基于人工免疫算法的SVG电压外环控制器控制策略

The Control Strategy of SVG in Outer Loop Controller Based on Artificial Immunity Algorithm

针对高维非线性电力系统复杂的控制对象,在静止无功发生器(SVG)的电压偏差-无功的控制方法上,采用人体免疫系统维持自身功能正常的机理,以稳定电力系统工作状态,提出基于人工免疫算法的SVG外环控制器控制策略。研究中识别电力系统中相应抗原物质的电压变动因素,细胞激活生成过程的模糊建模,运用Mamdani模糊推理和重心中心解模糊方法,得到内环控制所需要的无功参考值指令。通过单机双闭环控制的SVG控制器离线仿真,对三相对称短路故障后控制的影响分析,并与PI控制方式比较。结果表明,所提出的仿生免疫机理的控制方案对于SVG中动态无功调节过程和对电力系统稳定性的控制作用是有效的。

The control strategy of SVG controller in outer loop based on artificial immunity arithmetic was brought forward in this paper in control technique about voltage error--reactive power in static var generator＇ s controller in allusion to complex control object of multi-dimensional and non-linear power system, Bionically simulating the immune process of human body in which the immunity system can bring excellent antibody for biting evil invasive antigen and maintain normal function, the control strategy takes voltage fluctuate as equivalence antigen and produces antibody for voltage stabilization. Output reference value of reactive power instruction in inner loop is gained by identifying voltage change factor in power system which corresponds to antigen mater in immunity system and setting model with fuzzy scheme for cell activation process with Mamdani fuzzy reasoning and gravitational and center fuzzy measure. The control scheme of simulation immune mechanism brought forward in the paper is proved effective on stability of power system through the outline parameter training of the SVG simulation controller on on power system of one generator with two close loop structurthe fault influence analysis about short circuit in triphase symmetry power system and comparison with parameter change by PI control manner.