基于网损等值负荷模型的改进直流最优潮流算法

HE Tianyu

您当前的位置：

首页 >

文章列表页 >

基于网损等值负荷模型的改进直流最优潮流算法

更新时间：2025-08-13

- 基于网损等值负荷模型的改进直流最优潮流算法
- Automation of Electric Power Systems Vol. 40, Issue 6, Pages: 58-64(2016)
- 作者机构：
  
  可再生能源发电技术教育部工程研究中心, 河海大学,江苏省,南京市,210098
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2016
- 稿件说明：
移动端阅览
HE Tianyu. [J]. Automation of electric power systems, 2016, 40(6): 58-64.
DOI：

HE Tianyu. [J]. Automation of electric power systems, 2016, 40(6): 58-64. DOI：

摘要

交流最优潮流因需要处理大量非线性约束，求解效率不高，且在求解含有小阻抗支路和重负荷特征的病态电力系统时，容易出现不收敛的情况；而直流最优潮流计算速度快，可以处理病态电力系统，但是计算精度较低。基于此，文中提出了基于网损等值负荷模型的改进直流最优潮流算法。该算法首先采用网损等值负荷等效替代线路网损，有效地提高了原有直流模型的计算精度；然后使用简化原—对偶内点法进行求解，提高了算法的计算效率。通过对IEEE 30节点、IEEE 300节点、Polish 2736节点和Polish 3120节点系统的测试，证明了所提算法不仅有着较高的计算精度和效率，而且在不依赖于交流潮流解的基础上对于病态电力系统具有较强的处理能力。

Abstract

Owing to a lot of nonlinear constraints to be dealt with

the efficiency of alternating current optimal power flow(ACOPF)algorithm is not high. Moreover

it will not converge when handling power systems with small reactance branches and heavy load buses. In contrast

direct current optimal power flow(DCOPF)can solve problems fast and handle pathological power systems but fails accuracy. In the circumstance

a modified direct current optimal power flow(MDCOPF)algorithm based on the net loss equivalent load model is proposed. First

the net loss equivalent load is used to replace the line loss and the accuracy of DCOPF is improved effectively. Then

the MDCOPF is solved by using the simplified primal-dual interior point method to improve the computational efficiency. Finally

the simulation results of IEEE 30-bus

300-bus

Polish 2736-bus

and 3120-bus test systems prove satisfactory in computational accuracy and efficiency. In addition

it has a strong computing capability for pathological power systems without the solution of the alternating current power flow.

关键词

Keywords

references

Views

3061

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Optimal Power Flow of Integrated Hydrogen-Electricity Energy System Based on Reduced-dimension Projection

Non-cooperative Game Based Strategy for Energy-Intensive Industrial Load Participating in Peak-regulation Demand

Review on Optimization Methods for New Power System Dispatch Based on Deep Reinforcement Learning

Data Center Server Power Consumption Model Based on Temperature Estimation Considering CPU Working State

Related Author

PENG Hongyi

YAN Mingyu

ZHOU Yijia

PENG Hongyi

YAN Mingyu

ZHOU Yijia

JIANG Tingyu

TAO Jinyu

Related Institution

State Key Laboratory of Advanced Electromagnetic Engineering and Technology (Huazhong University of Science and Technology)

State Key Laboratory of Advanced Electromagnetic Engineering and Technology (School of Electrical and Electronic Engineering, Huazhong University of Science and Technology)

College of Energy and Electrical Engineering, Hohai University

Marketing Service Center of State Grid Jiangsu Electric Power Co., Ltd.

College of Electrical Engineering, Zhejiang University

⁰