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电池储能跟踪发电计划及平抑风电波动的多目标优化控制
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Multi-objective Optimal Control of Battery Energy Storage Tracking Power Generation Plan and Stabilizing Wind Power Fluctuation
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    摘要:

    针对风电并网问题,综合考虑并网发电误差、时段功率波动和电池荷电状态,提出了一种电池储能补偿发电计划曲线误差及平抑风功率波动的多目标优化控制策略.首先,通过分析风储联合发电特性,建立包含多项考核指标的评价体系,并构建电池储能系统输出功率的多目标优化控制模型;然后,结合NSGA-Ⅱ智能优化算法及模糊综合评价方法对多目标优化控制模型进行求解和决策,实时优化电池储能系统的输出功率指令;最后,基于某风电站的实测发电数据进行对比仿真,验证所提出的多目标优化控制策略能够在有效提高跟踪发电计划曲线的能力、降低风功率频繁波动的前提下,通过优化电池储能系统有功出力及荷电状态来延长储能电池的使用寿命.

    Abstract:

    Because of the problem of wind power grid connection, and comprehensively considering the grid-connected power error, period power fluctuation, and battery state of charge, this paper proposes a multi-objective optimal control strategy for the battery energy storage to compensate for the generation plan curve error and stabilize the wind power fluctuation. Firstly, by analyzing the characteristics of the wind storage combined system, an evaluation system with multiple evaluation indexes is established, and a multi-objective optimal control model of the output of the battery energy storage is constructed. Then, combined with the NSGA-Ⅱ algorithm and fuzzy comprehensive evaluation, the multi-objective optimal control model is solved and decided, and the output power command of the battery energy storage system is optimized in real-time. Finally, based on the measured power generation data of a wind power station, the comparative simulation verifies that the proposed multi-objective optimal control strategy can effectively improve the ability to track the power generation plan curve and reduce the frequent fluctuation of wind power and improve the service life of the energy storage battery by optimizing the active output and charge state of the battery energy storage system.

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LUO Longfu, PANG Tao?,LI Yong, LIU Xiaodan, TIAN Ye, YU Xuan.电池储能跟踪发电计划及平抑风电波动的多目标优化控制[J].湖南大学学报:自然科学版,2023,(10):1~10

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  • 在线发布日期: 2023-11-13
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