基于优劣解距离算法的光储配电网自适应虚拟惯性控制策略

Adaptive Virtual Inertial Control Strategy of Optical Storage and Distribution Network Based on ToPSIS Algorithm

针对多光储单元共同运行时因指标不同存在的惯性功率分配问题,以自适应虚拟惯性控制作为提升电能质量水平的手段,提出一种多光储单元协同控制策略.根据蓄电池的充放电特性,对系统提供惯性大小进行调整.当系统内出现高频扰动时,首先选择超级电容来提供惯性支撑,容量不足时,蓄电池将配合起到惯性支撑作用.当系统内部出现低频扰动时,由蓄电池提供惯性功率支撑,引入优劣解距离算法,在进行协同控制时,选取换流器允许功率波动范围、储能装置允许功率波动范围等指标作为评价参考,实现多指标综合评价下多虚拟同步发电机(VSG)单元之间的协同配合.最后通过实验平台搭建含多VSG单元的交流系统,验证所提控制策略的有效性.

Aimed at the problem of the inertia power allocation due tOdifferent indexes when multiple optical storage units are running together,a cooperative control strategy of multiple optical storage units is proposed by using adaptive virtual inertia control as a means tOimprove power quality.According tOthe charging and discharging characteristics of the battery,the inertia provided by the system is adjusted.As high-frequency disturbance occurs in the system,the super capacitor is the first choice tOprovide inertia support.As low-frequency disturbance occurs in the system,the battery provides inertia power support,and the distance algorithm of the superior and inferior solutions is introduced.As cooperative control is performed,indicators such as the allowable power fluctuation range of the converter and the allowable power fluctuation range of the energy storage device are selected as the evaluation reference,the coordination among multi virtual synchronous generator(VSG)units in multi-index comprehensive evaluation is realized.Finally,an AC system with multi VSG units is built on the experiment platform,and the effectiveness of the proposed control strategy is verified.