基于简化预测-校正内点法的拟直流最优潮流

GAO Qin

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基于简化预测-校正内点法的拟直流最优潮流

更新时间：2025-08-13

- 基于简化预测-校正内点法的拟直流最优潮流
- Automation of Electric Power Systems Vol. 39, Issue 8, Pages: 87-91(2015)
- 作者机构：
  
  河海大学可再生能源发电技术教育部工程研究中心,江苏省,南京市,210098
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2015
- 稿件说明：
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GAO Qin. [J]. Automation of electric power systems, 2015, 39(8): 87-91.
DOI：

GAO Qin. [J]. Automation of electric power systems, 2015, 39(8): 87-91. DOI：

摘要

在大规模电力系统最优潮流的在线计算应用中

传统直流最优潮流算法虽然有着很高的计算效率

但是由于其完全忽略了电压和无功功率的影响

计算结果精度偏低。文中通过引入无功功率来修正有功功率平衡方程

提出了基于拟直流模型的最优潮流算法。为进一步提高计算效率

提出了一种简化预测-校正内点算法

该算法通过对最优潮流模型中不等式约束进行简化处理

形成只含上限约束的广义不等式约束

大大简化了程序的编写。通过对IEEE 30

118

300节点系统以及Polish 2 736

3 120节点系统的仿真测试

验证了算法的可行性和有效性。

Abstract

In the large-scale optimal power flow (OPF) online calculation

despite the highly efficient computation of the traditional direct current optimal power flow (DCOPF) method

it has poor computational accuracy owing to its total neglect of the impact of voltage and reactive power. A novel OPF method based on the pseudo direct current model is proposed

in which reactive power is introduced to correct active power balance equations. To further increase the computational efficiency

a simplified predictor-corrector interior point method

which predigests the program by modifying the inequality constraints of the OPF model

is used to solve the OPF problem. Finally

it follows from the simulation results of IEEE 30-bus

118-bus

300-bus

Polish 2 736-bus

and 3 120-bus test systems that the proposed method is successful and possesses good performance. This work is supported by National Natural Science Foundation of China (No. 51107032

No. 51277052

No. 61104045).

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