Distributed event‐triggered secondary control for microgrids applicable to directed communication graph

Zhang, Xiaoliang; Cai, Hongda; Xia, Yanghong; Yang, Pengcheng; Zhou, Yongzhi

doi:10.1002/eng2.12710

Cited by 2 publications

(4 citation statements)

References 28 publications

(40 reference statements)

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“…, N). Using (24), the centroid of the T2FLC related to each fired rule can be calculated. This enables the type reduction block to convert a T2FLC to a T1FLC [45].…”

Section: Fundamentals Of Type-ii Fuzzy Logic Controlmentioning

confidence: 99%

“…In this article, the type-reducer employed is the center-of-sets approach. Utilizing the Karnik-Mendel iteration method, it aggregates all the type-II fuzzy sets of δ i and subsequently applies center-of-sets computation to generate a type-I fuzzy set of δ i , using (24). This is commonly referred to as a type-reduced set.…”

Section: Type-ii Fuzzy-based Distributed Secondary Control Framework ...mentioning

confidence: 99%

“…In [23], a distributed voltage regulation and power distribution technique for a stand-alone direct current MG is designed using an aperiodic event-triggered communication topology. Also, in [24], an event-triggered distributed control technique for microgrids was introduced, and the algorithm put forth attained the secondary control objective within a directed graph structure, making it applicable for situations under less robust communication conditions. However, the event-triggering algorithms proposed in these methods do not consider the impact of communication time delay and the line capacity limit.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic Distributed Collaborative Control for Equitable Current Distribution and Voltage Recovery in DC Microgrids

Lasabi,

Swanson,

Jarvis

et al. 2023

Energies

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In a stand-alone DC microgrid featuring several distributed energy resources (DERs), droop control is adopted to achieve a proportional distribution of current among the DERs within the microgrid. The operation of the droop control mechanism leads to a variation in bus voltage, which is further amplified by the line impedance between the DC bus and DERs. This paper proposes an enhanced distributed secondary control technique aimed at achieving equitable current sharing and voltage regulation simultaneously within a DC microgrid. The proposed distributed secondary control is incorporated into the cyber layer of the microgrid, facilitating the exchange of information among the controllers. In the event of a communication link breakdown, this technique upholds the reliability of the entire system. The control loop utilizes a type-II fuzzy logic control framework for the adaptive selection of the control parameters to improve the control response. Furthermore, the proposed technique can handle both resistive and constant power loads without any particular prerequisites. Utilizing the Lyapunov method, appropriate stability criteria for the proposed controller have been formulated. Various tests were performed across a range of operational scenarios to assess the robustness of the proposed control technique through MATLAB/Simulink® models, which have been validated with real-time experiments. The outcomes revealed that the proposed control effectively achieves its control objectives within a DC microgrid, showcasing rapid responsiveness and minimal oscillation.

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“…, N). Using (24), the centroid of the T2FLC related to each fired rule can be calculated. This enables the type reduction block to convert a T2FLC to a T1FLC [45].…”

Section: Fundamentals Of Type-ii Fuzzy Logic Controlmentioning

confidence: 99%

Section: Type-ii Fuzzy-based Distributed Secondary Control Framework ...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Dynamic Distributed Collaborative Control for Equitable Current Distribution and Voltage Recovery in DC Microgrids

Lasabi,

Swanson,

Jarvis

et al. 2023

Energies

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“…The first article, entitled "Distributed event-triggered secondary control for microgrids applicable to directed communication graph" by Zhang et al, 1 presents a novel distributed control strategy to reduce the communication requirements for microgrids. The proposed method's stability is proved using the Lyapunov function, which can be a promising solution for microgrids with limited communication resources.…”

Section: Control Strategy Of Distributed Resourcesmentioning

confidence: 99%

Optimal operation and control of smart energy systems

Hui,

Chen,

Wang

et al. 2023

Engineering Reports

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This editorial provides a summary of the topics and papers selected for the Special Issue on “optimal operation and control of smart energy systems”. After undergoing a rigorous review process, 10 papers have been accepted for publication. These papers cover various aspects of smart energy systems and are distributed as follows: control strategy of distributed resources (two papers), optimal operation of energy systems under uncertainties (three papers), defect detection and risk evaluation of energy systems (two papers), low‐carbon economical energy systems (three papers). The Guest Editorial Board hopes this Special Issue can provide valuable information for future research and advancements in the field of optimal operation and control of smart energy systems.

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Distributed event‐triggered secondary control for microgrids applicable to directed communication graph

Cited by 2 publications

References 28 publications

Dynamic Distributed Collaborative Control for Equitable Current Distribution and Voltage Recovery in DC Microgrids

Dynamic Distributed Collaborative Control for Equitable Current Distribution and Voltage Recovery in DC Microgrids

Optimal operation and control of smart energy systems

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