基于PSO-NR双层协同优化的柔性互联配电网最优网损研究

曹翔瑞; 袁旭峰; 冯起辉; 徐玉韬; 熊 炜

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基于PSO-NR双层协同优化的柔性互联配电网最优网损研究

更新时间：2026-10-18

- 基于PSO-NR双层协同优化的柔性互联配电网最优网损研究
- Research on Optimal Network Loss of Flexible Interconnected Distribution Network Based on PSO NR Bi level Collaborative Optimization
- 电力大数据 2026年29卷第7期页码：5--
- 作者机构：
  
  1. 贵州大学电气工程学院
  2. 贵州电网有限责任公司电力科学研究院
- 作者简介：
- 基金信息：
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- 纸质出版：2026
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曹翔瑞,袁旭峰,冯起辉,徐玉韬,熊炜.基于PSO-NR双层协同优化的柔性互联配电网最优网损研究[J].电力大数据,2026,29(07):5-6.

CAO Xiangrui, YUAN Xufeng, FENG Qihui, et al. Research on Optimal Network Loss of Flexible Interconnected Distribution Network Based on PSO NR Bi level Collaborative Optimization[J]. 2026, 29(7): 5--.
曹翔瑞,袁旭峰,冯起辉,徐玉韬,熊炜.基于PSO-NR双层协同优化的柔性互联配电网最优网损研究[J].电力大数据,2026,29(07):5-6. DOI：

CAO Xiangrui, YUAN Xufeng, FENG Qihui, et al. Research on Optimal Network Loss of Flexible Interconnected Distribution Network Based on PSO NR Bi level Collaborative Optimization[J]. 2026, 29(7): 5--. DOI：

摘要

针对柔性互联配电网传统优化策略忽略智能软开关（Soft Open Point，SOP）内部非线性损耗，易造成线路侧降损与设备侧增损并存的“虚假降损”问题，本文提出一种基于全要素损耗反馈的PSO-NR（Particle Swarm Optimization-Newton-Raphson，PSO-NR）双层协同网损优化方法。首先，构建计及线路阻抗损耗、SOP运行损耗及配电变压器动态损耗的全要素能效模型；其次，建立上层策略寻优与下层潮流评估相结合的双层求解框架，将设备运行损耗反馈至适应度函数，实现优化策略与物理潮流状态的协同校验；最后，基于IEEE 33节点系统设置不同SOP建模和拓扑场景进行验证。仿真结果表明，所提方法能够有效抑制传统理想SOP模型下的过度功率转移，降低设备隐性损耗，并改善系统总损耗与节点电压分布。研究表明，计及设备损耗的精细化建模有助于提升柔性互联配电网真实能效评估与优化控制的合理性。

Abstract

Aiming at the “false loss reduction” problem caused by neglecting the internal nonlinear losses of Soft Open Point (SOP) in traditional optimization strategies for flexible interconnected distribution networks

this paper proposes a PSO-NR (Particle Swarm Optimization-Newton-Raphson) bi-level collaborative network loss optimization method based on all-element loss feedback. First

an all-element energy efficiency model is established by considering line impedance loss

SOP operating loss

and dynamic distribution transformer loss. Second

a bi-level solution framework combining upper-level strategy optimization and lower-level power flow evaluation is developed. In this framework

equipment operating losses are fed back to the fitness function

thereby realizing the collaborative verification between optimization strategy and physical power flow state. Finally

different SOP modeling and topology scenarios are tested based on the IEEE 33-bus system. Simulation results show that the proposed method can effectively suppress excessive power transfer under the traditional ideal SOP model

reduce hidden equipment losses

and improve the total system loss and node voltage distribution. The results indicate that refined modeling considering equipment losses is beneficial for improving the rationality of real energy efficiency evaluation and optimal control in flexible interconnected distribution networks.

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