基于免疫算法的电网拓扑结构识别

Power Grid Topology Identification Based on Immune Algorithm

基于大电网运动轨迹识别电网拓扑结构,对实现信息驱动的大电网运行态势感知与智能控制具有重要意义。首先,基于电网功率平衡原理和潮流约束,将电网拓扑结构识别归结为寻求盒子与小球全局最优组合问题,从全新角度给出电网拓扑识别思路,简化了传统电网拓扑识别的复杂流程。其次,根据母线节点功率流通平衡特性,建立了电网拓扑结构识别数学模型,从全局寻优角度提高了电网拓扑识别效率,同时引入电压损耗以克服电网拓扑识别不唯一问题。再次,采用免疫智能算法对该模型进行求解,该算法有效保持了抗体多样性,避免了早熟收敛问题。最后,在IEEE 39、IEEE 118节点系统上进行了测试,验证了方法的有效性。

Power grid topology identification for large power grid trajectories is of great significance for informationdriven large power grid operation situation awareness and intelligent control.Firstly,based on the principle of power balance and power flow constraints,the identification of power grid topology was reduced to the problem of seeking the global optimal combination of box and ball.The idea of power grid topology identification was given from a new perspective,which simplified the complex process of traditional power grid topology identification.Secondly,according to the power flow balance characteristics of bus nodes,a mathematical model of power grid topology identification was established,which improved the efficiency of power grid topology identification from the perspective of global optimization.At the same time,the voltage loss was introduced to overcome the non-uniqueness problem of power grid topology identification.Thirdly,the immune intelligent algorithm was used to solve the model.The algorithm effectively maintained the diversity of antibodies and avoided the premature convergence problem.Finally,the proposed method was tested on IEEE 39 and IEEE118 bus systems to verify the effectiveness.