以提高供电可靠性为目标的主动配电网负荷转供优化方法

Load Transfer Optimization Methods for Distribution Network Including Distribution Generation

分布式电源(distribution generation,DG)在配电网的大量接入,形成主动配电网(active distribution network,ADN),对配电网的规划调度运行产生了深远影响,特别是给配电网应急恢复带来新的问题。针对这个问题,提出一种面向主动配电网的故障状态下的负荷转供模型,有利于提高供电可靠性和经济性。首先,根据可控能力对DG进行分类,并提出利用可控DG发电来恢复对越限负荷供电的策略;其次,提出负荷转供优化模型,综合考虑了DG发电和配网重构来降低供电企业综合负荷转供成本;再次,提出一种基于图论的重构配网放射性快速判断方法,能够为遗传算法快速产生可行解并排除不可行解的干扰;最后,仿真算例结果显示,提出的模型和方法在计算速度、迭代次数上优于现有研究方法,且可增加DG的额外发电和降低网损。

As a large number of distribution generation（DG） access to distribution network, they will have a profound impact on distribution network in planning and dispatching, especially on emergency recovery. To solve this problem, this paper proposed a strategy to transfer load in fault distribution network containing DG. Firstly, DGs were classified according to their capability, and then a strategy that controllable DG was used to recover limited load was proposed. Secondly, a load-transfer optimization model considering both DG output and distribution network reconfiguration was proposed, aiming at reducing comprehensive costs for power company. And then to quickly generate a feasible solution and eliminate interference of infeasible solutions for genetic algorithms, a quick judgment method for radial bound of distribution network was proposed. Finally, numerical example results showed that the model and the method proposed in this paper was advantageous in computing speed and number of iterations over existing ones. It could also increase extra DG power and decrease network loss.