利用 MOPSO 算法实现电压和功率因数校正的随机优化光伏布局和基于指令的功率控制

IF 6 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Shehzad Haneef , Zeeshan Rashid , Syed Aqeel Haider , Zeeshan Ahmad Arfeen , Nusrat Husain , Ashraf Yahya , Muhammad Amjad , Hafeez ur Rehman
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引用次数: 0

摘要

本文采用多目标粒子群优化(MOPSO)算法来确定安装具有最佳电压幅值和相位的单个分布式发电机(DG)的最佳位置。目标是使用 MATLAB/SIMULINK 软件最大限度地提高 IEEE 9 总线系统的功率因数和电压,以及 IEEE 15 总线系统的电压。系统仿真结果表明,在母线-5 处安装电压幅值/相位为 230 kV/-13∘ 的单个风电机组可使目标函数值达到 1.9919 的最高值,功率因数和电压分别提高了 1.39% 和 1.15%。在 IEEE 15 总线系统中,总线-3 的 DG 目标函数值最高(0.8828),DG 电压幅值/相数为 10.735 kV/23.12∘,电压改善率为 11.89%。最后,开发了一个 dq0 域的鲁棒控制程序,以实现光伏发电机在 DG 总线上的计算功率,其效果经验证在所有总线上都与 MOPSO 算法给出的效果相同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Stochastic optimal PV placement and command based power control for voltage and power factor correction using MOPSO algorithm
This paper addresses a multi-objective particle swarm optimization (MOPSO) algorithm to locate the best position at which a single distributed generator (DG) with optimum voltage amplitude and phase can be installed. The objective is to maximize the power factor and voltage in IEEE 9-Bus system and voltage in IEEE 15-Bus system using MATLAB/SIMULINK software. Systematic simulations revealed that a single DG at Bus-5 with voltage amplitude/phase of 230 kV/-13 caused highest objective function value of 1.9919 with an improvement in power factor and voltage of 1.39% and 1.15% respectively. In IEEE 15-Bus system, DG at Bus-3 caused the highest objective function (0.8828) with DG voltage amplitude/phase of 10.735 kV/23.12 and 11.89% voltage improvement. Finally, a robust control program in dq0 domain is developed to achieve calculated powers from photovoltaic generator at DG bus whose effect is validated to be the same at all buses as given by the MOPSO algorithm.
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来源期刊
Ain Shams Engineering Journal
Ain Shams Engineering Journal Engineering-General Engineering
CiteScore
10.80
自引率
13.30%
发文量
441
审稿时长
49 weeks
期刊介绍: in Shams Engineering Journal is an international journal devoted to publication of peer reviewed original high-quality research papers and review papers in both traditional topics and those of emerging science and technology. Areas of both theoretical and fundamental interest as well as those concerning industrial applications, emerging instrumental techniques and those which have some practical application to an aspect of human endeavor, such as the preservation of the environment, health, waste disposal are welcome. The overall focus is on original and rigorous scientific research results which have generic significance. Ain Shams Engineering Journal focuses upon aspects of mechanical engineering, electrical engineering, civil engineering, chemical engineering, petroleum engineering, environmental engineering, architectural and urban planning engineering. Papers in which knowledge from other disciplines is integrated with engineering are especially welcome like nanotechnology, material sciences, and computational methods as well as applied basic sciences: engineering mathematics, physics and chemistry.
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