Abstract
To address the problem of DC bus voltage surge caused by load demand fluctuation in an off-grid microgrid, here, an adaptive energy optimization method based on a hybrid energy-storage system to maintain the stability of DC bus voltage is presented. The adaptive energy optimization method consists of three parts: the average filtering algorithm, extracting fluctuating power in demand load; the supercapacitor terminal voltage control, keeping the terminal voltage of the supercapacitor near reference; and the battery pack balance control, adjusting the charge/discharge to balance the state of charge for battery packs. In this proposed method, after extracting the fluctuating power by the low-pass filter when the demand load fluctuates, the battery packs release the power to offset the low-frequency fluctuation load and the supercapacitor to instantaneously compensate the high-frequency fluctuation power, to prolong the service life of batteries and maintain the stability of DC bus voltage. The effectiveness of the proposed adaptive energy optimization method is validated and is confirmed to maintain the stable operation of the off-grid microgrid, extend the cycle life of batteries in off-grid microgrid simulations and experiments.
Highlights
The reliability and plentiful supply of electricity is one of the essential requirements in the development of the economy and technology, and using a microgrid based on renewable energy sources (RES) is one of the effective ways to improve the strength of the traditional grid [1]
The main function of the hybrid energy-storage system is a two-way converter with a stable control function, and when the microgrid is running in the isolated network, the device serves as the standard source of the microgrid system to ensure that the microgrid is in the process of isolated network operation and mode-switching system stability
Aiming at the power fluctuations of the pulsating load of isolated direct current (DC) microgrid, an adaptive energy-control strategy for a hybrid energy storage system based on moving average filtering algorithm is proposed, which is composed of three parts: sliding average filtering algorithm, voltage variable gain adaptive control at the supercapacitor terminal, and energy-flow equalization control algorithm of a battery pack
Summary
The reliability and plentiful supply of electricity is one of the essential requirements in the development of the economy and technology, and using a microgrid based on renewable energy sources (RES) is one of the effective ways to improve the strength of the traditional grid [1]. Compared with a supercapacitor (SC), the energy density feature of a battery is higher than an SC. The power density feature of an SC is higher than a battery. Both high energy density and high power density are components of the main performance of HESS. To provide reliable and plentiful power and maintain a stable microgrid system, the focus will be a solution on the HESS consisting of a battery and SC in this paper
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