传统虚拟同步发电机(virtual synchronous generator,VSG)的动态响应过程存在超调量与调节时间相矛盾的情况,且虚拟同步发电机控制参数选取时往往将储能侧视为理想电源,导致系统参数与储能系统的特性不相匹配.针对这种情况,结合模糊理论提出一种考虑储能系统约束的虚拟同步发电机参数协调模糊自适应控制方法,分析不同阻尼状态下虚拟同步发电机系统的动态响应,将储能系统的荷电状态(state of charge,SOC)和运行功率约束转化为转动惯量约束范围,通过模糊控制器自适应控制惯量变化,并根据合适的阻尼比协调调节虚拟阻尼,使得系统动态响应过程中系统阻尼比合理变化,从而改善传统虚拟同步发电机系统超调量与调节时间相矛盾的情况,使系统参数与储能系统特性相匹配.Matlab/Simulink仿真结果验证了所提控制策略的可行性与有效性.
Energy storage VSG parameter coordination fuzzy adaptive optimization strategy
The dynamic response process of traditional virtual synchronous generator suffers the contradiction between overshoot and adjustment time.In the selection of the control parameters of virtual synchronous generator,the energy storage is usually regarded as an ideal power supply,causing the mismatch between the system parameters and the characteristics of the energy storage system.To address the above problems,this paper proposes a virtual synchronous generator parameter coordinated fuzzy adaptive control method considering the constraints of energy storage system with fuzzy theory.By analyzing the dynamic response of virtual synchronous generator system under different damping states,the state of charge and operating power constraints of energy storage system are transformed into the constraint range of moment of inertia.The inertia change is adaptively controlled by fuzzy controller,and the virtual damping is adjusted according to the appropriate damping ratio,so that the damping ratio of the system is kept within a reasonable range of change during the dynamic response of the system.The contradiction between the overshoot and the adjustment time of the traditional virtual synchronous generator system is thus addressed and the system parameters match the characteristics of the energy storage system.Finally,the feasibility and effectiveness of the proposed control strategy are verified in the Matlab/Simulink simulation environment.
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