张智, 周明, 朱凌志, 王智冬, 刘斯伟, 郭尊. 风电场协同参与的电力系统发电–备用鲁棒优化运行方法[J]. 电网技术, 2022, 46(4): 1316-1325. DOI: 10.13335/j.1000-3673.pst.2021.0544
引用本文: 张智, 周明, 朱凌志, 王智冬, 刘斯伟, 郭尊. 风电场协同参与的电力系统发电–备用鲁棒优化运行方法[J]. 电网技术, 2022, 46(4): 1316-1325. DOI: 10.13335/j.1000-3673.pst.2021.0544
ZHANG Zhi, ZHOU Ming, ZHU Lingzhi, WANG Zhidong, LIU Siwei, GUO Zun. Robust Optimal Operation Method of Wind Farms Synergetic Participation in Generation-reserve in Power Systems[J]. Power System Technology, 2022, 46(4): 1316-1325. DOI: 10.13335/j.1000-3673.pst.2021.0544
Citation: ZHANG Zhi, ZHOU Ming, ZHU Lingzhi, WANG Zhidong, LIU Siwei, GUO Zun. Robust Optimal Operation Method of Wind Farms Synergetic Participation in Generation-reserve in Power Systems[J]. Power System Technology, 2022, 46(4): 1316-1325. DOI: 10.13335/j.1000-3673.pst.2021.0544

风电场协同参与的电力系统发电–备用鲁棒优化运行方法

Robust Optimal Operation Method of Wind Farms Synergetic Participation in Generation-reserve in Power Systems

  • 摘要: 随着风能等波动性新能源发电逐步成为主力电源,完全依靠常规电源来平衡风电出力的不确定性和波动性已难以保证系统的灵活安全运行。提出风电场协同参与发电–备用的鲁棒优化模型及方法以实现高比例新能源电力系统灵活运行。首先,考虑风电场尾流效应,建立了随风机并网状态变化的风电场出力可变不确定集合;基于风机及风场运行特点,提出了结合风机降载运行和快速并网的风电备用模型。进一步,建立了考虑网络约束的风电场与系统协同发电–备用两阶段鲁棒优化模型。然后,采用列约束生成(column constraint generation,C & CG)算法对模型进行求解,给出满足预测场景和不确定场景下系统运行约束的风电场和常规机组的发电–备用调度决策。通过对改进的IEEE RTS-24系统和西北电网的实例分析,证明了风电提供备用的经济可行性,验证了所提模型的有效性。

     

    Abstract: With wind energy and other volatile new energy generation having gradually become the main power source, it is difficult to ensure the flexible and secure operation of power systems by relying completely on the conventional power supply to balance the uncertainty and volatility of wind power. In this paper, a robust optimal model and method for wind farm synergetic participation in generation-reserve are proposed to realize the flexible operation of the system with a high share of new energy. Firstly, considering the wake effect of wind farms, the variable uncertainty set of wind power output with the change of wind turbines grid connected state is established; Based on the operation characteristics of wind turbines and wind farms, a wind power reserve model is proposed, which combines the de-loading operation of wind turbines and the wind turbine fast grid-connection. Furthermore, a two-stage robust optimization model considering network constraints for the synergetic operation of wind farms and the system is established. Then, the column constraint generation (C & CG) algorithm is used to solve the proposed model, and the generation-reserve decisions of wind farms and conventional units satisfying the system operation constraints under the forecasting and uncertain scenarios are given. Case analysis on the modified IEEE RTS-24 system and northwest power grid in China prove the economic viability of providing reserve via wind power, demonstrating the effectiveness of the proposed model.

     

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