Improved droop control based voltage compensation and variable droop coefficient in DC microgrids

Li, Chengcheng; Wu, Jianguo; Zhang, Kun; Dai, Xiang Yu; Xu, Shiyi

doi:10.1109/control.2016.7737608

Cited by 6 publications

(2 citation statements)

References 23 publications

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“…Applying (7) in (3)(4)(5) derives the final small signal expression of the state equation and it takes the form as, The transfer function expression for the individual boost converter is given in (9). If the values of and changes, then the individual converter transfer function also gets varied.…”

Section: A Small Signal Modelmentioning

confidence: 99%

“…The parallel converter requires; (i) voltage control among parallel converters (ii) load current sharing (iii) zero circulating current, (iv) self-regulating strategy during transient conditions [2]. Many current sharing methods like droop sharing, booster array, master slave, synchronous method, adaptive droop technique, droop index method were proposed in the literature [3][4][5][6][7][8]. The problems in existing methodologies are the gain values of the PI controllers are fixed, which fails the controller in responding to the sudden perturbations.…”

Section: Introductionmentioning

confidence: 99%

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Stability Analysis of Neuro-Adaptive SMC-Based Current Sharing Technique for Multiphase Converters in Battery Charging Applications

Ms¹,

Senthilnathan²,

Bharatiraja

et al. 2020

2020 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)

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In the present scenario, battery plays a vital role in most of the domestic and industrial applications as an uninterrupted power source for sensitive loads, storage systems, electric vehicles, etc. Conventional single port chargers are upgraded to multiport circuits in most of the battery charger applications. However, it faces the following problems; 1. Insufficient control over the voltage regulated and current shared among the multiport converters, 2. Transient perturbation and stability control. This paper presents a new hybrid control strategy for an integrated renewable energy load bus. It comprises of Photovoltaic (PV) and Fuel Cell (FC) based source side converters delivering power to the battery chargers connected on the load side. The hybrid control strategy includes; 1. Neural Network (NN) based self-adapting Proportional -Integral (PI) tuner for adjusting the droop resistance values in multiport network and current sharing among the converters, 2. Sliding Mode Controller (SMC) based PWM control for increased voltage regulation with constant current control as well. The hand in hand process of Neuro Adaptive Droop (NAD) -SMC takes care of the proper load sharing, battery charging and a rapid response control system with wide stable region. The proposed self-adapting and self-tracking technique is evaluated in Matlab/Simulink platform and the results were validated in real time prototypical hardware by implementing the control law using dSPACE-MicrolabBox-1202.

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Section: A Small Signal Modelmentioning

confidence: 99%