【摘要】 随着风电机组在电力系统中渗透水平的不断提升，其波动性和间歇性特点导致电力系统调频负担不断增大，本研究基于电池储能的风电场一次调频控制策略。首先，针对传统惯量控制中虚拟惯量系数和下垂系数固定可能出现惯量支撑与系统需求不匹配的问题，研究基于模糊控制的自适应综合调频控制策略，通过实时调整虚拟下垂和惯性系数，提升系统的响应特性。在此基础上，为改善传统比例积分控制下系统的动态响应性能，研究功率的非线性自抗扰(non-linear active disturbance rejection control,NL-ADRC)控制策略，并通过粒子群优化算法对NL-ADRC的控制参数进行寻优，实现NL-ADRC参数的最优配置，从而减小频率波动。仿真与实验结果表明，本工作所提策略能够减小系统频率波动使系统频率更快达到稳定状态。更多还原

【Abstract】 With the continuous improvement of the penetration of wind turbines in the power system, its variable and intermittent characteristics lead to an increase in the frequency regulation burden of the power system. This paper studies the primary frequency regulation strategy of wind farms based on battery energy storage system. Firstly, aiming at the problem that the fixed virtual inertia and droop coefficients in the traditional control may lead to the mismatch between the inertia support and the system demand, the adaptive integrated frequency regulation strategy based on fuzzy control is studied. By adjusting the virtual droop and inertia coefficient in real time, the response characteristics of the system are improved. In order to improve the dynamic response performance of the system under traditional proportional integral control, the nonlinear active disturbance rejection control(non-linear active disturbance rejection control, NL-ADRC) is studied to control power. The control parameters of NL-ADRC are optimized by particle swarm optimization algorithm to realize the optimal configuration of NL-ADRC parameters, so as to reduce the frequency fluctuation. The simulation and experimental results show that the proposed strategy can reduce the system frequency fluctuation and enable the system frequency to reach the steady state faster.更多还原