| 引用本文: | 郑弘奇,江岳文,邹舒瑾,李哲.考虑抑制海上风电超短期预测偏差引发电压越限的无功调整降损优化决策[J].电力自动化设备,2025,45(5):84-92，109. |
| ZHENG Hongqi,JIANG Yuewen,ZOU Shujin,LI Zhe.Optimization decision of reactive power adjustment for loss reduction considering suppression of voltage over-limit caused by ultra-short-term forecast deviation of offshore wind power[J].Electric Power Automation Equipment,2025,45(5):84-92，109. |
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| 摘要: |
| 为了解决传统无功优化模型所得最优决策难以适应实际调度中风电功率超短期预测偏差引起的电压越限问题，提出一种考虑海上风电超短期预测偏差的无功调整降损策略。为了评估有功出力预测偏差下有电压越限风险的节点和电压波动范围，基于高斯混合模型和线性化潮流方程获取电压偏差概率密度函数。基于此，结合有功出力预测偏差对电压的影响机理，建立基于某一风险节点规模影响因子下风险节点最大电压偏差缩减相应风电机组无功优化范围的无功调整降损优化模型，提高无功调整降损策略的安全经济性。以某一实际91节点海上风电场为算例进行仿真分析，验证所提方法能够最大限度地避免高额的电压越限惩罚费用，同时获得较高的无功调整降损收益。 |
| 关键词: 海上风电 有功降损 无功优化 电压偏差 超短期预测偏差 |
| DOI：10.16081/j.epae.202412011 |
| 分类号:TM614 |
| 基金项目:国家自然科学基金资助项目(62403136) |
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| Optimization decision of reactive power adjustment for loss reduction considering suppression of voltage over-limit caused by ultra-short-term forecast deviation of offshore wind power |
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ZHENG Hongqi1, JIANG Yuewen1,2, ZOU Shujin1, LI Zhe3
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1.College of Electrical Engineering and Automation, Fuzhou University, Fuzhou 350108, China;2.Fujian Province University Engineering Research Center of Smart Distribution Grid Equipment, Fuzhou 350108, China;3.North China Electric Power Test and Research Institute of China Datang Group Science and Technology Research Institute Co.,Ltd.,Beijing 100043, China
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| Abstract: |
| In order to solve the problem that the optimal decision obtained by the traditional reactive power optimization model is difficult to adapt to the voltage over-limit caused by the ultra-short-term forecast deviation of wind power in the actual scheduling, a reactive power adjustment strategy for loss reduction considering the ultra-short-term forecast deviation of offshore wind power is proposed. The probability density function of voltage deviation is obtained based on Gaussian mixture model and linearized power flow equation in order to evaluate the nodes with the risk of voltage over-limit and the voltage fluctuation range under the forecast deviation of active power output. Based on this, combined with the influence mechanism of the forecast deviation of active power output on voltage, an optimization model of reactive power adjustment for loss reduction is established to reduce the reactive power optimization range of the corresponding wind turbines based on the maximum voltage deviation of the risk node under the influence factor of a certain risk node, so as to improve the safety and economy of the reactive power adjustment strategy for loss reduction. A real 91-bus offshore wind farm is taken as a simulation example to verify that the proposed method can avoid high voltage over-limit penalty costs to the maximum extent, and obtain high loss reduction benefits by reactive power adjustment. |
| Key words: offshore wind power active power loss reduction reactive power optimization voltage deviation ultra-short-term forecast deviation |
