Distributed Secondary Control Strategy for Microgrid Operation with Dynamic Boundaries

Du, Yuhua; Liu, Xiaonan; Wang, Jianhui; Lukic, Srdjan

doi:10.1109/tsg.2018.2879793

Cited by 106 publications

(44 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…6 where P 1 increases and P i , i = 2, 3, 4, 5, 6, decreases. During t = [3,9] sec, the microgrid output power P O remains almost equal to P L = 1600 kW , as shown in Fig. 7.…”

Section: Simulationsmentioning

confidence: 84%

Proportional Power Sharing Consensus in Distributed Generators

Aalipour

Das

2018

Volume 2: Control and Optimization of Connected and Automated Ground Vehicles; Dynamic Systems and Control Education; Dynamics

View full text Add to dashboard Cite

This research addresses distributed proportional power sharing of inverter-based Distributed Generators (DGs) in microgrids under variations in maximum power capacity of DGs. A microgrid can include renewable energy resources such as wind turbines, solar panels, fuel cells, etc. The intermittent nature of such energy resources causes variations in their maximum power capacities. Since DGs in microgrids can be regarded as Multi-Agent-Systems (MASs), a consensus algorithm is designed to have the DGs generate their output power in proportion to their maximum capacities under capacity fluctuations. A change in power capacity of a DG triggers the consensus algorithm which uses a communication map at the cyber layer to estimate the corresponding change. During the transient time of reaching a consensus, the delivered power may not match the load power demand. To eliminate this mismatch, a control law is augmented that consists of a finite time consensus algorithm embedded within the overarching power sharing consensus algorithm. The effectiveness of the distributed controller is assessed through simulation of a microgrid consisting of a realistic model of inverter-based DGs.

show abstract

“…6 where P 1 increases and P i , i = 2, 3, 4, 5, 6, decreases. During t = [3,9] sec, the microgrid output power P O remains almost equal to P L = 1600 kW , as shown in Fig. 7.…”

Section: Simulationsmentioning

confidence: 84%

Proportional Power Sharing Consensus in Distributed Generators

Aalipour

Das

2018

Volume 2: Control and Optimization of Connected and Automated Ground Vehicles; Dynamic Systems and Control Education; Dynamics

View full text Add to dashboard Cite

show abstract

“…MG topology changes are addressed in [251]. It is claimed that seamless transitions during dynamic MG reconfiguration and proper power management among distributed generators are achieved.…”

Section: ) Consensus Improvements In Ac-mgsmentioning

confidence: 99%

Distributed Control Strategies for Microgrids: An Overview

et al. 2020

View full text Add to dashboard Cite

There is an increasing interest and research effort focused on the analysis, design and implementation of distributed control systems for AC, DC and hybrid AC/DC microgrids. It is claimed that distributed controllers have several advantages over centralised control schemes, e.g., improved reliability, flexibility, controllability, black start operation, robustness to failure in the communication links, etc. In this work, an overview of the state-of-the-art of distributed cooperative control systems for isolated microgrids is presented. Protocols for cooperative control such as linear consensus, heterogeneous consensus and finitetime consensus are discussed and reviewed in this paper. Distributed cooperative algorithms for primary and secondary control systems, including (among others issues) virtual impedance, synthetic inertia, droopfree control, stability analysis, imbalance sharing, total harmonic distortion regulation, are also reviewed and discussed in this survey. Tertiary control systems, e.g., for economic dispatch of electric energy, based on cooperative control approaches, are also addressed in this work. This review also highlights existing issues, research challenges and future trends in distributed cooperative control of microgrids and their future applications.

show abstract

“…15 Multi-level control framework controllable devices therein [144,145]. Furthermore, as a natural extension of sectionalized distribution systems with networked microgrids, dynamic microgrids have been proposed and developed in the past years [146][147][148]. Particularly, dynamic microgrids can be seen as microgrids with dynamic boundaries, which features high operation flexibility and grid resiliency.…”

Section: Multi-level Controlmentioning

confidence: 99%

A review of the applications of fuel cells in microgrids: opportunities and challenges

Zheng

et al. 2019

BMC Energy

Self Cite

View full text Add to dashboard Cite

Since the last two decades, microgrid, as one typical structure in smart grid framework, has been receiving increasing attention in the world. Meanwhile, fuel cell (FC), as one promising power source, has redrawn the attention of both academia and industry since the beginning of 21th century. Some encouraging achievements in FC technology have been realized thanks to the efforts taken in the last years. Due to this, it is seen that FC, as a clean and efficient energy source, is penetrating into different fields. Among the applications, integrating FCs into microgrids has shown interesting advantages on improving the performance of microgrids and promoting the use of the hydrogen energy. Some ongoing projects have shown that FCs of different power scales can be integrated into microgrids smartly and in different manners. Along with the advantages carried by the combination of the two technologies, many challenges lying on multiple domains are faced in the process. The challenges can be from the FC, the microgrid, and the integration of these two technologies. In this review paper, the advantages of integrating FCs into microgrids are summarized after recalling the knowledge background of FC. The challenges and ongoing researches on FCs and FCs based microgrids are then reviewed. Based on the analysis, the research directions are then extracted in view of the challenges.

show abstract

Distributed Secondary Control Strategy for Microgrid Operation with Dynamic Boundaries

Cited by 106 publications

References 40 publications

Proportional Power Sharing Consensus in Distributed Generators

Proportional Power Sharing Consensus in Distributed Generators

Distributed Control Strategies for Microgrids: An Overview

A review of the applications of fuel cells in microgrids: opportunities and challenges

Contact Info

Product

Resources

About