic and do not consider the three-phase unbalance. Therefore, this paper presented a three-phase unbalanced active distribution network(ADN)random fuzzy safety distance model and multi-objective optimization lifting method. This paper extended the traditional AND security region model to account for three-phase unbalanced factors. Further considering the random fuzzy distributed wind power, established a three-phase unbalanced ADN security region model and random fuzzy safety distance model. Furthermore, aiming at the problem of operating points that don’t meet the safety margin, this paper proposed measures such as reactive power compensation and wind power control, and established a multi-objective random fuzzy optimal power flow model that considering safety distance, wind power loss, and active power loss, and combined with random fuzzy simulation, three-phase forward and backward flow algorithm, and NSGA-II algorithm to solve the multi-objective optimization model. Finally, the simulation of improved three-phase unbalanced IEEE 33 node and results proved that the method proposed in this paper is correct and effective.