基于机组状态分类的风电场有功功率控制策略
An Active Power Control Scheme for Wind Farms Based on State Classification Algorithm
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摘要: 为了减小大规模风电场并网对电网带来的不利影响,风电场发电功率能按要求进行调节已经成为强制性要求。风电场内风力资源的随机性及风电机组的不同状况,导致同一时间段内不同机组发电能力并不相同。针对以上情况,给出了一种基于机组运行状态分类的风电场有功功率控制策略。根据对风电场下一功率控制周期的各机组预测功率及机组自身运行状况进行分类,按不同类机组升降功率的能力不同进行控制,从而实现整个风电场有功功率控制的准确性和平稳性。最后,将所提出功率控制策略应用到实际风电场功率控制中,验证了该策略的有效性。Abstract: Active power regulation in a wind farm has become a fundamental requirement to mitigate the adverse effect on grid.Wind turbines even in a same wind farm have different generating capability due to the wind speed variations and operation conditions.An active power control scheme based on the state classification algorithm is presented.According to the estimated power in next power control cycle and operation status,the wind turbines are classified into different sets with different power adjusting margin.By this way,the whole wind farm active power control goal can be reached accurately and stably.Finally,the power control is applied to the actual power control in wind farms to verify the method.
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