具有双约束条件的云模型控制策略在风储联合发电系统中的应用

APPLICATION OF CLOUD MODEL CONTROL STRATEGY WITH DOUBLE CONSTRAINTS FOR WIND FARM COMBINED WITH ENERGY STORAGE SYSTEM

在一阶低通滤波器平抑风电功率方法的基础上,从风电平抑波动需求和储能自身吞吐波动能力两方面考虑,提出基于云模型理论的储能系统平抑风电功率波动的方法。该方法以风电功率的波动率和储能系统的荷电状态作为二维云模型控制器的规则前件,以低通滤波器的时间常数作为云模型控制器的规则后件,设计适于风储联合发电系统的二维云模型控制器。该方法通过调整低通滤波器的时间常数,自适应地使储能系统协调风电功率输出,在不同工况下合理地平抑风电功率波动。最后通过仿真实例验证该方法的有效性和正确性,达到合理利用储能且较好地抑制风电功率波动的控制目的。

On the basis of low-pass filter to smooth the fluctuations of wind power output, the relationships among the time constant of low-pass filter, the capacity of energy storage battery and the fluctuations of wind power were analyzed. A controller based on 2-D cloud model for energy storage system was designed to smooth the fluctuations of wind power in which the volatilities of wind power and the state of charge （SOC） of energy storage system were regarded as the premise part of the rule, the time constant of low-pass filter is as the consequent part of the rule. The time constant of low-pass filter can be adaptively regulated by the controller to meet the demand of wind power connected grid. Finally, the smoothing control method of wind power using the fixed time constant of low-pass filter was compared with the proposed method, a simulation example verifies its valid and effective on the premise of meeting the biggest volatility, which can get the optimization capacity allocation of energy storage system and thereby smooth the fluctuations of wind power.