基于送端电网功角稳定的可再生能源发电优化控制方法

赵峰; 曾兵; 谭贝斯; 陈骁; 李智; 张文朝

doi:10.19912/j.0254-0096.tynxb.2025-0619

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太阳能学报 ›› 2026, Vol. 47 ›› Issue (8) : 479-486. DOI: 10.19912/j.0254-0096.tynxb.2025-0619

基于送端电网功角稳定的可再生能源发电优化控制方法

赵峰¹, 曾兵¹, 谭贝斯¹, 陈骁¹, 李智², 张文朝²

作者信息 +

OPTIMAL CONTROL METHOD OF RENEWABLE ENERGY GENERATION BASED ON POWER ANGLE STABILITY OF SENDING-END POWER GRID

Zhao Feng¹, Zeng Bing¹, Tan Beisi¹, Chen Xiao¹, Li Zhi², Zhang Wenchao²

Author information +

文章历史 +

摘要

为提升送端电网的功角及电压稳定性,首先建立新能源发电外送端系统模型,进行基于送端电网稳定的新能源出力优化;其次分析扰动情况下系统功角及电压变化,建立新能源发电虚拟功角模型;然后建立基于能量波动的功角稳定控制模型,分析送端电网能量波动对功角稳定的影响;最后以功角偏差最小及送端电网暂态稳定裕度最大为目标,采用基于神经网络的多目标优化算法进行计算,并通过仿真验证所提方法的有效性。

Abstract

In order to improve the power angle and voltage stability of the sending end power grid, this paper first establishes the model of the external sending end system of new energy power generation, and optimizes the new energy output based on the stability of the sending end power grid. Secondly, the system power angle and voltage change under disturbance are analyzed, and the virtual power angle model of new energy power generation is established. Then, a power angle stability control model based on energy fluctuation is established to analyze the influence of energy fluctuation on power angle stability. Finally, aiming at the minimum power angle deviation and the maximum transient stability margin of the sending end power grid, the multi-objective optimization algorithm based on neural network is used to calculate, and the effectiveness of the proposed method is verified by simulation.

导出引用

赵峰, 曾兵, 谭贝斯, 陈骁, 李智, 张文朝. 基于送端电网功角稳定的可再生能源发电优化控制方法[J]. 太阳能学报. 2026, 47(8): 479-486 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0619

Zhao Feng, Zeng Bing, Tan Beisi, Chen Xiao, Li Zhi, Zhang Wenchao. OPTIMAL CONTROL METHOD OF RENEWABLE ENERGY GENERATION BASED ON POWER ANGLE STABILITY OF SENDING-END POWER GRID[J]. Acta Energiae Solaris Sinica. 2026, 47(8): 479-486 https://doi.org/10.19912/j.0254-0096.tynxb.2025-0619

中图分类号： TM76

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