Generation-transmission-load Coordinative Expansion Planning Considering Node Inertia Vulnerability Assessment

Lan ZHU; Nianhang QIU; Xuehan ZHANG

doi:10.19725/j.cnki.1007-2322.2023.0066

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Generation-transmission-load Coordinative Expansion Planning Considering Node Inertia Vulnerability Assessment

New Energy Power System | 更新时间：2025-10-13

- Generation-transmission-load Coordinative Expansion Planning Considering Node Inertia Vulnerability Assessment
- Modern Electric Power Vol. 42, Issue 2, Pages: 209-219(2025)
- 作者机构：
  
  上海电力大学电气工程学院, 上海市杨浦区200090
- 作者简介：
- 基金信息：
- DOI：10.19725/j.cnki.1007-2322.2023.0066
  CLC： TM73
- Received：01 March 2023，
  
  Accepted：09 January 2024，
  
  Published：10 April 2025
- 稿件说明：
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Lan ZHU, Nianhang QIU, Xuehan ZHANG. Generation-transmission-load Coordinative Expansion Planning Considering Node Inertia Vulnerability Assessment[J]. Modern electric power, 2025, 42(2): 209-219.
DOI：

Lan ZHU, Nianhang QIU, Xuehan ZHANG. Generation-transmission-load Coordinative Expansion Planning Considering Node Inertia Vulnerability Assessment[J]. Modern electric power, 2025, 42(2): 209-219. DOI： 10.19725/j.cnki.1007-2322.2023.0066.

摘要

高比例新能源电力系统中，惯性资源不足及分布不合理是导致频率安全事件初期频率下降过快的重要因素。为提高系统整体建设效益，保障系统运行阶段惯量响应能力，需要在规划时考虑源网荷侧资源对系统惯量支撑能力的影响。该文对传统有序聚类算法进行改进，提出基于综合类直径的改进负荷–新能源场景缩减聚类算法；提出节点惯量薄弱性评估方法，利用初始扰动功率概率分布特征及电网信息对节点惯量支撑能力进行评估；综合源网荷侧资源，建立一种计及节点惯量薄弱性评估的源网荷协调扩展规划模型，并进行优化求解。算例分析表明，所提方法能够有效辨识惯量薄弱节点，优化惯量资源位置及网络结构，提高系统频率安全，协调源网荷侧资源降低总规划成本。

Abstract

The frequency safety issue of the power system is becoming increasingly evident under the high proportion of new energy access. In the initial stage of the disturbance

insufficient inertial resources or unreasonable distribution may lead to a rapid drop in frequency

which is an important factor affecting the frequency safety. To improve the overall construction efficiency of the system and ensure its inertia response capability during operation

it is necessary to consider the influence of the source

network and load side resources on the system’s inertia support capability of the system during planning. In this paper

a node inertia vulnerability assessment method is proposed

which utilizing the characteristics of initial disturbance power probability distribution and power grid information to evaluate the node inertia support capacity. The traditional ordered clustering algorithm has been improved

and a refined clustering method for load-new energy scenario reduction based on comprehensive class diameter is proposed. Meanwhile

a method for vulnerability evaluation of node inertia is proposed

utilizing the initial disturbance power probability distribution characteristics and network information to evaluate the node inertia support capability. By integrating generation-transmission-load side resources

a generation-transmission-load collaborative planning model is established and its solution process is designed for optimal solution. Finally

the validity of the model is verified through examples

and the influence of inertial constraints on the system planning results is discussed.

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references

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