Experimental Validation of Peer-to-Peer Distributed Voltage Control System

Almasalma, Hamada; Claeys, Sander; Mikhaylov, Konstantin; Haapola, Jussi; Pouttu, Ari

doi:10.3390/en11051304

Cited by 14 publications

(20 citation statements)

References 31 publications

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“…Distributed energy coordination and sharing algorithms aim to minimize the energy cost of each prosumer whilst meeting the aggregate energy demand and satisfying their individual generator output capacity. These algorithms have been widely investigated for use in energy networks in applications ranging from economic dispatch problems [8,15], decentralized energy management [11,21], scheduling algorithms for smart grids [26], distributed energy trading in microgrids [12,13,16,27], distributed optimal power flow [28] and distributed voltage control [29] etc. without examining the underlying communication network.…”

Section: Literature Reviewmentioning

confidence: 99%

Distributed Adaptive Primal Algorithm for P2P-ETS over Unreliable Communication Links

et al. 2018

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Algorithms for distributed coordination and control are increasingly being used in smart grid applications including peer-to-peer energy trading and sharing to improve reliability and efficiency of the power system. However, for realistic deployment of these algorithms, their designs should take into account the suboptimal conditions of the communication network, in particular the communication links that connect the energy trading entities in the energy network. This study proposes a distributed adaptive primal (DAP) routing algorithm to facilitate communication and coordination among proactive prosumers in an energy network over imperfect communication links. The proposed technique employs a multi-commodity flow optimization scheme in its formulation with the objective to minimize both the communication delay and loss of energy transactional messages due to suboptimal network conditions. Taking into account realistic constraints relating to network delay and communication link capacity between the peers, the DAP routing algorithm is used to evaluate network performance using various figures of merit such as probability of signal loss, message delay, congestion and different network topologies. Further, we address the link communication delay problem by redirecting traffic from congested links to less utilized ones. The results show that the proposed routing algorithm is robust to packet loss on the communication links with a 20% reduction in delay compared with hop-by-hop adaptive link state routing algorithm.

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Section: Literature Reviewmentioning

confidence: 99%

Distributed Adaptive Primal Algorithm for P2P-ETS over Unreliable Communication Links

et al. 2018

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“…Also here, communication is fit for a decentralised approach, with a gossiping protocol to spread information between the active component, and with a distributed optimisation scheme based on dual decomposition to calculate the voltage set points. A hardware-in-the-loop implementation of this approach validated its performance, using a wireless device-to-device communication system (Almasalma, 2018). Its setup is represented in Figs.…”

Section: Going Completely Decentral: Peer-to-peermentioning

confidence: 97%

Decentralised Control and Peer-To-Peer Cooperation in Smart Energy Systems

Deconinck

2021

Shaping an Inclusive Energy Transition

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In order to achieve a decarbonised energy system, change has to happen from electricity generation to the transmission grid over the distribution level all the way down to the industrial loads and the local households. To get involvement of communities in this energy transition, local participation is needed, so that the citizens can be aware of the impact of their energy-related actions on environment and climate. However, the energy system has typically been organised in a top-down fashion, with centralised approaches and little active control, resulting in passive grid and ditto customers. Smart grids have put active customers and consumer engagement as one of the cornerstones of a more intelligent energy infrastructure, which can be organised differently. Indeed, in different niches decentralised approaches have been used successfully (decoupled microgrids, peer-to-peer networks, etc.). This chapter explores how decentralised approaches can fit the future energy system and how it can empower people for engaging in the energy transition.

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“…The authors in [15] dealt again with microgrids. They investigated whether distributed voltage control systems can be a serious alternative to centralised approaches.…”

Section: Laboratory Testsmentioning

confidence: 99%