路朋, 陈思捷, 张宁, 叶林, 王程, 杜尔顺, 汤涌. 计及区间预测信息的含风电电力系统有功多时间尺度协调调度优化方法[J]. 中国电机工程学报, 2024, 44(16): 6263-6277. DOI: 10.13334/j.0258-8013.pcsee.231639
引用本文: 路朋, 陈思捷, 张宁, 叶林, 王程, 杜尔顺, 汤涌. 计及区间预测信息的含风电电力系统有功多时间尺度协调调度优化方法[J]. 中国电机工程学报, 2024, 44(16): 6263-6277. DOI: 10.13334/j.0258-8013.pcsee.231639
LU Peng, CHEN Sijie, ZHANG Ning, YE Lin, WANH Cheng, DU Ershun, TANG Yong. Multi-time Scale Coordinated Dispatch Optimization Method for Power System With Large-scale Wind Power Grid-integrated Based on Interval Prediction[J]. Proceedings of the CSEE, 2024, 44(16): 6263-6277. DOI: 10.13334/j.0258-8013.pcsee.231639
Citation: LU Peng, CHEN Sijie, ZHANG Ning, YE Lin, WANH Cheng, DU Ershun, TANG Yong. Multi-time Scale Coordinated Dispatch Optimization Method for Power System With Large-scale Wind Power Grid-integrated Based on Interval Prediction[J]. Proceedings of the CSEE, 2024, 44(16): 6263-6277. DOI: 10.13334/j.0258-8013.pcsee.231639

计及区间预测信息的含风电电力系统有功多时间尺度协调调度优化方法

Multi-time Scale Coordinated Dispatch Optimization Method for Power System With Large-scale Wind Power Grid-integrated Based on Interval Prediction

  • 摘要: 间歇性、集群式的风电并入大电网将会增加输电断面功率越限风险,将点预测信息纳入含风电的电力系统调度将不可避免出现“过调度”和“欠调度”。为此,该文提出计及区间预测信息的含风电电力系统有功多时间尺度协调调度优化方法。首先,利用点模型及其预测误差分布构建风电功率区间预测模型;其次,建立具有区间预测信息的风电场有功功率动态分群策略;再次,构建风电集群和自动发电控制(automatic generation control,AGC)机组与非AGC机组等多时间尺度协调的调度策略,通过滚动优化和反馈校正环节协调日前-日内以及实时调度;最后,采用实际风电集群有功功率数据和改进的IEEE-118节点标准测试系统验证所提方法的有效性。研究表明,所提方法不仅可以合理协调风电集群内各个风电场输出功率,还可以协调风电集群功率和AGC机组与非AGC之间的输出功率,有效解决了调度指令与实际输出功率不协调问题。

     

    Abstract: The integration of intermittent, clustered wind power into the grid will increase the risk of the over-limit power transmission sections, and the incorporation of point prediction information into the dispatch of power systems containing wind power will inevitably result in "over-dispatch" and "under-dispatch". Therefore, a multi-timescale coordinated dispatch approach of wind power cluster based on interval model prediction control is proposed. First, a wind power interval prediction model is developed via using the point prediction model and its prediction error distribution. Second, a wind farm power dynamic grouping strategy with interval prediction information is established. Then, a multi-timescale coordinated dispatch strategy for wind power clusters and automatic generation control (AGC) units and non-AGC units is proposed. Finally, the effectiveness of the proposed method is verified by using actual wind power cluster data and a modified IEEE-118 standard test system. The results show that the proposed method could reasonably coordinate the individual wind power output and the output power of the wind power cluster, AGC units and non-AGC units.

     

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