Peer-to-Peer Control System for DC Microgrids

Werth, Annette; Andre, Alexis; Kawamoto, Daisuke; Morita, Tadashi; Tajima, Shigeru; Tokoro, Mario; Yanagidaira, Daiki; Tanaka, Kenji

doi:10.1109/tsg.2016.2638462

Cited by 90 publications

(39 citation statements)

References 21 publications

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“…The absence of such functionality might result in a lack of knowledge about the global status of the microgrid, as well as in a sub-optimal allocation and a poor management of the critical resources [49]. Therefore, a new paradigm based on peer-to-peer (P2P) communications could be a promising solution for improving the use of DERs and the network performance in microgrids [17,[51][52][53]. P2P systems are formed by peers.…”

Section: Peer-to-peer Approach For Decentralized Mg's Controlmentioning

confidence: 99%

“…To realize these capabilities, distributed control systems have been proposed. Particularly, recent studies [13,[15][16][17] suggest Peer-to-Peer (P2P) overlay communication networks as a solution with great potential to provide high performance to decentralized microgrid control systems, including scalability, fault-tolerance and robustness.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Locality Algorithm and Peer-to-Peer Communication Infrastructure for Optimizing Network Performance in Smart Microgrids

et al. 2017

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Peer-to-Peer (P2P) overlay communications networks have emerged as a new paradigm for implementing distributed services in microgrids due to their potential benefits: they are robust, scalable, fault-tolerant, and they can route messages even when a large number of nodes are frequently entering or leaving the network. However, current P2P systems have been mainly developed for file sharing or cycle sharing applications where the processes of searching and managing resources are not optimized. Locality algorithms have gained a lot of attention due to their potential to provide an optimized path to groups with similar interests for routing messages in order to achieve better network performance. This paper develops a fully functional decentralized communication architecture with a new P2P locality algorithm and a specific protocol for monitoring and control of microgrids. Experimental results show that the proposed locality algorithm reduces the number of lookup messages and the lookup delay time. Moreover, the proposed communication architecture heavily depends of the lookup used algorithm as well as the placement of the communication layers within the architecture. Experimental results will show that the proposed techniques meet the network requirements of smart microgrids, even with a large number of nodes on stream.

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Section: Peer-to-peer Approach For Decentralized Mg's Controlmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Novel Locality Algorithm and Peer-to-Peer Communication Infrastructure for Optimizing Network Performance in Smart Microgrids

et al. 2017

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“…As for the coordinated control strategies for the MGC, there are three main categories, i.e., the master-slave control [28][29][30], peer-to-peer control [31][32][33] and hierarchical control [34][35][36]. In the master-slave control strategy, one of the converters is known to be the master while the others are the slaves, there is a transfer of information between the master controller and the slave controllers [37].…”

Section: Introductionmentioning

confidence: 99%

MAS-Based Distributed Coordinated Control and Optimization in Microgrid and Microgrid Clusters: A Comprehensive Overview

Han

Zhang

et al. 2018

IEEE Trans. Power Electron.

343

182

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Abstract-The increasing integration of the distributed renewable energy sources highlights the requirement to design various control strategies for microgrids (MGs) and microgrid clusters (MGCs). The multi-agent system (MAS)-based distributed coordinated control strategies shows the benefits to balance the power and energy, stabilize voltage and frequency, achieve economic and coordinated operation among the MGs and MGCs. However, the complex and diverse combinations of distributed generations in multi-agent system increase the complexity of system control and operation. In order to design the optimized configuration and control strategy using MAS, the topology models and mathematic models such as the graph topology model, non-cooperative game model, the genetic algorithm and particle swarm optimization algorithm are summarized. The merits and drawbacks of these control methods are compared. Moreover, since the consensus is a vital problem in the complex dynamical systems, the distributed MAS-based consensus protocols are systematically reviewed. NOMENCLATURE

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“…The impact of the level of transmission losses on P2P trading behaviors of retailers and consumers is discussed in [22] using a credit rating based multi-leader multi-follower game. In [23], the authors use the information and communications technologies (ICT) concept of network overlays and P2P networks to improve the resilience of the network against utility blackouts. ICT for local smart grids is also utilized in [24] to design a P2P model for distributed energy trading and grid control.…”

Section: Introductionmentioning

confidence: 99%

A coalition formation game framework for peer-to-peer energy trading

et al. 2020

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This paper studies social cooperation backed peer-to-peer energy trading technique by which prosumers can decide how they can use their batteries opportunistically for participating in the peer-to-peer trading. The objective is to achieve a solution in which the ultimate beneficiaries are the prosumers, i.e., a prosumer-centric solution. To do so, a coalition formation game is designed, which enables a prosumer to compare its benefit of participating in the peer-to-peer trading with and without using its battery and thus, allows the prosumer to form suitable social coalition groups with other similar prosumers in the network for conducting peer-to-peer trading. The properties of the formed coalitions are studied, and it is shown that 1) the coalition structure that stems from the social cooperation between participating prosumers at each time slot is both stable and optimal, and 2) the outcomes of the proposed peerto-peer trading scheme is prosumer-centric. Case studies are conducted based on real household energy usage and solar generation data to highlight how the proposed scheme can benefit prosumers through exhibiting prosumer-centric properties.

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Peer-to-Peer Control System for DC Microgrids

Cited by 90 publications

References 21 publications

A Novel Locality Algorithm and Peer-to-Peer Communication Infrastructure for Optimizing Network Performance in Smart Microgrids

A Novel Locality Algorithm and Peer-to-Peer Communication Infrastructure for Optimizing Network Performance in Smart Microgrids

MAS-Based Distributed Coordinated Control and Optimization in Microgrid and Microgrid Clusters: A Comprehensive Overview

A coalition formation game framework for peer-to-peer energy trading

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