基于佳点集-t分布变异的麻雀算法VSG控制策略研究

Research on VSG Control Strategy Based on Improved Sparrow Optimization Algorithm Using Good-point Set and t-distribution

为进一步优化虚拟同步发电机在给定有功扰动或电网频率突变扰动时存在的问题,提出了一种基于佳点集-t分布变异的麻雀算法VSG控制策略,该策略采用佳点集对麻雀种群进行初始化,引入正态分布修改发现者位置更新公式,并在麻雀个体位置更新后加入自适应t分布变异策略,利用测试函数验证了ISSA算法具有良好寻优能力。在VSG控制单元中引入ISSA算法,对VSG系统参数进行优化,获得一组符合需求的最优解。利用Simulink对比仿真常规VSG控制策略、SSA优化下的VSG和ISSA优化下的VSG控制策略,验证了当系统出现扰动时,该控制策略对于频率和有功功率振荡均有较好的抑制效果,且相对于另外两种控制策略,在响应速度、超调量、稳定性等方面的表现更优。

In order to further optimize the problems existing in virtual synchronous generator when given active power disturbance or power grid frequency mutation disturbance,an improved sparrow algorithm VSG control strategy based on good-point set and t-distribution was proposed.The strategy used the good-point set to initialize the sparrow population,introduced the normal distribution to modify the discoverer position update formula,and added the adaptive t-distribution variation strategy after the sparrow individual position update.The test function was used to verify that the ISSA algorithm had good optimization ability.ISSA algorithm was introduced into VSG control unit to optimize VSG system parameters and obtain a set of optimal solutions that met the requirements.Simulink was used to simulate and compare the conventional VSG control strategy,VSG under SSA optimization and VSG under ISSA optimization,verifying that when disturbance occured in the system,the control strategy had a good suppression effect on frequency and active power oscillation,and compared with the other two control strategies,It had better performance in response speed,overshoot and stability.