引用本文:周 云,严 正,李乃湖,曹 路.多机系统发电机组强励电压倍数优化配置算法[J].电力自动化设备,2014,34(11):
ZHOU Yun,YAN Zheng,LI Naihu,CAO Lu.Optimal FEVR configuration of generation units in multi-machine power system[J].Electric Power Automation Equipment,2014,34(11):
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多机系统发电机组强励电压倍数优化配置算法
周 云1, 严 正1, 李乃湖1,2, 曹 路3
1.上海交通大学 电力传输与功率变换控制教育部重点实验室,上海 200240;2.阿尔斯通电网中国技术中心,上海 201114;3.华东电网有限公司,上海 200120
摘要:
提高发电机组的强励电压倍数可以提高多机系统的暂态稳定性,因此研究了多机系统发电机组强励电压倍数优化配置算法。建立多机系统的单机无穷大母线模型,定量计算了系统的暂态稳定裕量。分别建立无刷励磁方式和静止励磁方式下,强励电压倍数对系统暂态稳定裕量的影响模型,基于影响模型提出多机系统发电机组强励电压倍数优化配置算法。多机系统发生单一故障时,该算法优先提高暂态稳定边际成本低的机组的强励电压倍数;多机系统发生多故障时,该算法优先提高概率暂态稳定边际成本低的机组的强励电压倍数。利用所提算法,对IEEE 3机9节点系统和新英格兰系统的强励电压倍数进行了优化配置。仿真结果表明,在该配置方式下,系统的暂态稳定性优于其他配置方式。
关键词:  发电机  强励电压倍数  励磁  优化  暂态  稳定性  模型
DOI:
分类号:
基金项目:国家电网公司大电网重大专项资助项目(SGCC- MPLG018-2012)
Optimal FEVR configuration of generation units in multi-machine power system
ZHOU Yun1, YAN Zheng1, LI Naihu1,2, CAO Lu3
1.Key Laboratory of Control of Power Transmission and Conversion,Ministry of Education, Shanghai Jiao Tong University,Shanghai 200240,China;2.Alstom Grid China Technology Center,Shanghai 201114,China;3.East China Grid Company Limited,Shanghai 200120,China
Abstract:
Since the increase of unit FEVR(Force Excitation Voltage Ratio) may improve the transient stability of multi-machine power system,an algorithm for the optimal unit FEVR configuration of multi-machine power system is studied. An OMIB(One-Machine-Infinite-Bus) model of multi-machine power system is built to calculate quantitatively its transient stability margin. The influence of FEVR on the transient stability margin is modeled respectively in brushless excitation and static excitation modes,based on which,an algorithm for the optimal unit FEVR configuration of multi-machine power system is proposed,which preferentially increases the FEVRs of the units with low transient stability marginal cost during single system fault while increases the FEVRs of the units with low probabilistic transient stability marginal cost during multiple system faults. The FEVRs of IEEE 3-machine 9-bus system and New England system are optimized with the proposed algorithm and the simulative results show that the system with the proposed optimal FEVR configuration has better transient stability.
Key words:  electric generators  force excitation voltage ratio  electric excitation  optimization  transients  stability  models

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