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author:

Abdullahi, Salisu (Abdullahi, Salisu.) [1] | Jin, Tao (Jin, Tao.) [2] | Lingom, P.M. (Lingom, P.M..) [3]

Indexed by:

EI CSCD

Abstract:

Direct current (DC) microgrid consists of many parallel power converters that share load currents through the inductance of DC/DC converters. Usually, the inductance parameters are dependent on the physical implementation of the system, and their values may not match their nameplates. Such disparities could lead to unequal response characteristics of the system, which can potentially reduce the performances of the DC microgrid operation. This paper proposes a robust control strategy for inductive parametric uncertainties of DC/DC converters using an optimal control method with integral action. To achieve such a goal, the system model parameters with nominal values are transformed into parametric unmatched uncertainties to form a robust control problem, which is then transformed into a linear quadratic regulator problem. The inductance uncertainties are stabilized with the uncertainty dynamic algebraic Riccati equation (UDARE) using state feedback gain under linear quadratic regulator. The closed-loop control with integral action is adopted to achieve a steady-state error of zero on the DC-link voltage at any uncertainty of the inductive parameter, which subsequently ensures the equal load current sharing. Off-line simulations and real-time validations based on OpalRT have been conducted to demonstrate the effectiveness and robustness of the proposed robust control strategy. © 2013 State Grid Electric Power Research Institute.

Keyword:

DC-DC converters Electric loads Inductance Nameplates Riccati equations Robust control State feedback

Community:

  • [ 1 ] [Abdullahi, Salisu]School of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 2 ] [Jin, Tao]School of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 3 ] [Lingom, P.M.]School of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China

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Source :

Journal of Modern Power Systems and Clean Energy

ISSN: 2196-5625

Year: 2023

Issue: 1

Volume: 11

Page: 335-344

5 . 7

JCR@2023

5 . 7 0 0

JCR@2023

ESI HC Threshold:35

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 7

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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