摘要
传统配电网矩阵式定位算法以故障过流模式作为定位算法的信息来源,出现坏数据情况下容易产生误判,计算整定复杂且不适用多电源配电网复杂故障识别。新息图理论以KCL定律为基础,可有效识别系统异常状态。因此,以故障后一时刻减去故障前一时刻生成的电流新息代替故障过流模式,结合新息理论对坏数据情况加以处理,提出改进后故障定位算法,在相关量测量出现坏数据的情况下仍可以对故障进行准确定位,提高了定位算法的容错性,并且适用于多电源复杂故障情况,仿真算例也验证了该算法的有效性。
Traditional distribution network matrix location algorithm uses the overcurrent fault mode as the information source,which has disadvantages such as misjudgment when bad data exists,complicated calculation,and poor generality in the complex fault location of multiterminal power distribution network.Based on the KCL law,innovation graph theory has its own advantages in identifying abnormal state of the system.Therefore,fault current mode is replaced by the current innovation generated from the current before and after the fault,and the bad data condition are processed uses innovation graph theory,the improved fault location algorithm is proposed.In the case of bad data,the fault still can be accurately located which improves the fault tolerance of the algorithm,and the algorithm is suitable for multi-power complex fault situation,the simulation result verifies the effectiveness of the algorithm.
出处
《能源与环保》
2017年第12期153-157,共5页
CHINA ENERGY AND ENVIRONMENTAL PROTECTION
关键词
电力系统
复杂配电网
故障定位
坏数据
电流新息
power system
complex distribution network
fault location
bad data
current innovation
