计及柔性负荷资源的分布式智能电网安全域建模

SHI Xuntao; SUN Jian; XIAO Xiaobing; KE Qingpai; QIU Yangxin; YANG Hao; TAN Ying

doi:10.19783/j.cnki.pspc.241352

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计及柔性负荷资源的分布式智能电网安全域建模

更新时间：2026-01-21

- 计及柔性负荷资源的分布式智能电网安全域建模
- Power System Protection and Control Issue 20, (2025)
- 作者机构：
  
  1. 1.华南理工大学电力学院,广东,广州,510640
  2. 南方电网科学研究院有限责任公司,广东,广州,510663
  3. 中国南方电网有限责任公司,广东,广州,510663
- 作者简介：
- 基金信息：
- DOI：10.19783/j.cnki.pspc.241352
  CLC：
- Published：2025
- 稿件说明：
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SHI Xuntao, SUN Jian, XIAO Xiaobing, et al. 计及柔性负荷资源的分布式智能电网安全域建模[J]. Power System Protection and Control, 2025, (20).
DOI：

SHI Xuntao, SUN Jian, XIAO Xiaobing, et al. 计及柔性负荷资源的分布式智能电网安全域建模[J]. Power System Protection and Control, 2025, (20). DOI： 10.19783/j.cnki.pspc.241352.

摘要

随着新能源(renewable energy resource

RES)和柔性负荷(flexible load

FL)资源渗透率的不断提高，其在参与中低压配电网安全性调控方面的潜力日益凸显。因此，考虑新能源出力极端态和柔性负荷的影响，提出了计及RES和FL的分布式智能电网安全域(distributed smart grid security region

DSG-SR)计算模型。首先，分析RES和FL的运行特点并给出相应的数学表达式，讨论了系统的正常运行约束与安全性。其次，将RES和FL运行模式作为状态变量，并考虑新能源极端态出力场景及FL的响应成本约束，建立DSG-SR模型。最后，以二维截面图的形式展现DSG-SR的应用，揭示RES和FL对DSG-SR的作用机理。所提模型可作为分布式智能电网安全分析的实用工具，为含高比例新能源与柔性负荷的台区级分布式智能电网安全稳定运行以及电力市场机制设计提供关键的技术支撑。

Abstract

With the increasing penetration of renewable energy resources (RES) and flexible loads (FL)

their potential in enhancing the security regulation of MV/LV distribution systems has become increasingly evident. Considering the impacts of extreme renewable energy output conditions and flexible load behaviors

this paper proposes a distributed smart grid security region (DSG-SR) model that incorporates RES and FL. First

the operational characteristics of RES and FL are analyzed

and their corresponding mathematical equations are established

followed by discussions on constraints related to normal operation and security. Next

treating the operational modes of RES and FL as state variables

a DSG-SR model is established considering the extreme output scenarios of RESs and the FL response cost constraints. Finally

the application of the DSG-SR model is illustrated through two-dimensional cross-sectional plots

revealing the mechanism by which RES and FL influence the DSG-SR. The proposed model can serve as a practical tool for security analysis in distributed smart grids

providing key technical support for secure and stable operation and for the design of market mechanisms in distribution systems with high shares of RES and FL.

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