海上油田群电网的综合潮流优化控制

WANG Jianfeng

您当前的位置：

首页 >

文章列表页 >

海上油田群电网的综合潮流优化控制

更新时间：2025-08-13

- 海上油田群电网的综合潮流优化控制
- Automation of Electric Power Systems Vol. 38, Issue 12, Pages: 125-130(2014)
- 作者机构：
  
  中海石油研究总院,北京市,100033
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2014
- 稿件说明：
移动端阅览
WANG Jianfeng. [J]. Automation of electric power systems, 2014, 38(12): 125-130.
DOI：

WANG Jianfeng. [J]. Automation of electric power systems, 2014, 38(12): 125-130. DOI：

摘要

将发电控制、电压控制和潮流优化结合在一起

综合考虑电网的功率约束、电压质量和经济性指标

建立了海上油田群电网的潮流优化控制模型

并给出了其求解方法。通过将海上油田群电网潮流优化控制问题转化为一个多目标非线性优化问题

从而设计并实现了一套基于内点法和分支定界法的优化求解算法

并通过调整目标权重来适应海上油田群电网各种运行控制模式的需求。采用涠西南油田群电网实际数据进行测试

表明适当设定权重参数可在保证电压质量、功率平衡的基础上

优化机组的出力

获得经济运行的效果。

Abstract

By combining the generation control

voltage control and power flow optimization

a power flow optimization and control model for the offshore oilfield group grid is developed and its solving method is given based on an overall consideration of the power constraints

voltage quality and economic indicators. First

the power flow control problem is formulated into a multi-objective nonlinear optimization problem. Then an algorithm is proposed based on the interior-point method and branch and bound method to solve the problem. The objective weights can be adjusted to meet the requirements of different grid operation modes. Finally

the system is tested with field data of the Southwest Weizhou oilfield group grid

the results showing that by setting the weight parameter appropriately

the voltage quality and power balance can be guaranteed and the economic operation is achieved while the generation unit output is optimized.

关键词

Keywords

references

Views

2873

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Multi-dimensional Resilience Enhancement Strategy for Distribution Network During Typhoon Based on Improved Normal Constraints Method

Voltage Regulation Strategy for Distribution Network Considering Optimal Adjustment of Automatic Voltage Control System Limits

Precise Peak-shaving Strategy at Demand Side Considering Response Reliability and Economy

Related Author

KE Jun

WANG Xu

WEI Xinchi

JIANG Chuanwen

YANG Hongkun

ZHANG Ke

SUN Huapeng

DING Xiaohua

Related Institution

Key Laboratory of Control of Power Transmission and Conversion (Shanghai Jiao Tong University)

Shanghai Non-carbon Energy Conversion and Utilization Institute

State Grid Shanghai Electric Power Research Institute

State Grid Electric Power Research Institute (NARI Group Corporation)

NARI Technology Co., Ltd.

⁰