余光正, 崔朝越, 汤波, 陆柳. 基于灵活性资源与风电协同互动可行域的鲁棒优化调度策略[J]. 现代电力. DOI: 10.19725/j.cnki.1007-2322.2023.0018
引用本文: 余光正, 崔朝越, 汤波, 陆柳. 基于灵活性资源与风电协同互动可行域的鲁棒优化调度策略[J]. 现代电力. DOI: 10.19725/j.cnki.1007-2322.2023.0018
YU Guangzheng, CUI Chaoyue, TANG Bo, LU Liu. Robust Optimal Scheduling Strategy Based on Feasible Region of Cooperative Interaction Between Flexible Resources and Wind Power[J]. Modern Electric Power. DOI: 10.19725/j.cnki.1007-2322.2023.0018
Citation: YU Guangzheng, CUI Chaoyue, TANG Bo, LU Liu. Robust Optimal Scheduling Strategy Based on Feasible Region of Cooperative Interaction Between Flexible Resources and Wind Power[J]. Modern Electric Power. DOI: 10.19725/j.cnki.1007-2322.2023.0018

基于灵活性资源与风电协同互动可行域的鲁棒优化调度策略

Robust Optimal Scheduling Strategy Based on Feasible Region of Cooperative Interaction Between Flexible Resources and Wind Power

  • 摘要: 风电高比例接入电网后其出力的随机性及波动性增加了电网中安全调度运行的决策难度。为促进风电消纳,同时降低风电不确定性对电网稳定运行的影响,提出了一种基于灵活性资源与风电协同互动可行域的鲁棒优化调度策略。首先,以储能及电动汽车作为可调节灵活性资源集合,构建可消纳风电波动范围与储能、电动汽车功率调节区间的可行域,根据系统当前运行状态为控制策略提供指导;其次,基于可行域提出一种计及风电消纳能力及调度成本最优的两阶段鲁棒优化模型,充分挖掘灵活性资源的调节能力,优化灵活性资源与风电的协同调度策略以应对系统调度中的不确定因素;最后,根据可行域形态指标修正调度策略进一步提升风电资源的消纳能力。通过IEEE39节点系统进行算例分析,验证了所提模型及方法的有效性。

     

    Abstract: The randomness and volatility of wind power output after its high proportion is connected to the power grid increases the difficulty of decision-making for safe dispatching operation in the power grid. In order to promote wind power consumption and reduce the impact of wind power uncertainty on the stable operation of power grid, this paper proposes a robust optimal scheduling strategy based on flexible resources and wind power cooperative interaction feasible region. Firstly, the energy storage and electric vehicles are used as the adjustable flexible resource set to build the feasible region of the wind power fluctuation range and the energy storage and electric vehicle power regulation range, and provide guidance for the control strategy according to the current operating state of the system; Secondly, based on the feasible region, a two-stage robust optimization model considering the optimal wind power consumption capacity and scheduling cost is proposed, which fully exploits the regulatory capacity of flexible resources and optimizes the cooperative scheduling strategy of flexible resources and wind power to deal with the uncertain factors in system scheduling; Finally, according to the feasible region shape index, the scheduling strategy is modified to further improve the wind power resource absorptive capacity. The effectiveness of the proposed model and method is verified by an example of IEEE 39 bus system.

     

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