多目标多工况双储能协同运行策略

针对风电场弃风严重、预测误差大和风电波动率较大等问题,提出一种计及多工况的多目标双储能协同运行策略.根据不同工况制定15 min时间尺度内的储能补偿负预测差值策略,并设定5 min时间尺度内的储能平抑风电波动策略.根据所提的不同策略设计2种运行方式.在此基础上,考虑双储能系统协同运行策略对容量配置的影响,建立以最大化补偿负预测差值和最大化平抑风电波动为目标函数的储能容量优化配置模型,采用结合遗传特征的粒子群算法进行求解.以中国新疆维吾尔自治区某50 MW风电场为例验证了所提策略的合理性及模型求解方法的有效性.

Cooperative Operation Strategy of Dual Energy Storage Under Multiple Objectives and Multiple Operation Conditions

Aiming at the problems of serious wind abandonment, large prediction error and large fluctuation rate of wind power, a cooperative operation strategy of dual energy storage considering multi-objective and multiple operation conditions is proposed. According to different operation conditions, the strategy of energy storage for compensating the negative prediction error within the time scale of 15 minutes is formulated, and the strategy of energy storage for suppressing the wind power fluctuations within the time scale of 5 minutes is set. Two operation modes are designed according to the proposed strategies. On this basis, considering the influence of the cooperative operation strategy of the dual energy storage system on capacity allocation, the optimal allocation model of energy storage capacity is established with the objective function of maximizing the compensation of negative prediction error and suppressing wind power fluctuation. The particle swarm optimization algorithm combined with genetic characteristics is used to solve the problem. A 50 MW wind farm in Xinjiang Uygur Autonomony Region of China is used to verify the rationality of the proposed strategy and the effectiveness of the model solving method.