[1]王玉荣,李方兴,陈昊.基于补偿设备混合配置策略的电力系统无功规划[J].东南大学学报(自然科学版),2017,47(2):299-305.[doi:10.3969/j.issn.1001-0505.2017.02.017]
 Wang Yurong,Li Fangxing,Chen Hao.Reactive power planning using different VAr devices[J].Journal of Southeast University (Natural Science Edition),2017,47(2):299-305.[doi:10.3969/j.issn.1001-0505.2017.02.017]
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基于补偿设备混合配置策略的电力系统无功规划()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
47
期数:
2017年第2期
页码:
299-305
栏目:
电气工程
出版日期:
2017-03-20

文章信息/Info

Title:
Reactive power planning using different VAr devices
作者:
王玉荣1李方兴2陈昊3
1东南大学电气工程学院, 南京 210096; 2美国田纳西大学电气与计算机科学系, 美国田纳西诺克斯维尔 37996; 3江苏省电力公司, 南京 210018
Author(s):
Wang Yurong1 Li Fangxing2 Chen Hao3
1School of Electrical Engineering, Southeast University, Nanjing 210096, China
2Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, TN37996, USA
3Jiangsu Electric Power Company, Nanjing 210018, China
关键词:
暂态过程稳定约束 无功规划 静止无功补偿器 并联电容器组 混合配置策略
Keywords:
transient process stability constraint reactive power planning(RPP VAr planning) static var compensator(SVC) shunt capacity bank(SCB) mixed allocation strategy
分类号:
TM74
DOI:
10.3969/j.issn.1001-0505.2017.02.017
摘要:
为满足电力系统在稳态运行条件下和暂态过程中的多种电压稳定性约束要求,根据现有无功补偿设备所具有的动态、静态不同的特性,基于模糊聚类法、动态电力系统理论和优化方法,研究了电力系统不同的运行方式下混合配置并联电容器组、SVC的无功规划模型及方法.在IEEE30节点系统算例分析中,首先基于模糊聚类理论及最优化理论采用成本较低的并联电容器组进行满足静态稳定约束的无功规划;然后利用SVC的快速响应特性,基于动态电力系统的理论模型进一步实现了不同工况下考虑严重故障后短期稳定约束的电力系统无功规划.算例分析表明,有效配置多种类型的无功补偿设备资源,能够在保证经济性的同时,实现满足不同稳定约束要求的无功规划.
Abstract:
To satisfy the different voltage stability constraints at different load levels for both stability operation condition and transient process, based on the different dynamic or static operation characteristics of reactive power compensators, the mixed allocation of shunt capacity bank(SCB)and static var compensator(SVC)were investigated using fuzzy clustering method, dynamic power system theory and optimization method under different operation levels. In the IEEE 30-bus system case study, reactive power planning(RPP)with static stability constraints was firstly carried out based on the fuzzy clustering method and the optimization method using the lower cost SCB, then RPP with short term stability constraints at different load levels and contingencies was further investigated by the help from dynamic characteristics of SVC. Study results indicate that the optimal allocation of different types of VAr devices can satisfy different stability constraints while ensuring economy requirements.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2016-07-25.
作者简介: 王玉荣(1981—),女,博士,讲师,wangyurong@seu.edu.cn.
基金项目: 国家自然科学基金资助项目(51507031).
引用本文: 王玉荣,李方兴,陈昊.基于补偿设备混合配置策略的电力系统无功规划[J].东南大学学报(自然科学版),2017,47(2):299-305. DOI:10.3969/j.issn.1001-0505.2017.02.017.
更新日期/Last Update: 2017-03-20