Energy management and control strategy for DC microgrid based on DMPPT technique

Zhou, Guohua; Tian, Qingxin; Leng, Minrui; Fan, Xianyan; Bi, Qiang

doi:10.1049/iet-pel.2019.0383

Cited by 12 publications

(7 citation statements)

References 28 publications

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“…This work was supported by the National Natural Science Foundation of China (61901212). The increasing penetration rate of renewable energy such as photovoltaic and wind power promotes the development of DC microgrid (Kathiresan et al, 2020;Zhou et al, 2020). Compared with AC microgrid, DC microgrid has no problems such as synchronization, reactive power transmission, harmonic current and converter loss, so it has attracted more and more attention (Rahimi and Ghadiriyan, 2019;Song et al, 2019).…”

Section: Fundingmentioning

confidence: 99%

Planning and Operation of Hybrid Renewable Energy Systems

2022

Frontiers Research Topics

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Frontiers is more than just an open-access publisher of scholarly articles: it is a pioneering approach to the world of academia, radically improving the way scholarly research is managed. The grand vision of Frontiers is a world where all people have an equal opportunity to seek, share and generate knowledge. Frontiers provides immediate and permanent online open access to all its publications, but this alone is not enough to realize our grand goals. Frontiers Journal SeriesThe Frontiers Journal Series is a multi-tier and interdisciplinary set of open-access, online journals, promising a paradigm shift from the current review, selection and dissemination processes in academic publishing. All Frontiers journals are driven by researchers for researchers; therefore, they constitute a service to the scholarly community. At the same time, the Frontiers Journal Series operates on a revolutionary invention, the tiered publishing system, initially addressing specific communities of scholars, and gradually climbing up to broader public understanding, thus serving the interests of the lay society, too. Dedication to QualityEach Frontiers article is a landmark of the highest quality, thanks to genuinely collaborative interactions between authors and review editors, who include some of the world's best academicians. Research must be certified by peers before entering a stream of knowledge that may eventually reach the public -and shape society; therefore, Frontiers only applies the most rigorous and unbiased reviews. Frontiers revolutionizes research publishing by freely delivering the most outstanding research, evaluated with no bias from both the academic and social point of view. By applying the most advanced information technologies, Frontiers is catapulting scholarly publishing into a new generation.

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Section: Fundingmentioning

confidence: 99%

Planning and Operation of Hybrid Renewable Energy Systems

2022

Frontiers Research Topics

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“…The increasing penetration rate of renewable energy such as photovoltaic and wind power promotes the development of DC microgrid (Kathiresan et al, 2020;Zhou et al, 2020). Compared with AC microgrid, DC microgrid has no problems such as synchronization, reactive power transmission, harmonic current and converter loss, so it has attracted more and more attention (Rahimi and Ghadiriyan, 2019;Song et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

A Dynamic and Cooperative Control Strategy for Multi-Hybrid Energy Storage System of DC Microgrid Based on SOC

Zhang

et al. 2022

Front. Energy Res.

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With the increasingly serious crisis of fossil energy and environmental pollution, clean renewable energy becomes the inevitable choice of energy structure adjustment. The instability of output power of distributed renewable energy system greatly affects the operation of DC microgrid. The hybrid energy storage system (HESS) composed of High-Energy Battery (HEB) and High-Power Battery (HPB) can solve the above problems. Thus, this paper proposes a dynamic and cooperative control strategy for multi-HESS based on state of charge (SOC). Based on the traditional LPF method and droop control, this paper proposes a control strategy that requires no communication among multiple hybrid energy storage (HES) modules. This method can realize the stable control of HEB current, reduce the change times of HEB charging-discharging mode, prevent HEB from overcharging and overdischarging, prolong the service life of HEB and balance different energy storage SOC, so as to improve the operation stability and economy of DC microgrid. In addition, the method has certain robustness against sudden failures. Simulation and experiment results show the effectiveness of the proposed method.

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“…The associate editor coordinating the review of this manuscript and approving it for publication was Huai-Zhi Wang . conditions. Literature [3] proposed a maximum power range estimation method based on the DMPPT technique, which can provide guidance for designing parameters. In the literature [4], a DMPPT method based on the forward converter was proposed for small power module level and sub-module level MPPT applications.…”

Section: Introductionmentioning

confidence: 99%

DMPPT Control of Photovoltaic Microgrid Based on Improved Sparrow Search Algorithm

et al. 2021

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There are some problems in the photovoltaic microgrid system due to the solar irradiancechange environment, such as power fluctuation, which leads to larger power imbalance and affects the stable operation of the microgrid. Aiming at the problems of power mismatch loss under partial shading in photovoltaic microgrid systems, this paper proposed a distributed maximum power point tracking (DMPPT) approach based on an improved sparrow search algorithm (ISSA). First, used the center of gravity reverse learning mechanism to initialize the population, so that the population has a better spatial solution distribution; Secondly, the learning coefficient was introduced in the location update part of the discoverer to improve the global search ability of the algorithm; Simultaneously used the mutation operator to improve the position update of the joiner and avoid the algorithm falling into the local extreme value. The results of the model in Matlab showed that the ISSA can track the maximum power point(MPP) more accurately and quickly than the perturbation observation method (P&O) and the particle swarm optimization (PSO) algorithm, and had good steady-state performance.INDEX TERMS Distributed maximum power point tracking, photovoltaic microgrid, sparrow search algorithm, spatial solution distribution, steady-state.

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Energy management and control strategy for DC microgrid based on DMPPT technique

Cited by 12 publications

References 28 publications

Planning and Operation of Hybrid Renewable Energy Systems

Planning and Operation of Hybrid Renewable Energy Systems

A Dynamic and Cooperative Control Strategy for Multi-Hybrid Energy Storage System of DC Microgrid Based on SOC

DMPPT Control of Photovoltaic Microgrid Based on Improved Sparrow Search Algorithm

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