Implementation of an adaptive control strategy for solar photo voltaic generators in microgrlds with MPPT and energy storage

K. Rajesh, S. Dash, Bayinder, R. Sridhar, R. Rajagopal
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引用次数: 13

Abstract

In the recent years, microgrids have become increasingly popular among the consumers due to its energy efficient mechanism, network benefits and improved energy reliability. However, when they are operated as autonomous systems, several technical problems related with its operations and control has emerged as a challenge. To overcome this impending issue, this paper proposes an optimized approach by implementing adaptive solar PV generators with MPPT control (maximum power point tracking) to support an islanded microgrid in a low voltage network. Due to improper control and high maintenance, the PV generator provides very low efficiency during conversion. Therefore, the proposed strategy offers an effective coordination between inverter V-f control (voltage and frequency) and P-Q control, MPPT control and energy storage control of the islanded microgrids to remove device fluctuations and deviations. Also, the control strategy employed take care of State of Charge (SOC) stabilization of battery unit. The simulation of the proposed model is carried out in Matlab/Simulink. The results clearly confirm the potency of suggested controlling and adaptive strategy.
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基于MPPT和储能的微电网太阳能光伏发电机自适应控制策略的实现
近年来,微电网因其节能机制、网络效益和能源可靠性的提高而越来越受到消费者的欢迎。然而,当它们作为自主系统运行时,与其操作和控制相关的一些技术问题已经成为一个挑战。为了克服这一迫在眉睫的问题,本文提出了一种优化方法,通过实现具有MPPT控制(最大功率点跟踪)的自适应太阳能光伏发电机来支持低压网络中的孤岛微电网。由于控制不当和维护费用高,光伏发电机在转换过程中提供的效率很低。因此,本文提出的策略在逆变器V-f控制(电压和频率)与孤岛微电网的P-Q控制、MPPT控制和储能控制之间进行了有效的协调,以消除设备的波动和偏差。同时,所采用的控制策略兼顾了电池单元的荷电状态(SOC)稳定。在Matlab/Simulink中对该模型进行了仿真。结果清楚地证实了所建议的控制和适应策略的效力。
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