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Evolutionary optimization technique for comparative analysis of different classical controllers for an isolated wind-diesel hybrid power system

机译:进化优化技术用于隔离式风-柴油混合动力系统不同经典控制器的比较分析

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In this paper, the considered hybrid power system (HPS) is having a wind turbine generator, a diesel engine generator (DEG) and a storage device (such as capacitive energy storage). This paper presents a comparative study of frequency and power control for the studied isolated wind-diesel HPS with four different classical controllers for the pitch control of wind turbines and the speed governor control of DEG The classical controllers considered are integral, proportional-integral, integral-derivative and proportional-integral-derivative (PID) controller. A quasi-oppositional harmony search (QOHS) algorithm is proposed for the tuning of the controller gains. The comparative dynamic simulation response results indicate that better performance may be achieved with choosing PID controller among the considered classical controllers, when subjected to different perturbation. Stability and sensitivity analysis, presented in this paper, reveals that the optimized PID controller gains offered by the proposed QOHS algorithm are quite robust and need not be reset for wide changes in system perturbations. (C) 2015 Elsevier B.V. All rights reserved.
机译:在本文中,考虑的混合动力系统(HPS)具有风力发电机,柴油发电机(DEG)和存储设备(例如电容式能量存储)。本文对带有四个不同经典控制器的风力发电机变桨控制和DEG调速器控制的孤立风柴油机HPS的频率和功率控制进行了比较研究。经典控制器被认为是积分,比例积分,积分微分和比例积分微分(PID)控制器。提出了一种准对位和声搜索算法。对比动态仿真响应结果表明,在受到不同扰动的情况下,在考虑的经典控制器中选择PID控制器可以实现更好的性能。本文介绍的稳定性和灵敏度分析表明,所提出的QOHS算法提供的优化PID控制器增益非常鲁棒,无需为系统扰动的广泛变化而进行复位。 (C)2015 Elsevier B.V.保留所有权利。

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