Resilient <i>H</i>
                  <sub>∞</sub> Consensus-Based Control of Autonomous AC Microgrids With Uncertain Time-Delayed Communications

Raeispour, Mohammad; Atrianfar, Hajar; Baghaee, Hamid Reza; Gharehpetian, Gevork B.

doi:10.1109/tsg.2020.2992646

Cited by 50 publications

(23 citation statements)

References 67 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The time delay of the FOPID input signal may cause the controller malfunction [58]. To avoid this problem, the controller must have the necessary robustness against time delay uncertainty.…”

Section: ) Uncertainty Of Time Delay Of Input Signalmentioning

confidence: 99%

PMU-Based FOPID Controller of Large-Scale Wind-PV Farms for LFO Damping in Smart Grid

et al. 2021

Self Cite

View full text Add to dashboard Cite

Due to global warming problems and increasing environmental pollution, there is a strong tendency to install and apply renewable energy power plants (REPPs) around the world. On the other hand, with the increasing development of information and communication technology (ICT) infrastructures, power systems are using these infrastructures to act as smart grids. In fact, future modern power systems should be considered as smart grids with many small and large scale REPPs. One of the main problems and challenges of the REPPs is uncertainty and fluctuation of electrical power generation. Accordingly, a suitable solution can be combination of different types of REPPs. So, the penetration rate of large-scale wind-PV farms (LWPF) is expected to increase sharply in the coming years. Given that the LWPFs are added to the grid or will replace fossil fuel power plants, they should be able to play the important roles of synchronous generators such as power low-frequency oscillation (LFO) damping. In this paper, an LFO damping system is suggested for a LWPF, based on a phasor measurement unit (PMU)-based fractionalorder proportional-integral-derivative (FOPID) controller with wide range of stability area and proper robustness to many power system uncertainties. Finally, the performance of the proposed method is evaluated under different operating conditions in a benchmark smart system.

show abstract

Section: ) Uncertainty Of Time Delay Of Input Signalmentioning

confidence: 99%

PMU-Based FOPID Controller of Large-Scale Wind-PV Farms for LFO Damping in Smart Grid

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, this control approach strongly depends on the system parameters, which technically restrict its application and undesirable effects for nonlinear loads. Moreover, a two‐stage robust optimization model for flexible operation of MGs, which is a hierarchical based frequency control technique and formulated in Reference 99 and 126. Although, MG operating cost is minimum, primary and secondary control levels are used to restrict frequency deviations and avoid load shedding under the worst case of the islanded mode 80,100 …”

Section: Microgrid Control Techniquesmentioning

confidence: 99%

“…Furthermore, to enhance the power system stability for any load conditions is investigated in References 99 and 87. Transient response enhancing the performance of this control technique among paralleled VSC in MG has been addressed in Reference 66.…”

Section: Microgrid Control Techniquesmentioning

confidence: 99%

Recent control techniques and management of AC microgrids: A critical review on issues, strategies, and future trends

Singh¹,

Singh²,

Verma

et al. 2021

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

Summary Distributed generation is considered as a key component of the emerging microgrid (MG) concept, enabling the integration of renewable sources in a distributed network. The MG has been accepted globally as a new approach that provides a flexible, reliable, sustainable, and economical solution for green and clean power generation. Microgrid is constituted by distributed energy resources (DERs) and is a combination of parallel connection equipped with suitable control and protection scheme for the operation in both islanded and utility grid‐connected mode. Microgrid structure with various hierarchy control techniques is categorized into three layers such as primary control, secondary control, and tertiary control techniques. A comprehensive literature review of these control techniques in AC microgrid is presented. In addition, the technical challenges of existing MGs affect real‐time applications around the globe. For the development and execution of various MG topologies, suitable power strategies are adopted to integrate distributed generation (IDG), energy storage system (ESS), and consumer loads for an improved energy management system (EMS). This paper presents a state‐of‐the‐art review of recent control techniques of AC microgrids with DERs having various important aspects; hierarchical control techniques, management strategies, technical challenges, and their future trends in the system. Moreover, a comparative performance analysis of our proposed review with existing surveys of AC control techniques with their individual merits and demerits have been presented. Furthermore, this investigation of different power control techniques applied in MG is compared and classified in terms of various important features, highlighting potential advantages, and different applications.

show abstract

“…In order to estimate the SoC of BESSs, the coulomb counting rule will help. The simplified coulomb rule can be expressed as

\begin{matrix} right left right left right left right left right left right left0.278em 2em 0.278em 2em 0.278em 2em 0.278em 2em 0.278em 2em 0.278em3pt \\ {SoC}_{i} = {SoC}_{0 i} - \frac{1}{C_{i}} \int η_{i} i_{d c} d t \end{matrix}

Due to the SoC estimation of the BESSs in the MG, we neglect the power loss of the interfacing voltage source converter (VSC) and assume that the output voltages of the batteries are the same as [15, 20, 22]. Regarding the conservation of energy in the output and input of the VSC, there exists an approximation for each BESS (

P ≃ P_{d c} = v_{d c} i_{d c}

), and the efficiency factor is supposed to be unit (

η = 1

).…”

Section: Preliminaries and Problem Formulationmentioning

confidence: 99%

“…In [21], the impact of the inherent time delay based on distributed secondary frequency control is investigated, and the delay margins are obtained. In [22], the resilient

H_{\infty}

consensus‐based control has been proposed for uncertain time‐delayed communication. Furthermore, in [23], a distributed secondary scheme has been presented for DG‐based MG in which, the weighted average value of voltage, frequency regulating, and power sharing with time‐varying delays is presented, but in this case all the communication links have the same time‐varying delays.…”

Section: Introductionmentioning

confidence: 99%

Resilient distributed control of BESSs and voltage source converter‐based microgrids considering switching topologies and non‐uniform time‐varying delays

Raeispour¹,

Atrianfar²,

Baghaee³

et al. 2020

IET gener. transm. distrib.

Self Cite

View full text Add to dashboard Cite

Resilient H _∞ Consensus-Based Control of Autonomous AC Microgrids With Uncertain Time-Delayed Communications

Cited by 50 publications

References 67 publications

PMU-Based FOPID Controller of Large-Scale Wind-PV Farms for LFO Damping in Smart Grid

PMU-Based FOPID Controller of Large-Scale Wind-PV Farms for LFO Damping in Smart Grid

Recent control techniques and management of AC microgrids: A critical review on issues, strategies, and future trends

Resilient distributed control of BESSs and voltage source converter‐based microgrids considering switching topologies and non‐uniform time‐varying delays

Contact Info

Product

Resources

About

Resilient H ∞ Consensus-Based Control of Autonomous AC Microgrids With Uncertain Time-Delayed Communications

Cited by 50 publications

References 67 publications

PMU-Based FOPID Controller of Large-Scale Wind-PV Farms for LFO Damping in Smart Grid

PMU-Based FOPID Controller of Large-Scale Wind-PV Farms for LFO Damping in Smart Grid

Recent control techniques and management of AC microgrids: A critical review on issues, strategies, and future trends

Resilient distributed control of BESSs and voltage source converter‐based microgrids considering switching topologies and non‐uniform time‐varying delays

Contact Info

Product

Resources

About

Resilient H _∞ Consensus-Based Control of Autonomous AC Microgrids With Uncertain Time-Delayed Communications