Distributed MPC-Based Secondary Control for Energy Storage Systems in a DC Microgrid

Yang, Qiufan; Zhou, Jianyu; Xia, Changliang; Wen, Jinyu

doi:10.1109/tpwrs.2021.3078852

Cited by 30 publications

(6 citation statements)

References 30 publications

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“…The DC microgrid operation control strategy has been investigated in many studies addressing control aspects, such as DC microgrid voltage regulation [4], different operation modes [5], seamless mode transitions [6], etc. Various energy management systems (EMS) for DC microgrids are analyzed, with each one having different optimization techniques depending on the size of MG and cost optimization [7].…”

Section: Challengesmentioning

confidence: 99%

Model predictive control of consensus-based energy management system for DC microgrid

et al. 2023

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The increasing deployment and exploitation of distributed renewable energy source (DRES) units and battery energy storage systems (BESS) in DC microgrids lead to a promising research field currently. Individual DRES and BESS controllers can operate as grid-forming (GFM) or grid-feeding (GFE) units independently, depending on the microgrid operational requirements. In standalone mode, at least one controller should operate as a GFM unit. In grid-connected mode, all the controllers may operate as GFE units. This article proposes a consensus-based energy management system based upon Model Predictive Control (MPC) for DRES and BESS individual controllers to operate in both configurations (GFM or GFE). Energy management system determines the mode of power flow based on the amount of generated power, load power, solar irradiance, wind speed, rated power of every DG, and state of charge (SOC) of BESS. Based on selection of power flow mode, the role of DRES and BESS individual controllers to operate as GFM or GFE units, is decided. MPC hybrid cost function with auto-tuning weighing factors will enable DRES and BESS converters to switch between GFM and GFE. In this paper, a single hybrid cost function has been proposed for both GFM and GFE. The performance of the proposed energy management system has been validated on an EU low voltage benchmark DC microgrid by MATLAB/SIMULINK simulation and also compared with Proportional Integral (PI) & Sliding Mode Control (SMC) technique. It has been noted that as compared to PI & SMC, MPC technique exhibits settling time of less than 1μsec and 5% overshoot.

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Section: Challengesmentioning

confidence: 99%

Model predictive control of consensus-based energy management system for DC microgrid

et al. 2023

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“…Distributed control strategies have been recently stimulated such as sharing of current. DC bus signaling techniques are summarized to work out the entire network information [ 79 ]. Table 3 shows the benefits and drawbacks of secondary control.…”

Section: Hierarchical Controlmentioning

confidence: 99%

A comprehensive review of DC microgrid in market segments and control technique

Kumar

Prabha

2022

Heliyon

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“…In [107], a unified model predictive voltage and current control (UMPVIC) strategy is presented for both grid-connected mode and island mode, which can be flexibly applied in the primary control layer for proper load sharing and in the tertiary layer for power flow. A fuzzy control algorithm is proposed to reduce the voltage and frequency deviations caused by the primary droop layer.…”

Section: Mpc-based Secondary Controlmentioning

confidence: 99%

A Literature Review of the Control Challenges of Distributed Energy Resources Based on Microgrids (MGs): Past, Present and Future

Razmi

2022

Energies

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Different types of distributed generation (DG) units based on renewable and non-renewable energy sources can create a local energy system in microgrids. The widespread penetration of distributed energy resources (DERs) has affected many power system issues, such as the control and operation of these networks. For the optimal operation of microgrids, optimal energy planning and management in the new space governing the distribution system requires extensive research and analysis. Getting acquainted with the latest research about the evaluation of the problems and challenges in the design of control systems plays an important role in providing a guidance map for researchers to find the recent challenges and propose new solutions. This paper tried to list the challenges of distributed generation sources for MG applications, opportunities, and solutions. These challenges are reported in hierarchical control strategies and power-sharing categories. Therefore, Model Predictive Control (MPC)-based approaches are reviewed for different recent control levels and power sharing strategies in a comprehensive and simple point of view. The performance comparison of MPC methods together and different allocated fitness functions and implementation algorithms are dedicated. Another hand, the potential of MPC methods to control inverters for increasing the reliability of the grid, which this feature could not be achieved by using conventional strategies, while has not been investigated by researchers widely, is introduced in a short review. Therefore, this paper shows an intersection guidance map for readers to facilitate future research works in these exciting and undiscovered fields.

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Distributed MPC-Based Secondary Control for Energy Storage Systems in a DC Microgrid

Cited by 30 publications

References 30 publications

Model predictive control of consensus-based energy management system for DC microgrid

Model predictive control of consensus-based energy management system for DC microgrid

A comprehensive review of DC microgrid in market segments and control technique

A Literature Review of the Control Challenges of Distributed Energy Resources Based on Microgrids (MGs): Past, Present and Future

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