计及参与单元有序控制的主动配电网供电能力模型

为充分发挥主动配电网中清洁能源及多种可控元件的主动协调能力,提高配电网最大供电能力TSC(to?tal supply capacity),提出兼顾主动配电网结构灵活性与参与单元多样性的供电能力双层计算模型。上层模型以网络重构为手段提升系统供电能力;下层模型针对多类型参与单元的不确定性建模,以调节成本为目标挖掘多参与单元有序控制下提升主动配电网供电能力的潜力。其次,为简化模型求解复杂度,利用卡罗需-库恩-塔克KKT(Karush-Kuhn-Tucker)条件将双层模型转化为单层模型,并提出改进的烟花粒子群优化算法计算主动配电网最大供电负荷。最后,以改进的IEEE33节点系统对所提双层模型及算法进行了验证,算例验证了所提模型及算法的正确性和有效性。

Power Supply Capacity Model of Active Distribution Network with Orderly Control of Units

To give full play to the initiative coordination capability of clean energy and multiple controllable components in active distribution network and improve the distribution network ' total supply capacity ( TSC ), a bi-level supply capacity model is proposed by taking into account both the flexible structure of active distribution network and the diversity of participating units. The upper model improves the system ' s power supply capacity by means of network reconfigu? ration , while the lower model models on the uncertainty of multitype participating units with the objective of adjusting cost , and digs the potential of improving the power supply capacity of active distribution network with the orderly control of multiple participating units. Next , to reduce the complexity in solving the model , the bi-level model is transformed into a single-level model by means of Karush-Kuhn-Tucker conditions , and an improved fireworks particle swarm optimization ( FPSO ) algorithm is put forward to compute active distribution network ' s total power supply load. At last , an improve IEEE 33-node system is used to verify the proposed bi-level model and the corresponding algorithm , and simulation results show that they are correct and valid.