Calculation Method of Maximum Distributed Photovoltaic Hosting Capacity of Active Distribution Network With Intelligent Buildings

Gao Bo; Yan Zhenhua; Zhang Shenxi; Luo Hairong; Li Yongliang

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Calculation Method of Maximum Distributed Photovoltaic Hosting Capacity of Active Distribution Network With Intelligent Buildings

更新时间：2025-12-20

- Calculation Method of Maximum Distributed Photovoltaic Hosting Capacity of Active Distribution Network With Intelligent Buildings
- Issue 12, (2025)
- 作者机构：
  
  1. 国网宁夏电力有限公司电力科学研究院
  2. 电力传输与功率变换控制教育部重点实验室上海交通大学电气工程系
- 作者简介：
- 基金信息：
- DOI：
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- Published：2025
- 稿件说明：
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Gao Bo, Yan Zhenhua, Zhang Shenxi, et al. Calculation Method of Maximum Distributed Photovoltaic Hosting Capacity of Active Distribution Network With Intelligent Buildings[J]. 2025, (12).
DOI：

Gao Bo, Yan Zhenhua, Zhang Shenxi, et al. Calculation Method of Maximum Distributed Photovoltaic Hosting Capacity of Active Distribution Network With Intelligent Buildings[J]. 2025, (12). DOI：

摘要

随着分布式光伏规模化接入

主动配电网(active distribution network

ADN)分布式光伏准入容量极限的研究受到了广泛关注。为最大限度利用分布式光伏资源

文章提出一种考虑智能楼宇(intelligent buildings

IBs)用电灵活性的ADN分布式光伏最大准入容量计算方法。首先

考虑建筑物蓄热特性

构建了含暖通空调系统的IBs总耗能模型及其热平衡模型。其次

在计及ADN运行安全约束的前提下

建立了含IBs的ADN分布式光伏最大准入容量优化模型。然后

基于凸松弛技术

将原模型转化为二阶锥模型

并针对凸松弛引入的间隙

应用渐紧线切割算法

以得到原模型最优解。最后

在改进的IEEE 33 节点ADN上验证了模型和算法的有效性

分析了不同IBs可调特性对ADN分布式光伏最大准入容量的影响。

Abstract

With distributed photovoltaic large-scale access

researches on the hosting capacity limit of distributed photovoltaics in active distribution network (ADN) have received extensive attention. To maximize the use of distributed photovoltaic resources

this paper proposes a calculation method for distributed photovoltaic maximum hosting capacity in ADN considering the flexibility of intelligent buildings (IBs). Firstly

considering the heat storage characteristics of the building

the IBs energy consumption model and its heat balance model with HVAC system is constructed. Secondly

considering the safety constraints of ADN operation

the optimization model for maximum hosting capacity of distributed photovoltaic in ADN with IBs is established. Then

based on the convex relaxation technology

the original model is converted into a second-order cone model

and the involute wire cutting algorithm is applied to obtain the optimal solution of the original model for the gap introduced by the convex relaxation. Finally

on the improved IEEE 33-node ADN

the effectiveness of the model and algorithm is verified

and the influence of different IBs tunable characteristics on the maximum hosting capacity of ADN distributed photovoltaic is analyzed.

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东北电力大学电气工程学院

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