Frequency stability analysis of hybrid power system based on solar PV with SMEs unit

S. Singh, R. Verma, Ashish Kumar Shakya, S. Singh
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引用次数: 11

Abstract

Storage Technology has emerged as main backup powers provider in the era of Smart Grid. Frequency stability analysis of a hybrid power system (HPS) based on solar PV and Superconducting Magnetic Energy Storage system (SMES) unit have discussed in this paper. Generally frequency instability problem occurs due to abrupt variation in load demand growth and generated power variations from different renewable power sources. To Solve these fluctuating problem, renewable power generators are equipped with various storage system. On the bases of frequency stability, effect of enabling the SMEs operation with the HPS has also been analyzed in this paper. HPS model has simulated in two different cases. First one is the steady state analysis with controller and another is dynamic operation of the system throughout a day. Genetic Algorithm is used for optimizing the controller's parameter. In the presence of large disturbance the effect of limited storage capability of SMES unit as large disturbance is also being considered. Matlab/Simulink platform is used for analyzing the HPS model. From Simulation results it is observed that SMES unit can mitigate the frequency fluctuations and improves system stability in both cases for variable PV power and uneven demand loads.
太阳能光伏与中小机组混合电力系统的频率稳定性分析
在智能电网时代,储能技术已成为主要的后备电源。本文讨论了基于太阳能光伏和超导磁储能系统(SMES)的混合电力系统的频率稳定性分析。频率不稳定问题通常是由于负荷需求增长的突然变化和不同可再生能源发电功率的变化而产生的。为了解决这些波动问题,可再生能源发电机组配备了各种存储系统。在频率稳定的基础上,本文还分析了采用HPS使中小企业运行的效果。HPS模型模拟了两种不同的情况。一种是带控制器的稳态分析,另一种是系统全天的动态运行。采用遗传算法对控制器参数进行优化。在大扰动存在的情况下,还考虑了中小企业机组有限的存储能力作为大扰动的影响。利用Matlab/Simulink平台对HPS模型进行分析。仿真结果表明,在光伏发电功率变化和需求负荷不均匀的情况下,SMES机组都能缓解频率波动,提高系统稳定性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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