In order to ensure the safe and stable operation of multi-terminal flexible DC system and improve the accuracy of single-pole grounding fault location of transmission lines. This paper proposes a single-pole grounding fault location method based on Least Squares Support Vector Machine (LSSVM). When the ground fault occurs, the line mode voltage of different sections in series is combined with the classification mechanism of least squares support vector machine to identify the fault section. Then, the frequency domain characteristics of the line mode voltage in this section are extracted by wavelet packet decomposition combined with Pearson correlation coefficient, and the LSSVM model is established based on the characteristic results to realize fault location. The sparrow search algorithm is used to optimize the parameters of LSSVM model. This paper established ± 500kV four-terminal flexible DC simulation model for testing. The results show that the method has good anti-transition resistance ability, and the location error is within 0.37 km at the sampling frequency of 50 kHz.
Accurate location of the fault section in distribution networks is essential in ensuring power supply reliability and self-healing. Based on the extraction and analysis of fault feature information of automatic monitoring devices， this paper constructs the switching function and fitness function suitable for multi-state and different distributed power sources. It introduces additional fault criteria to improve the traditional fitness function. Moreover， it proposes an improved whale optimization algorithm based on multiple strategies. It uses the Sobol sequence to obtain a uniformly distributed initial population and uses differential variation perturbation factor and adaptive weight to improve the optimization accuracy and convergence speed. The simulation on an example shows that the improved whale optimization algorithm used in fault location is characterized by its strong fault tolerance， high fault identification rate， and optimization stability； Moreover， the algorithm can enhance the solution efficiency of fault location.
网架结构的选择是构建新型配电系统的核心前提,通过建立联络组供电新模式与配电二次系统的融合利用,在避免大拆大建的原则下进一步提升电网供电可靠性.联络组供电新模式是结合电网发展区域的地理特点、现状/饱和负荷特点、现状电网特点等多因素的综合考量提出的新的供电结构,并通过该供电新模式的实际应用案例情况阐明其可行性,为构建新型配电系统的规划技术提供新的参考.
由于传统换流站变电人工巡检方法极易受外界环境等因素影响,导致巡检质量较低,提出基于多元传感技术融合的换流站变电智能巡检方法.通过构建多元传感技术融合模型,获取换流站变电设备全状态数据,通过制定换流站变电巡检路线,结合变电设备风险概率设计一个智能巡检规划模型,实现换流站变电自动化巡检.以存在桩头发热故障的变压器为例,开展巡检实验,结果表明本文所提巡检方法具备优越的数据采集性能,满足换流站变电智能化巡检需求.
随着国家大力推进智能电网建设,采用了大量智能化的变电设备,变电设备的数据量大、数据种类繁杂,必须对变电设备的状态进行有效的监测.在进行变电设备监测时,存在着异构传感器接入问题,本文专门针对此问题提出了基于云边协同技术的变电设备监测方法,设计了变电设备监测的云边协同技术架构,基于此架构完成数据采集、传感器数据解析、以及边缘计算功能.经过现场实际运用,能够有效实现变电设备的状态监测以及状态评价,具备进行大规模推广应用的价值.
