Abstract

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.

Highlights

  • A microgrid (MG, Figure 1) is a low voltage distributed network formed by various distributed energy resources (DERs) consisting of a variety of loads, microsources (MS), energy storages systems (SS), and other incipient elements like electric vehicles (EVs) [1,2,3]

  • Microgrids have emerged as a powerful, resilient and sustainable power grid concept that can integrate renewable energy systems for power generation [4,5], and manage in real time a large amount of distributed energy resources [6,7], Microgrids can operate in grid-connected mode and islanded mode disconnected from the point of common coupling (PCC) with the main grid in case of faults [8,9,10]

  • The presented experimental results show that the number of lookup messages and, the lookup latency network, are lower with the proposed locality-routing algorithm (LRA) scheme than with other

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Summary

Introduction

A microgrid (MG, Figure 1) is a low voltage distributed network formed by various distributed energy resources (DERs) consisting of a variety of loads, microsources (MS), energy storages systems (SS), and other incipient elements like electric vehicles (EVs) [1,2,3]. Operation andand entails several applications intelligent monitoring and control of distributed energy resources, automation, data networking likelike intelligent monitoring and control of distributed energy resources, automation, data networking and other tasks that can improve the efficiency of the system [12,13,14]. To realize these capabilities, and other tasks that can improve the efficiency of the system [12,13,14]. This implies that each node communicates with each other create extensibility and adaptive reconfiguration This implies that each node communicates withtoeach self-organizing overlay structures onstructures top of theon subjacent physical networks [18,19]. Other to create self-organizing overlay top of the subjacent physical networks [18,19]

Peer-to-Peer Approach for Decentralized MG’s Control
Description
Network Requirements for Smart Microgrids
Proposed Locality-Routing Algorithm
Proposal
Network Layer
P2P Layer
Application Layer
Different
Experimental Results
Algorithms Comparison
Communication
Communication Architectures Comparison
Network Performance Analysis
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