针对风电实际功率与日前预测功率不匹配及风电不确定性给电网调度和运行增加压力等问题,提出一种以降低跟踪误差和平抑出力波动为目标的风氢耦合发电系统控制策略。该策略耦合模糊逻辑控制（FLC）算法和模型预测控制（MPC）算法,兼具FLC算法鲁棒性强、实时性好的优点和MPC算法超前优化调控的特点。首先,通过MPC对FLC的隶属度函数参数进行滚动优化;然后,将优化后的参数用于下一时刻的模糊控制器（FC）;最后,仿真结果表明FLC-MPC对风氢耦合发电系统的调控效果更优,与FLC相比,RMSE降低4.03%,最大功率波动降低23.17%,惩罚电量减少14.98%,氢储能系统持续调节能力增强11.58%。
Abstract
To mitigate the discrepancies between actual wind power output and day-ahead forecasted power, and to alleviate the heightened pressure on grid dispatch and operation caused by wind power uncertainty, a control strategy for a wind-hydrogen hybrid power generation system is introduced. This strategy aims to minimize tracking errors and smooth power output fluctuations. It integrates fuzzy logic control （FLC） and model predictive control （MPC） algorithms, leveraging the robustness and real-time benefits of FLC with the anticipatory optimization capabilities of MPC. Initially, the membership function parameters of the FLC are optimized iteratively using MPC. Subsequently, the optimized parameters are applied to the fuzzy controller （FC） in the next time step. Simulation results demonstrate that the FLC-MPC strategy significantly enhances regulation performance for the wind-hydrogen hybrid power generation system. In comparison to FLC alone, the root mean square error （RMSE） is decreased by 4.03%, maximum power fluctuation is reduced by 23.17%, penalty energy is diminished by 14.98%, and the continuous regulation capacity of the hydrogen energy storage system is improved by 11.58%.
关键词
风力发电 /
氢储能 /
模糊控制 /
模型预测控制 /
超前控制策略
Key words
wind power /
hydrogen storage /
fuzzy control /
model predictive control /
advanced control strategy
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基金
2021年度上海交通大学-国家电投“未来能源计划联合基金”
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