适应两级分布式智能调度控制的变电站高级应用软件

SUN Hongbin

您当前的位置：

首页 >

文章列表页 >

适应两级分布式智能调度控制的变电站高级应用软件

更新时间：2025-08-13

- 适应两级分布式智能调度控制的变电站高级应用软件
- Automation of Electric Power Systems Vol. 39, Issue 1, Pages: 233-240(2015)
- 作者机构：
  
  清华大学电机工程与应用电子技术系,北京市,100084
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2015
- 稿件说明：
移动端阅览
SUN Hongbin. [J]. Automation of electric power systems, 2015, 39(1): 233-240.
DOI：

SUN Hongbin. [J]. Automation of electric power systems, 2015, 39(1): 233-240. DOI：

摘要

智能电网的发展对传统集中式的调度模式提出了挑战。文中重新审视了分布自治与集中协调这对基本矛盾

提出建立智能变电站高级应用软件体系

具体包括建模、状态估计、智能告警、电压稳定评估与控制、自动电压控制、风险评估建模等高级应用

变集中式调度模式为更加可靠、敏捷的变电站-调度中心两级分布式智能调度控制模式。简要介绍了各高级应用的特点、功能和实现

展示实际工程应用示例

并对相关实用化问题进行探讨。最后对智能变电站高级应用软件的发展提出展望。

Abstract

The development of smart grid has posed a challenge to the traditional centralized dispatch mode. The basic contradiction between distributed autonomy and centralized coordination is reexamined

and an architecture of smart substation advanced application software system is proposed

including such advanced applications as modeling

state estimation

intelligent alarming

voltage stability assessment and control

automatic voltage control

risk assessment modeling

etc. This facilitates a change from centralized dispatch and control mode to a more reliable

agile substation-control center two-level distributed smart dispatch and control mode. The features

functions and realization of the proposed advanced application software are described

some field engineering application cases demonstrated

and certain practical aspects of implementation discussed. Finally

the prospect for future development of the smart substation advanced application software is displayed.

关键词

Keywords

references

Views

3608

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

基于不确定性推理的变电站拓扑错误辨识

基于IEC 61850的行波测距装置建模

Distribution Network Restoration Decision Considering Risk of State Estimation Error in Restoration Process

Time-varying Virtual Inertia and State Estimation of Grid-following Converter Based on Maximum Correntropy Criterion and Polynomial Chaos Kalman Filter

Related Author

ZHANG Ting

CHEN Yu

LIU Dong

XU Bingyin

ZHU Kaiyu

LIN Jikeng

HAO Lili

KAN Yizhou

Related Institution

NARI Technology Development Co. Ltd.

Key Laboratory of Control of Power Transmission and Transformation，Ministry of Education，Department of Electrical Engineering，Shanghai Jiao Tong University

School of Electric and Electronic Engineering，Shandong University of Technology

College of Electronics and Information Engineering, Tongji University

College of Electrical Engineering & Control Science, Nanjing Tech University

⁰