基于天牛群算法的虚拟同步发电机最优控制策略研究

Study on Optimal Control Strategy of Virtual Synchronous Generator Based on Longhorn Swarm Algorithm

依据经验,人为确定虚拟同步发电机(VSG)中的虚拟惯量和阻尼参数不仅缺乏科学依据,而且对微网的稳定运行也会造成影响,降低电能质量。为了实现参数的最佳配比,以及微网能够运行在最优状况下,提出一种应用于虚拟惯量和阻尼参数优化的多目标天牛群优化算法。首先,通过理论分析了虚拟惯量和阻尼对系统频率及和电压的影响;其次,在考虑系统稳定性和暂态特性下,确定了虚拟惯量和阻尼的取值边界;最后,通过天牛群优化算法,对参数寻优获得一组符合实际需求的最优解。仿真结果表明,该算法可以有效地降低负荷发生波动时对电网的冲击和储能功率界限要求,可以在提高频率响应时间条件下维持系统频率的稳定。

Artificial determination of virtual inertia and damping parameters in virtual synchronous generator(VSG)based on experience not only lacks scientific basis,but also affects the stable operation of micro grid and reduces power quality.In order to achieve the optimal ratio of parameters,a multi-objective longhorn swarm optimization algorithm for virtual inertia and damping parameter optimization is proposed for micro grid operation under the optimal condition.The influence of virtual inertia and damping on system frequency and voltage is analyzed theoretically.Considering the stability and transient characteristics of the system,the value boundaries of virtual inertia and damping are determined,and a set of optimal solutions are obtained by longhorn swarm optimization algorithm.The simulation results show that the algorithm can effectively reduce the impact on the power grid and the limit of energy storage power when the load fluctuates,improve the frequency response time and maintain the stability of the system frequency.