引入交叉熵与动态故障集的含风电大电网可靠性评估

XU Pengcheng

您当前的位置：

首页 >

文章列表页 >

引入交叉熵与动态故障集的含风电大电网可靠性评估

更新时间：2025-08-13

- 引入交叉熵与动态故障集的含风电大电网可靠性评估
- Automation of Electric Power Systems Vol. 40, Issue 13, Pages: 28-34(2016)
- 作者机构：
  
  新能源电力系统国家重点实验室, 华北电力大学,北京市,102206
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2016
- 稿件说明：
移动端阅览
XU Pengcheng. [J]. Automation of electric power systems, 2016, 40(13): 28-34.
DOI：

XU Pengcheng. [J]. Automation of electric power systems, 2016, 40(13): 28-34. DOI：

摘要

风电等新能源大规模并网对电力系统可靠性产生了重要影响。电力系统的不断发展、电气联系的逐渐加强

以及新能源的随机波动特性

使得基于蒙特卡洛模拟(MCS)的可靠性评估方法在高可靠性系统中的计算效率大大下降。提出一种基于链表动态故障集并将之与交叉熵(CE)结合使用的新算法

一方面通过CE优化构建系统元件的最优概率分布

减小方差变化

加快指标收敛;另一方面

以基于链表的动态故障集多级索引取代状态空间中重复状态调用最优潮流的过程

以此提高系统状态评估效率。对IEEE RTS-79发输电改进系统进行可靠性评估

并与原始MCS和CE对比

结果表明

新算法合理、有效;通过变更负荷峰值改变系统可靠充裕度

对比了不同可靠性水平系统下3种方法的计算效率。

Abstract

The intermittency and randomness

which are typical operational characteristics of wind power generation

have brought about negative effects to the reliability of power system operation. Monte Carlo simulation(MCS)based tools have proved useful in reliability evaluation. However

they face difficulties given the randomness of the fluctuant power output while the network is highly reliable particularly with the development of the power system. An improved cross entropy(CE)method is proposed which combines the CE and the dynamic fault set. The CE is presented to obtain the optimal probability parameters leading to a speed-up in state sampling efficiency. In addition

a form of multiple index based on link-list is proposed to replace time-consuming optimal power flow(OPF). Finally

the proposed method is well applied to composite power system reliability evaluation tested on a modified IEEE RTS-79 system. The efficiency of MCS

CE and the proposed method are compared in systems with different adequacies by altering the consumer load.

关键词

Keywords

references

Views

2152

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

引入聚类分析的光伏出力建模及其在可靠性评估中的应用

主动配电网可靠性评估源荷模型改进及并行处理

电力系统可靠性评估中的改进拉丁超立方抽样方法

含分布式电源区域节点的配电网模型和可靠性计算

Quasi-sequential Evaluation of Capacity Credit for Renewable Energy Based on Copula Spatio-temporal Correlation Model

Related Author

GUO Yifei

CHEN Pengwei

ZHANG Weifeng

LEI Zhen

WEI Gang

CAI Yang

ZHANG Xin

WANG Shilong

Related Institution

Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education(Shandong University)

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources (North China Electric Power University)

Key Laboratory of Power System Simulation and Control of Ministry of Education，Tianjin University

Shanghai University of Electric Power， Shanghai Key Laboratory of Power Station Automation Technology

Shanghai PUHAIQIUSHI Electric Power New Technology Limited Company

⁰