Abstract

According to the new international grid codes, ancillary services from renewable energy sources are essential, especially when these sources are harnessed as distributed generators. Power oscillation damping (POD) is a supplemented feature needed from wind power plants. This paper investigates different control techniques that can support wind farms based on a doubly fed induction generator (DFIG) with the proper POD. A damping control loop (DCL) is inserted into the control circuit of the back-to-back converter of DFIG to enhance system oscillation damping. The main function of DCL is similar to that of the conventional power system stabilizer. However, under congestion situations, external regulation devices such as STATCOM are required to support system performance and maintain wind farms tracking grid code requirements. A 2-area 4-machine system which consists of three thermal power plants and one wind power plant is examined. The dynamic performance of the system is investigated using power system stabilizer (PSS) as an embedded feature with the control circuit of the thermal power plants. A comparison between the PSS and STATCOM based on system dynamic performance is performed using MATLAB/Simulink. Additionally, the particle swarm optimization technique is used to enhance the performance of the proposed control techniques, taking the voltage stability margins into consideration.

摘要

根据新的国际电网法规，可再生能源的辅助服务必不可少，尤其是当这些能源被利用为分布式发电机时。功率振荡阻尼（POD）是风力发电厂需要的一项补充功能。本文研究了基于双馈感应发电机（DFIG）和适当POD的支持风电场的不同控制技术。阻尼控制环路（DCL）插入到DFIG的背对背转换器的控制电路中，以增强系统振荡阻尼。DCL的主要功能类似于常规电力系统稳定器的功能。但是，在拥挤的情况下，需要使用外部调节设备（例如STATCOM）来支持系统性能并保持风电场跟踪电网规范要求。检查了由三个火力发电厂和一个风力发电厂组成的2区域4机系统。使用电力系统稳定器（PSS）作为火力发电厂控制电路的嵌入式功能，研究了系统的动态性能。使用MATLAB / Simulink在基于系统动态性能的PSS和STATCOM之间进行比较。另外，考虑到电压稳定裕度，使用粒子群优化技术来增强所提出的控制技术的性能。使用MATLAB / Simulink在基于系统动态性能的PSS和STATCOM之间进行比较。另外，考虑到电压稳定裕度，使用粒子群优化技术来增强所提出的控制技术的性能。使用MATLAB / Simulink在基于系统动态性能的PSS和STATCOM之间进行比较。另外，考虑到电压稳定裕度，使用粒子群优化技术来增强所提出的控制技术的性能。