A fuzzy logic-based droop control for simultaneous voltage and frequency regulation in an AC microgrid

Ahmadi, Saleh; Shokoohi, Shoresh; Bevrani, Hassan

doi:10.1016/j.ijepes.2014.07.024

Cited by 90 publications

(33 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The membership vector values of continuous data universe can be expressed by the membership function. The rule base is established on the basis of expert knowledge or long-term operational experience in the research field [28]. All input variables of the system must be fuzzified.…”

Section: The Fuzzy Logic Controllermentioning

confidence: 99%

The Hierarchical Control Algorithm for DC Microgrid Based on the Improved Droop Control of Fuzzy Logic

et al. 2019

View full text Add to dashboard Cite

In the direct current (DC) microgrid composed of multiple distributed generations, due to the different distances between various converters and the DC bus in the system, the difference of the line resistance will reduce the current sharing accuracy of the system. The droop control was widely used in the operation control of the DC microgrid. It was necessary to select a large droop coefficient to improve the current sharing accuracy, but a too large droop coefficient will lead to a serious bus voltage drop and affect the power quality. In view of the contradiction between the voltage regulation and load current sharing in the traditional droop control, a hierarchical control algorithm based on the improved droop control of the fuzzy logic was proposed in this paper. By improving the droop curve, the problems of voltage regulation and current sharing were solved simultaneously. The effectiveness of the algorithm was verified by simulation.

show abstract

Section: The Fuzzy Logic Controllermentioning

confidence: 99%

The Hierarchical Control Algorithm for DC Microgrid Based on the Improved Droop Control of Fuzzy Logic

et al. 2019

View full text Add to dashboard Cite

show abstract

“…The H ∞ control is one of the oldest control optimization techniques which generates a robust controller such that the weighted sensitivity and weighted complementary sensitivity functions are minimized (or less than one) over the pre‐defined frequency range :

{‖\begin{matrix} center \\ W_{1} (s) {((), I + P ((), s) K ((), s))}^{- 1} \\ W_{2} (s) K (s) {((), I + P ((), s) K ((), s))}^{- 1} \end{matrix}‖}_{\infty} < 1

where W 1 ( s ) and W 2 ( s ) are the weighting functions defined to alleviate the impacts of external disturbances and to reduce the amplitude of the control signal, respectively, I is an identity matrix and P ( s ) is an augmented plant developed by combining the actual plant (3) with the weighting functions. The control objective can be re‐defined as: to obtain a controller K ( s ) provided the infinity norm of LFT F L ( P , K ) is less than one : ‖ F L ( P , K )‖ ∞ < 1.…”

Section: Control Problem Formulation and Robust Control Designsmentioning

confidence: 99%

Section: H ∞ Control Designmentioning

confidence: 99%

Centralized sliding mode frequency regulation approach for an uncertain islanded micro grid integrated with disturbance observer

Deepika

Kaur

Narayan

2019

Asian Journal of Control

View full text Add to dashboard Cite

This paper proposes a novel secondary frequency regulation technique for an uncertain islanded micro grid (MG). The major motivation of the work is to integrate the intrinsic robustness of the sliding mode control scheme with the disturbance observer to estimate and alleviate the unknown mismatched uncertainties caused by renewable resources and load variations. To this end, a dynamical sliding manifold is first utilized and then a control law is derived with Lyapunov's method which stabilizes the MG dynamics. Moreover, in order to ensure faster time domain responses of the closed-loop system, we employ a power rate reaching law in our proposed control design. Thereafter, the performances of the introduced control strategy are tested on an islanded MG using MATLAB/Simulink, and robustness analysis is also carried out by considering five different case studies. Further, in contrast to the existing approaches such as robust H ∞ and robust PID control, the proposed strategy renders appealing time domain characteristics such as settling time, peak overshoot, and integral absolute frequency error.

show abstract

“…Another drawback in generalized droop control is, when the number of DG units increases in a microgrid, it becomes tedious to calculate the value of exact line impedance between the DG units and the load. To remove its dependency on line parameters, several intelligent techniques are used in literatures 15,16 .…”

Section: Introductionmentioning

confidence: 99%

Artificial Neural Network Based Droop-Control Technique for Accurate Power Sharing in an Islanded Microgrid

Vigneysh¹,

Kumarappan²

2016

IJCIS

View full text Add to dashboard Cite

In an islanded microgrid, while considering the complex nature of line impedance, the generalized droop control fails to share the actual real/reactive power between the distributed generation (DG) units. To overcome this power sharing issue, in this paper a new approach based on feed forward neural network (FFNN) is proposed. Also, the proposed FFNN based droop control method simultaneously controls the microgrid voltage and frequency within the limits. The proposed microgrid consists of combination of photovoltaic (PV) system and battery energy storage system (BESS) as the first DG unit and solid oxide fuel cell (SOFC) as the second DG unit. The simulation of the proposed microgrid is carried out in Matlab/Simulink environment and necessary results are compared to show the effectiveness of the proposed method.

show abstract

A fuzzy logic-based droop control for simultaneous voltage and frequency regulation in an AC microgrid

Cited by 90 publications

References 14 publications

The Hierarchical Control Algorithm for DC Microgrid Based on the Improved Droop Control of Fuzzy Logic

The Hierarchical Control Algorithm for DC Microgrid Based on the Improved Droop Control of Fuzzy Logic

Centralized sliding mode frequency regulation approach for an uncertain islanded micro grid integrated with disturbance observer

Artificial Neural Network Based Droop-Control Technique for Accurate Power Sharing in an Islanded Microgrid

Contact Info

Product

Resources

About