Two-stage Optimization Method of Soft Open Point and Energy Storage System in Distribution Network Based on Interval Optimization

SUN Chongbo; LI Jingru; YUAN Kai; SONG Guanyu; JI Jie; LI Peng

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Two-stage Optimization Method of Soft Open Point and Energy Storage System in Distribution Network Based on Interval Optimization

更新时间：2025-12-08

- Two-stage Optimization Method of Soft Open Point and Energy Storage System in Distribution Network Based on Interval Optimization
- Vol. 47, Issue 1, Pages: 45-54(2021)
- 作者机构：
  
  1. 国网经济技术研究院有限公司
  2. 天津大学智能电网教育部重点实验室
- 作者简介：
- 基金信息：
- DOI：
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- Published Online：30 January 2021，
  
  Published：2021
- 稿件说明：
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SUN Chongbo, LI Jingru, YUAN Kai, et al. Two-stage Optimization Method of Soft Open Point and Energy Storage System in Distribution Network Based on Interval Optimization[J]. 2021, 47(1): 45-54.
DOI：

SUN Chongbo, LI Jingru, YUAN Kai, et al. Two-stage Optimization Method of Soft Open Point and Energy Storage System in Distribution Network Based on Interval Optimization[J]. 2021, 47(1): 45-54. DOI：

摘要

为优化智能软开关、储能系统等多种可调度设备运行策略

提升有源配电网的运行经济性

提出了基于区间优化的智能软开关与储能系统两阶段联合优化方法。首先

阐述了提出的基于区间优化的智能软开关与储能系统两阶段联合优化方法;其次

建立有源配电网智能软开关与储能系统两阶段联合区间优化模型;然后

采用列和约束生成算法对上述模型进行求解;最后

在改进的IEEE 33节点测试算例上对本方法进行分析。结果表明提出的基于区间优化的智能软开关与储能系统两阶段联合优化方法能够充分应对分布式电源出力和负荷需求的不确定性

有效降低有源配电网损耗成本

提升有源配电网的运行经济性。

Abstract

In order to optimize the operation strategies of a variety of schedulable equipment such as soft open point and energy storage system and to improve the operation economy of active distribution networks

we propose a two-stage optimization method of soft open point and energy storage system based on interval optimization. First

the proposed optimization method is described. Secondly

a two-stage interval optimization model for soft open point and energy storage system in active distribution networks is established. Then

the column and constraint generation algorithm is used to solve the model. Finally

case studies on the modified IEEE 33-node system and comparisons with the deterministic optimization approach are conducted to verify the effectiveness of the proposed method. The results show that the proposed method can be adopted to fully deal with the uncertainties of outputs of distributed generation and load demands

and the operation economy of active distribution network can be effectively improved.

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