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基于超级电容储能与自适应功率预测模型的电梯制动能量回收系统并网功率优化控制 被引量:20

Power Optimal Control of Elevator Brake Energy Recovery System Based on Super-Capacitor Energy Storage and Adaptive Power-Prediction Model
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摘要 针对电梯制动能量回收系统功率波动会影响电能质量的问题,提出了一种基于超级电容储能与自适应功率预测模型的恒功率并网变流器控制系统。该系统通过功率模型预测出每个运行周期系统的并网平均功率,同时在线自适应地调整模型参数;然后在四象限电压型变流器与超级电容模块配合工作的情况下,以恒定的功率从电网吸收或者向电网回馈能量,从而有效提高了微网的电能质量、降低了四象限电压型变流器的功率等级。仿真与实验结果验证了该装置可以有效地减少网侧功率波动,通过对实验数据作FFT分析显示,网侧功率在0.01Hz~1Hz敏感频段的波动减少了75.7%。 In order to eliminate the grid-connected power fluctuation of an elevator brake energy recovery system, a novel grid-connected converter system is proposed. The drive power is predicted by the adaptive power-prediction model with parameters online adjustment. After that, the four-quadrant voltage type grid-connected converter feeds back the energy or consumes it with a constant power, based on the super capacitor energy storage. Therefore, the power quality is improved greatly. The effectiveness of the device and control strategy is validated by simulation and experiment results. FFT analysis of experiment data shows that, about 75.7% of power fluctuation within 0.01Hz to 1Hz is reduced.
出处 《电工技术学报》 EI CSCD 北大核心 2013年第9期205-213,共9页 Transactions of China Electrotechnical Society
关键词 能量回收 超级电容储能 功率预测模型 参数自适应 恒功率并网变流器 电能 质量 Energy recovery, super capacitor energy storage, power-prediction model, parameteradaptive, constant power grid-connected converter, power quality
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