System Parameter Identification of Thermal Generation Unit in the Mongolian Electrical Grid: Real-Life Frequency Response Test

Choidorj Adiyabazar, F. Gonzalez-Longatt, M. Acosta, J. Rueda, Erkhemzaya Bolor
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引用次数: 1

Abstract

Mongolian power grid (MPG) is becoming more eco-friendly as the power system is continuously integrating renewable energy, which reached 20% of the total installed capacity of Mongolia in 2020. The daily operation and the safety of the MPG have become very challenging because of increased levels of energy in the system. Therefore, the dynamic behaviour of conventional power plants (CPPs) must be demonstrated to fulfil the requirements of integrating more renewable energy in the MPG, especially for frequency stability. This paper illustrates the results of the system parameter identification of an actual steam turbine and a governor system with PID controller by using a real-life test performed on Generator 1 (G1) of the biggest thermal power plant (TPP-4) in Mongolia on 6th March 2020. The main contribution of this paper is to clear uncertainties about the PID controller's parameters installed in the steam turbine of G1 in early 2019, consequently giving the system operator an accurate dynamic model of the generation unit. The steam turbine and governor are modelled in DIgSILENT® PowerFactory, and the Particle Swarm Optimization (PSO) method is used for identifying the parameters of the PID controller of the G1 at TPP-4. Simulation results from the PowerFactory software matched firmly (error <0.3%) with the measured frequency from the Phasor Measurement Unit (PMU).
蒙古电网热力发电机组系统参数辨识:实际频响试验
随着电力系统不断整合可再生能源,蒙古电网(MPG)正在变得更加环保,到2020年可再生能源占蒙古总装机容量的20%。由于系统中能量水平的增加,MPG的日常操作和安全性变得非常具有挑战性。因此,必须证明传统发电厂(CPPs)的动态行为,以满足在MPG中集成更多可再生能源的要求,特别是频率稳定性。本文通过2020年3月6日在蒙古最大火电厂(TPP-4) 1号发电机(G1)上进行的实际测试,说明了实际汽轮机和带PID控制器的调节系统的系统参数辨识结果。本文的主要贡献是消除了2019年初安装在G1汽轮机上的PID控制器参数的不确定性,从而为系统操作员提供了准确的发电机组动态模型。在DIgSILENT®PowerFactory中对汽轮机和调速器进行建模,并采用粒子群优化(PSO)方法对G1在TPP-4下的PID控制器参数进行辨识。PowerFactory软件的仿真结果与相量测量单元(PMU)的测量频率完全匹配(误差<0.3%)。
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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