A unified control strategy for power sharing and voltage balancing in bipolar DC microgrids

Tavakoli, Saman Dadjo; Mahdavyfakhr, Mohammad; Hamzeh, Mohsen; Sheshyekani, Keyhan; Afjei, E.

doi:10.1016/j.segan.2017.07.004

Cited by 33 publications

(26 citation statements)

References 16 publications

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“…The V-ʃQ.dt droop control is adopted to improve reactive power sharing among DG units. So Substituting (9) into (11) and employing V-ʃQ.dt droop control for islanded operation of MBMG we have:…”

Section: Small Signal Modelmentioning

confidence: 99%

“… Primary level for power sharing and voltage regulation while securing the stable operation of MG [10]- [11]. The primary level, which is the case in this work, involves the technical aspect of the control system from the power engineering point of view and plays an important role in proper operation of MGs, especially in the islanded mode [12].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Improving power sharing in islanded networked microgrids using fuzzy-based consensus control

Eskandari

Moradi

2018

Sustainable Energy, Grids and Networks

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The rising worldwide trend toward developing clean energy resources has caused dispersed installation of renewable energy resources (RESs) in distribution grids. Microgrid (MG) concept is proposed as a key factor in optimal and secure integration of, mostly converter-based, RESs into power systems. One of the major challenges related to MG control is ineffectiveness of droop control in accurate power sharing which is affected by the feeder impedance. In this paper, a fuzzy-based consensus control protocol is developed to address this issue in multi-bus MGs (MBMGs). Consensus signals are inserted into the conventional droop controller as complementary part to overcome the drawback of the droop control in power sharing in MBMGs. Dynamic fuzzy coefficients of consensus signals are designed to model X/R ratio of the grid impedance in the control system. In addition, a novel small signal model of MBMG is developed, by considering the conventional droop control, MBMG power network and power lines impedance to design and assess performance of the control system. Consensus control is also incorporated into the proposed control system of MBMG to analyze the stability. Simulation results are presented to assess effectiveness of the control strategy in MATLAB\Simulink.

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Section: Small Signal Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Improving power sharing in islanded networked microgrids using fuzzy-based consensus control

Eskandari

Moradi

2018

Sustainable Energy, Grids and Networks

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show abstract

“…To address the aforementioned challenges, different control schemes for DC microgrids are reported in [7,[10][11][12][13][14][15][16]. Commonly, these control schemes can be categorized as centralized and decentralized control [10][11][12][13][14][15][16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

“…Commonly, these control schemes can be categorized as centralized and decentralized control [10][11][12][13][14][15][16][17][18][19][20][21]. In centralized control, the controller collects system data using a high bandwidth communication link, schedules the tasks based on the collected information, and directs control decisions [12,[16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Proportional Load Sharing and Stability of DC Microgrid with Distributed Architecture Using SM Controller

Rashad

Raoof

Ashraf

et al. 2018

Mathematical Problems in Engineering

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DC microgrids look attractive in distribution systems due to their high reliability, high efficiency, and easy integration with renewable energy sources. The key objectives of the DC microgrid include proportional load sharing and precise voltage regulation. Droop controllers are based on decentralized control architectures which are not effective in achieving these objectives simultaneously due to the voltage error and load power variation. A centralized controller can achieve these objectives using a high speed communication link. However, it loses reliability due to the single point failure. Additionally, these controllers are realized through proportional integral (PI) controllers which cannot ensure load sharing and stability in all operating conditions. To address limitations, a distributed architecture using sliding mode (SM) controller utilizing low bandwidth communication is proposed for DC microgrids in this paper. The main advantages are high reliability, load power sharing, and precise voltage regulation. Further, the SM controller shows high robustness, fast dynamic response, and good stability for large load variations. To analyze the stability and dynamic performance, a system model is developed and its transversality, reachability, and equivalent control conditions are verified. Furthermore, the dynamic behavior of the modeled system is investigated for underdamped and critically damped responses. Detailed simulations are carried out to show the effectiveness of the proposed controller.

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“…Model predictive control scheme [10,11], projection-algorithm-based sliding mode control [12], and H ∞ robust control scheme [13,14] are used to enhance the stability and robustness of DCMGs. In [15], the voltage balance of a bipolar DCMG is improved by using a communication based centralized controller. A distributed secondary controller and a remote load current measurement scheme are used in [16,17], respectively, to mitigate the voltage steady state error in DCMGs.…”

mentioning

confidence: 99%

Robust control of a multi-bus DC microgrid based on adaptive Lyapunov function method

Rezaei

Shojaeian

Rouhollahi

2020

Journal of Electrical Systems and Inf Technol

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Driven by remarkable concerns about the environmental issues and limited energy sources, the penetration of the distributed energy resources (DERs) and distributed generation (DG) units is on the rapid rise [1,2]. Microgrids are small-scale distribution networks that provide requirements for integrating the DER-based DG units and loads, and improve the stability, reliability, and efficiency of power supply [3,4]. Microgrids can be classified in alternative current (AC) and direct current (DC) types. Although the AC microgrids (ACMGs) are more popular, the DC microgrids (DCMGs) have many advantages compared to ACMGs. The DCMGs have higher stability, reliability, and efficiency, while having no frequency, synchronization, stability, harmonics, power quality, and reactive power issues [5]. In addition, most of the DERs are either naturally in DC form, such as photovoltaic and fuel cells, or converted to DC form, such as wind energy conversion systems. Moreover, most of domestic and commercial loads, such as electronical or digital appliances, are inherently in DC form, and some of these loads that work with AC power, such as home and kitchen electrical appliances, can also operate with DC

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A unified control strategy for power sharing and voltage balancing in bipolar DC microgrids

Cited by 33 publications

References 16 publications

Improving power sharing in islanded networked microgrids using fuzzy-based consensus control

Improving power sharing in islanded networked microgrids using fuzzy-based consensus control

Proportional Load Sharing and Stability of DC Microgrid with Distributed Architecture Using SM Controller

Robust control of a multi-bus DC microgrid based on adaptive Lyapunov function method

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