高比例风光集群并网多时间尺度惯量协同与暂态稳定优化控制

陈锋; 路小敏; 王春红; 邹斌; 王力

doi:10.16516/j.ceec.2025-261

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高比例风光集群并网多时间尺度惯量协同与暂态稳定优化控制

新能源发电与电网支撑 | 更新时间：2026-10-14

- 高比例风光集群并网多时间尺度惯量协同与暂态稳定优化控制
- Multi-Time Scale Inertia Coordination and Transient Stability Optimization Control of High Proportion Wind-Solar Cluster Grid-Connected
- 南方能源建设 2026年13卷第4期页码：125-141
- 作者机构：
  
  1. 河南科技大学应用工程学院,河南,三门峡,472100
  2. 三门峡职业技术学院河南省有色金属新材料智能制造应用工程研究中心,河南,三门峡,472000
  3. 郑州浪潮数据技术有限公司,河南,郑州,450000
  4. 河南科技大学河南省机器人与智能系统重点实验室,河南,洛阳,471000
  5. 洛阳师范学院物理与电子信息学院,河南,洛阳,471942
- 作者简介：
  
  陈锋，1987-，男，副教授，硕士，主要从事高比例新能源新型电力系统优化运行与智能控制等研究工作（e-mail）chenfeng@smxpt.edu.cn
  路小敏，1989-，女，工程师，硕士，主要从事大数据、云计算研究工作（e-mail）703399594@qq.com
- 基金信息：
  
  河南省高等学校重点科研项目计划“‘四高四争先’驱动下中深层地热供能高效可持续开发利用关键技术研究”（26B480004）
- DOI：10.16516/j.ceec.2025-261
  中图分类号： TM37;TM712
- 纸质出版：2026
- 稿件说明：
移动端阅览
陈锋, 路小敏, 王春红, 等. 高比例风光集群并网多时间尺度惯量协同与暂态稳定优化控制[J]. 南方能源建设, 2026, 13(4): 125-141.

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陈锋, 路小敏, 王春红, 等. 高比例风光集群并网多时间尺度惯量协同与暂态稳定优化控制[J]. 南方能源建设, 2026, 13(4): 125-141. DOI： 10.16516/j.ceec.2025-261.

. DOI： 10.16516/j.ceec.2025-261.

摘要

目的

为解决高比例分布式光伏-风电集群并网引发的低惯量、弱阻尼及暂态失稳风险等问题，文章开展了多时间尺度协同惯量支撑与暂态稳定优化控制研究。

方法

通过建立光伏逆变器微秒级响应与风电机组毫秒级虚拟惯量的耦合模型，突破单一电源惯量建模局限，实现多源时间尺度匹配。构建“暂态紧急惯量支撑-动态协同阻尼调节-稳态优化调度”三级控制架构，覆盖从故障穿越到长期稳定的全周期运行场景。

结果

基于实时运行数据设计多目标优化策略，将惯量支撑成本最小化和暂态稳定性最大化作为优化目标，提升控制自适应能力。算例分析表明，所提模型可将多源惯量协同响应误差控制在5%以内，暂态稳定裕度提升20%以上，动态调节时间缩短30%。

结论

研究成果为高比例分布式新能源并网提供了“分析-控制-优化”的完整技术路径，对提升系统暂态稳定性与多时间尺度运行性能具有重要工程价值。

Abstract

Objective

To address the risks of low inertia

weak damping

and transient instability caused by the grid connection of high-proportion distributed photovoltaic (PV)-wind power clusters

this study investigates multi-time scale coordinated inertia support and transient stability optimization control.

Method

A coupling model integrating the microsecond-level response of PV inverters and the millisecond-level virtual inertia of wind turbines was established to overcome the limitations of single-source

inertia modeling and achieve multi-source time-scale matching. Furthermore

a three-level control architecture comprising "transient emergency inertia support

dynamic coordinated damping regulation

steady-state optimal dispatch" was constructed

covering full-cycle operation scenarios from fault ride-through to long-term stability.

Result

Based on real-time operation data

a multi-objective optimization strategy is designed with the objectives of minimizing inertia support costs and maximizing transient stability

thereby enhancing the adaptive capability of the control system. Case analysis demonstrates that the proposed model can limit the multi-source inertia coordinated response error to within 5%

increase the transient stability margin by over 20%

and shorten the dynamic adjustment time by 30%.

Conclusion

This study provides a complete technical pathway of 'analysis-control-optimization' for the grid integration of high-penetration distributed new energy

which holds significant engineering value for enhancing the system's transient stability and multi-time scale operational performance.

关键词

Keywords

references

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