Adaptive Automatic Generation Control for Improved Stability of Power Systems with Utility-Scale Photovoltaic Plants

Adaptive Automatic Generation Control for Improved Stability of Power Systems with Utility-Scale Photovoltaic Plants
复制标题

DOI:
10.1109/globconht56829.2023.10087578
复制
发表时间:
2023-03
期刊:
2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT)
影响因子:
--
通讯作者:
Rajan Ratnakumar;G. Venayagamoorthy
Rajan Ratnakumar;G. Venayagamoorthy
中科院分区:
其他
文献类型:
--
作者:
Rajan Ratnakumar;G. Venayagamoorthy

文献摘要

相似文献

当将大型公用事业尺度太阳能光伏(PV)植物集成到批量功率系统中时,就会出现稳定问题。太阳辐射的间歇性质导致PV发电的变化,必须由常规发电厂(同步发电机)补偿,以通过平衡生成负载来调节电力系统的频率。补偿涉及同步发电机的生成调度变化。 PV植物变化和同步发电机的调度变化可能会导致电力系统中的机电振荡(EMO)。严重的EMOS可以导致电力系统的不稳定性,并且可以通过智能调节PV植物输出变化期间同步发电机的调度变化速率来避免这种情况。调度变化率的智能调制可以通过自适应自动生成控制(A-AGC)实施。本文介绍了基于源代码测量单元的emo指数的A-AGC的开发,以确保电力系统的稳定性。提出了典型的结果,以说明在PV功率变化期间A-AGC的运行和性能。
Stability problems arise when large utility-scale solar photovoltaic (PV) plants are integrated into bulk power systems. The intermittent nature of solar radiation results in PV power generation variations, which must be compensated by the conventional power plants (synchronous generators) to regulate the frequency of the power system by balancing generation-load. The compensation involves generation dispatch changes of the synchronous generators. The PV plant variations and synchronous generators' dispatch changes could give rise to electromechanical oscillations (EMOs) in the power system. Severe EMOs can lead to power system instability, and this can be avoided by intelligently modulating the rate of change of dispatch of the synchronous generators during PV plant output variations. The intelligent modulation of the rate of change of dispatch can be implemented via an adaptive automatic generation control (A-AGC). This paper presents the development of an A-AGC based on an EMO index derived from phasor measurement units to ensure the stability of the power system. Typical results are presented to illustrate the operation and performance of A-AGC during PV power variations.