IPSO算法在dfig型风力发电机组中的应用，实现多区域电力系统的高效变频控制

2017 Smart Grid Conference (SGC) Pub Date : 2017-12-01 DOI:10.1109/SGC.2017.8308835

Arman Oshnoei, Rahmat Khezri, M. Ghaderzadeh, Hasti Parang, Soroush Oshnoei, M. Kheradmandi

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引用次数: 8

摘要

负载频率控制是多区域电力系统的重要问题之一。在这种情况下，由于风力涡轮机在电力系统中的日益发展，这类可再生能源可以有效地用于频率控制。本文将双馈感应发电机(DFIGs)与其他常规发电机组一起用于多区域电力系统的扰动后频率性能增强。比例积分(PI)控制器是DFIGs中用于频率控制的传统控制器。采用改进粒子群算法对DFIG的PI控制器参数进行了优化。在一个三区电力系统中的仿真结果表明，DFIGs对频率和联络线功率振荡的改善是有效的。

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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Application of IPSO algorithm in DFIG-based wind turbines for efficient frequency control of multi-area power systems

Load frequency control is one of the most important issues in multi area power systems. In this context, due to growing development of wind turbines in power systems, this type of renewable power sources can be used efficiently in frequency control. This paper applies doubly-fed induction generators (DFIGs) along with other conventional generation units for frequency performance enhancement after disturbances in multi-area power systems. Proportional integral (PI) controller is the conventional controller which is used in DFIGs to contribute in frequency control. The parameters of PI controller for DFIG are optimized by improved particle swarm optimization (IPSO) method. Simulation results in a three-area power system illustrate the efficiency of the DFIGs for frequency and tie-line power oscillations improvement.

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2017 Smart Grid Conference (SGC)

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