基于实证数据和模糊控制的多时间尺度风储耦合实时滚动平抑波动

Wind-storage coupling based on actual data and fuzzy control in multiple time scales for real-time rolling smoothing of fluctuation

风电间歇性和随机性造成并网功率波动很大,严重影响电力系统安全稳定性。基于某风电场出力实证数据,在多时间尺度上采用概率统计法研究风电波动规律和风储耦合特性;采用实时5点滚动法制定多时间尺度平抑风电波动目标,兼顾国网规定的多时间尺度风电波动限值进行目标修正,并利用储能分时跟踪平抑风电波动目标,合理确定多时间尺度储能配置容量和充放电控制策略;考虑储能经济性,采用补偿度进一步修正储能容量,并采用模糊控制原理优化荷电状态,得到储能不过充过放的优化控制策略。仿真结果表明该方法有效可行,当抑制10 min风电波动的储能容量为15%时,90%以上的风储合成出力能够跟踪平抑风电波动目标。

The intermittence and randomness of wind power causes serious fluctuation of grid-connecting power,which harmfully impacts on the security and stability of power system. Based on the actual power outputs of a wind farm,the probabilistic method is applied to research the rules of wind power fluctuation and the characteristics of wind-storage coupling in multiple time scales. The real-time 5-point rolling method is adopted to set the target of wind power fluctuation smoothing for different time scales,which are modified according to the corresponding limits stipulated by State Grid and tracked periodically using the energy storage to rationally determine the energy storage capacity configuration and charging / discharging control strategy. The compensation degree is further adopted to economically modify the energy storage capacity.The charging / discharging control strategy is improved by optimizing the state of charge with the fuzzy control principle to avoid overcharge and overdischarge. Simulative results show the proposed method effective and feasible：when the energy storage capacity configuration is 15%,more than 90% of the windstorage power output can track the smoothing target of 10 min wind power fluctuation.