在基于光伏的孤岛式交流微电网中实现精确电力共享的改进型基于 Droop 的分散控制策略

IF 6.3 2区 计算机科学 Q1 AUTOMATION & CONTROL SYSTEMS
Bibhudatta Mishra, Monalisa Pattnaik
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引用次数: 0

摘要

本文介绍了一种新颖的基于下垂的分散控制方案,以解决光伏供电的孤岛式交流微电网中的功率共享难题。这种新型方法集成了传统(P-f/Q-V)和虚拟阻抗概念,以优化和管理并联运行逆变器之间有功和无功功率的精确分配,这对研究工作提出了重大挑战。传统的降压控制方法会遇到一些限制,如电压和频率偏差,以及由于线路阻抗差异造成的功率共享不准确。为了克服这些局限性,所提出的解决方案在传统控制环路(P-f/Q-V)的基础上集成了增强型虚拟阻抗控制环路。通过使用 MATLAB/Simulink 平台中的 OPAL-RT OP4510 仿真器进行仿真,展示了这种方法的功效。实时仿真结果证实了所建议的控制策略的效率,保证了有功功率和无功功率的精确分配,同时维持了系统内稳定的电压和频率曲线。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A modified droop-based decentralized control strategy for accurate power sharing in a PV-based islanded AC microgrid

This paper introduces a novel droop-based decentralized control scheme to address the power-sharing challenges within a PV-fed islanded AC microgrid. This novel approach integrates both conventional (P-f/Q-V) and virtual impedance concepts to optimize and manage the precise distribution of active and reactive power among parallel operating inverters posing a significant research challenge. The conventional droop control methods encounter limitations such as voltage and frequency deviations and inaccuracies in power-sharing due to line impedance disparities. To overcome these limitations, the proposed solution integrates an enhanced virtual impedance control loop alongside the conventional control loop (P-f/Q-V). The efficacy of this approach is showcased through simulations conducted using the OPAL-RT OP4510 simulator within the MATLAB/Simulink platform. The Real-time simulation outcomes confirm the efficiency of the suggested control strategy, guaranteeing precise distribution of both active and reactive power while upholding stable voltage and frequency profiles within the system.

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来源期刊
ISA transactions
ISA transactions 工程技术-工程:综合
CiteScore
11.70
自引率
12.30%
发文量
824
审稿时长
4.4 months
期刊介绍: ISA Transactions serves as a platform for showcasing advancements in measurement and automation, catering to both industrial practitioners and applied researchers. It covers a wide array of topics within measurement, including sensors, signal processing, data analysis, and fault detection, supported by techniques such as artificial intelligence and communication systems. Automation topics encompass control strategies, modelling, system reliability, and maintenance, alongside optimization and human-machine interaction. The journal targets research and development professionals in control systems, process instrumentation, and automation from academia and industry.
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