基于元启发式算法的新能源电力系统振荡稳定性最差工况搜索方法

doi:10.11930/j.issn.1004-9649.202404131

中国电力 ›› 2025, Vol. 58 ›› Issue (3): 65-72.DOI: 10.11930/j.issn.1004-9649.202404131

• 高比例新能源接入电网的协调控制与优化运行 • 上一篇下一篇

基于元启发式算法的新能源电力系统振荡稳定性最差工况搜索方法

汪林光¹(), 李旭涛²(), 任勇²(), 谢小荣¹()

1. 新型电力系统运行与控制全国重点实验室（清华大学），北京　100084
2. 国网宁夏电力有限公司电力科学研究院，宁夏银川　750002

收稿日期:2024-04-28 出版日期:2025-03-28 发布日期:2025-03-26
作者简介:
汪林光（1999），男，通信作者，博士研究生，从事电力系统稳定分析技术研究，E-mail：wlg20@mails.tsinghua.edu.cn
李旭涛（1988），男，硕士，工程师，从事新能源、多直流系统仿真与分析技术研究，E-mail：lee_abner@126.com
任勇（1989），男，博士，工程师，从事电力系统分析研究，E-mail：visayw@126.com
谢小荣（1975），男，博士，教授，博士生导师，从事电力系统次同步振荡分析与抑制技术研究，E-mail：xiexr@tsinghua.edu.cn
基金资助:
国网宁夏电力有限公司科技项目（高占比新能源电力系统宽频振荡风险评估技术研究及应用，5229DK230001）。

A Searching Method for the Worst Operating Condition of Oscillatory Stability in New Energy Systems Based on Metaheuristic Algorithm

Linguang WANG¹(), Xutao LI²(), Yong REN²(), Xiaorong XIE¹()

1. State Key Laboratory of Power System Operation and Control (Tsinghua University), Beijing 100084, China
2. Electric Power Research Institute, State Grid Ningxia Electric Power Co., Ltd., Yinchuan 750002, China

Received:2024-04-28 Online:2025-03-28 Published:2025-03-26
Supported by:
This work is supported by Science and Technology Project of State Grid Ningxia Electric Power Co., Ltd. (Research and Application of Wide-Band Oscillation Risk Assessment Technology for Power System with High Penetration of Renewables, No.5229DK230001).

摘要/Abstract

摘要：

随着新能源的广泛接入，由电力电子设备与电网间相互作用引发的振荡问题日益凸显。在电力系统运行规划过程中，需要对恶劣工况下系统振荡风险展开评估。因而如何找到最恶劣工况，成为亟待解决的关键问题。提出了一种基于元启发式算法的新能源电力系统振荡稳定性最差工况搜索方法。根据所研究的系统选择工况变量，采用对数导数法构建振荡稳定性分析函数，选择元启发式算法并辨识系统振荡最差工况，最后，根据系统振荡最差工况分析系统振荡风险。将该方法应用于某实际大规模风电接入系统，计算得到该系统的振荡最差工况并评估了系统振荡风险。

关键词: 新能源并网, 振荡风险评估, 最差工况搜索, 元启发式算法

Abstract:

With the massive integration of new energy, the oscillation problem caused by the interaction between power electronics devices and the grid is becoming prominent. In the planning and operation stage of power system, it is necessary to assess the risk of system oscillation and analyze this risk under severe operating conditions. Therefore, how to search the worst operating conditions has become a key problem to solve. In this paper, an oscillatory worst condition search method is proposed based on metaheuristic algorithm. In this method, the operating condition variables are first selected in according with the system. Then, an oscillation stability analysis function is constructed based on logarithmic derivative method. After that, metaheuristic algorithm is selected to identify the worst operating condition of oscillatory stability. Finally, the risk of system oscillation is analyzed according to the worst operating condition. This method is applied to an actual large-scale wind power integration system, resulting in the worst operating condition is calculated and the risk of system oscillation is evaluated.

Key words: new energy integration, oscillation risk assessment, worst operating condition search, metaheuristic algorithm

汪林光, 李旭涛, 任勇, 谢小荣. 基于元启发式算法的新能源电力系统振荡稳定性最差工况搜索方法[J]. 中国电力, 2025, 58(3): 65-72.

Linguang WANG, Xutao LI, Yong REN, Xiaorong XIE. A Searching Method for the Worst Operating Condition of Oscillatory Stability in New Energy Systems Based on Metaheuristic Algorithm[J]. Electric Power, 2025, 58(3): 65-72.

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链接本文: https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202404131

https://www.electricpower.com.cn/CN/Y2025/V58/I3/65

图/表 8

图 1 基于粒子群算法的振荡稳定性最差工况搜索

Fig.1 The search process for worst operating condition in oscillation stability based on PSO

图 2 大规模风电接入系统

Fig.2 Large-scale wind integration system

图 3 粒子群算法迭代过程

Fig.3 Iteration process in PSO

图 4 有功功率为0.100 p.u.时的对数导数曲线

Fig.4 Logarithmic derivative curve when P is 0.100 p.u.

图 5 有功功率为0.434 p.u.时的对数导数曲线

Fig.5 Logarithmic derivative curve when P is 0.434 p.u.

图 6 有功功率为1.000 p.u.时的对数导数曲线

Fig.6 Logarithmic derivative curve when P is 1.000 p.u.

图 7 风电场输出电流波形

Fig.7 Output current waveform of the wind farm

图 8 次/超同步频段风电场输出电流频谱

Fig.8 Wind farm output current sub-/ super- synchronous band spectrum

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基于元启发式算法的新能源电力系统振荡稳定性最差工况搜索方法

A Searching Method for the Worst Operating Condition of Oscillatory Stability in New Energy Systems Based on Metaheuristic Algorithm

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基于元启发式算法的新能源电力系统振荡稳定性最差工况搜索方法

A Searching Method for the Worst Operating Condition of Oscillatory Stability in New Energy Systems Based on Metaheuristic Algorithm

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