新型混合SVC模型及其基于人工免疫算法的控制策略

Advanced hybrid SVC model and corresponding control strategy based on artificial immune algorithm

针对静止无功补偿器(SVC)在抑制电压闪变、滤除谐波方面效果不理想以及静止无功发生器(SVG)成本过高的问题,提出一种FC+TCR+SVG型混合SVC模型。成本低廉的大容量SVC(FC+TCR)完成初步粗补偿,小容量SVG负责微补偿、抑制电压闪变以及滤除谐波,两者优势互补,最大限度地兼顾成本与性能。通过分析不同的模块布局,确定可行的电路分布结构,最大限度地减少模块间的干扰。提出基于人工免疫算法的改进型动态PI控制器以及模块间的协调控制策略。PSCAD仿真结果表明,新型混合SVC比传统SVC响应速度更快,补偿效果更好,并对谐波有较好的抑制作用,其综合性能媲美SVG,且可以节省50%以上的成本。

Since the effect of SVC（Static Var Compensator） is not ideal in voltage flicker suppression and harmonic elimination and SVG（Static Var Generator） is too expensive,a hybrid SVC model of FC＋TCR＋SVG is proposed. The cheap and large-capacity SVC（FC＋TCR） compensates most reactive power while the smallcapacity SVG compensates remaining reactive power,suppresses voltage flicker and eliminates harmonics,which complement each other to give utmost consideration to both cost and performance. Different module structures are analyzed to determine a feasible structure of circuit distribution for minimizing the interference among modules. An improved dynamic PI controller based on the artificial immune algorithm and a strategy of coordinative control among modules are proposed. The results of PSCAD simulation show that,compared with the traditional SVC,the proposed hybrid SVC has faster response speed and better performance in compensation and harmonic suppression. It is comparable with SVG in comprehensive performance and saves more than 50 % cost.