Cost-Prioritized Droop Schemes for Autonomous AC Microgrids

Nutkani, Inam Ullah; Loh, Poh Chiang; Wang, Peng; Blaabjerg, Frede

doi:10.1109/tpel.2014.2313605

Cited by 112 publications

(80 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Then, the load is physically unplugged. A reverse procedure is followed at 35 s t = to plug the load, 4 Z , back in. This soft load change procedure, besides the damping effect of the power measurement filters, explains why the supplied powers in Figs. 9(e) and 9(f) and the load demands in Figs.…”

Section: Experimental Validationmentioning

confidence: 99%

“…12 with the failed link, where a satisfactory performance is reported. In this study, the load at Bus 4 , i.e., 4 Z , has been unplugged and plugged back in at 5 s t = and 17.5 s t = , respectively. It should be noted that although the link failure does not affect the steady-state performance, it slows down the system dynamics as it limits the information flow.…”

Section: Failure Resiliency In Cyber Domainmentioning

confidence: 99%

See 1 more Smart Citation

Droop-Free Distributed Control of AC Microgrids

Bidram¹,

Nasirian

Davoudi

et al. 2017

Cooperative Synchronization in Distributed Microgrid Control

View full text Add to dashboard Cite

Section: Experimental Validationmentioning

confidence: 99%

Section: Failure Resiliency In Cyber Domainmentioning

confidence: 99%

Droop-Free Distributed Control of AC Microgrids

Bidram¹,

Nasirian

Davoudi

et al. 2017

Cooperative Synchronization in Distributed Microgrid Control

View full text Add to dashboard Cite

“…The control and power management strategies affect the instantaneous operational conditions related to current, voltage quality and frequency regulations, as well as active/reactive power dispatching power sources oriented to the feasibility of the system and, optionally, provide ancillary services [3], [9]- [11]. Particularly, power management level should be in charge of dealing with issues that can affect the performance of the system, like line limits, losses, converter droops, as well as autonomous operation strategies, as presented in [12]- [16].…”

Section: Introductionmentioning

confidence: 99%

Online Energy Management Systems for Microgrids: Experimental Validation and Assessment Framework

Luna

Meng

Díaz

et al. 2018

IEEE Trans. Power Electron.

View full text Add to dashboard Cite

Abstract-Microgrids are energy systems that can work independently from the main grid in a stable and self-sustainable way. They rely on energy management systems to schedule optimally the distributed energy resources. Conventionally, the main research in this field is focused on scheduling problems applicable for specific case studies rather than in generic architectures that can deal with the uncertainties of the renewable energy sources. This paper contributes a design and experimental validation of an adaptable energy management system implemented in an online scheme, as well as an evaluation framework for quantitatively assess the enhancement attained by different online energy management strategies. The proposed architecture allows the interaction of measurement, forecasting and optimization modules, in which a generic generation-side mathematical problem is modeled, aiming to minimize operating costs and load disconnections. The whole energy management system has been tested experimentally in a test bench under both grid-connected and islanded mode. Also, its performance has been proved considering severe mismatches in forecast generation and load. Several experimental results have demonstrated the effectiveness of the proposed EMS, assessed by the corresponding average gap with respect to a selected benchmark strategy and ideal boundaries of the best and worst known solutions.

show abstract

“…One is based on centralized control [9][10][11][12][13], while the other is based on distributed control [14][15][16][17][18][19][20][21][22][23][24][25][26][27]. In order to dispatch the power optimally, in [9][10][11][12], the authors use a centralized controller to make the decisions for generating the optimal power generation commands based on the generation cost.…”

Section: Introductionmentioning

confidence: 99%

“…Although it works very well for most cases, it will lose its effectiveness when two DG units have the same maximum and minimum generation costs. Another work improves upon this idea by introducing a weighted droop expression which considers the nonlinear characteristic of the operation cost function [15]. However, despite the merit that there is no communication overhead, this method lacks adaptability to external changes of the cost without communication, which enables the higher level control to obtain cost information in a timely way.…”

Section: Introductionmentioning

confidence: 99%

Operation Cost Minimization of Droop-Controlled AC Microgrids Using Multiagent-Based Distributed Control

Savaghebi

Guerrero

et al. 2016

Energies

View full text Add to dashboard Cite

Abstract:Recently, microgrids are attracting increasing research interest as promising technologies to integrate renewable energy resources into the distribution system. Although many works have been done on droop control applied to microgrids, they mainly focus on achieving proportional power sharing based on the power rating of the power converters. With various primary source for the distributed generator (DG), factors that are closely related to the operation cost, such as fuel cost of the generators and losses should be taken into account in order to improve the efficiency of the whole system. In this paper, a multiagent-based distributed method is proposed to minimize the operation cost in AC microgrids. In the microgrid, each DG is acting as an agent which regulates the power individually using a novel power regulation method based on frequency scheduling. An optimal power command is obtained through carefully designed consensus algorithm by using sparse communication links only among neighbouring agents. Experimental results for different cases verified that the proposed control strategy can effectively reduce the operation cost.

show abstract

Cost-Prioritized Droop Schemes for Autonomous AC Microgrids

Cited by 112 publications

References 35 publications

Droop-Free Distributed Control of AC Microgrids

Droop-Free Distributed Control of AC Microgrids

Online Energy Management Systems for Microgrids: Experimental Validation and Assessment Framework

Operation Cost Minimization of Droop-Controlled AC Microgrids Using Multiagent-Based Distributed Control

Contact Info

Product

Resources

About