易文飞, 司鑫尧, 陈庆, 刘海涛, 季宇, 熊雄, 潘狄, 金国彬. 直流用电分区内自适应时间尺度能量优化预测控制[J]. 中国电力, 2021, 54(10): 97-103. DOI: 10.11930/j.issn.1004-9649.202011055
引用本文: 易文飞, 司鑫尧, 陈庆, 刘海涛, 季宇, 熊雄, 潘狄, 金国彬. 直流用电分区内自适应时间尺度能量优化预测控制[J]. 中国电力, 2021, 54(10): 97-103. DOI: 10.11930/j.issn.1004-9649.202011055
YI Wenfei, SI Xinyao, CHEN Qing, LIU Haitao, JI Yu, XIONG Xiong, PAN Di, JIN Guobin. Adaptive Timescale Energy Optimal Predictive Control in DC Power Consumption Zone[J]. Electric Power, 2021, 54(10): 97-103. DOI: 10.11930/j.issn.1004-9649.202011055
Citation: YI Wenfei, SI Xinyao, CHEN Qing, LIU Haitao, JI Yu, XIONG Xiong, PAN Di, JIN Guobin. Adaptive Timescale Energy Optimal Predictive Control in DC Power Consumption Zone[J]. Electric Power, 2021, 54(10): 97-103. DOI: 10.11930/j.issn.1004-9649.202011055

直流用电分区内自适应时间尺度能量优化预测控制

Adaptive Timescale Energy Optimal Predictive Control in DC Power Consumption Zone

  • 摘要: 整合新能源发电、储能、柔性负荷并联运行的直流配电网用电终端是直流配电网优化运行的重要执行环节。针对固定的能量优化执行时间尺度存在的局限性,提出一种含灵活调控单元的直流用电分区内自适应时间尺度能量优化预测控制。该方法基于间歇式电源在直流用电分区内的电源出力占比自适应调整能量优化执行时间尺度;同时,综合上级直流配电网优化指令,基于无模型自适应预测控制实现直流用电分区内自适应时间尺度能量优化预测执行控制。仿真结果表明:提出的能量优化预测控制方法可以实现执行时间尺度的自适应调整;在灵活调控单元充裕条件下,可实现上级直流配电网能量优化调度指令的快速、准确跟踪执行。

     

    Abstract: The integration of new energy generation, energy storage and flexible load parallel operation of the power terminal is an important part of DC distribution network optimal operation. In view of the limitations of the fixed energy optimization execution timescale, an adaptive timescale energy optimal predictive control in the DC power consumption zone with flexible dispatching units is proposed. The method is based on the adaptive adjustment of the energy output time scale of the power output ratio of the intermittent power supply in the DC power partition. At the same time, the lower-level comprehensive upper-level DC distribution network optimization instructions which are based on model free adaptive predictive control to achieve adaptive timescale energy optimal predictive control in the DC power consumption zone. The simulation results show that the proposed energy optimal predictive control method can realize the adaptive adjustment of the execution timescale, and under the condition that the flexible dispatching units are abundant, else and it can realize the fast and accurate tracking and execution of the energy optimal dispatching instruction of the superior DC distribution network.

     

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