Multiagent-Based Distributed Load Shedding for  Islanded Microgrids

Xi, Wu; Jiang, Ping; Jing, Lu

doi:10.3390/en7096050

Cited by 11 publications

(2 citation statements)

References 18 publications

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“…P2P systems avoid a single point of failure and are much scalable because the available resources grow with the number of nodes joining the network. Decentralized architectures for power systems are usually implemented through Multi-Agent Systems (MAS) technology [44][45][46][47]. In this structure each DER unit is considered as an agent.…”

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

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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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%

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

et al. 2017

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“…This technique could be quite fruitful in analysis of the load shedding behaviour. The study conducted by Wu et al [41] uses multi-agents in order to retain better level of frequencies during islanding mechanism. The study have used distributed load shedding policy for identifying the global data with an aid of neighboring communication.…”

Section: Miscellaneous Techniquesmentioning

confidence: 99%

Assessing Effectiveness of Research for Load Shedding in Power System

Raghu

Manjunatha²

2017

IJECE

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The research on loadshedding issues dates back to 1972 and till date many studies were introduced by the research community to address the issues. A closer review of existing techniques shows that still the effectiveness of loadshedding schemes are not yet benchmarked and majority of the existing system just considers the techniques to be quite symptomatic to either frequency or voltage. With an evolution of smart grids, majority of the controlling features of power system and networks are governed by a computational model. However, till date not enough evidences of potential computational model has been seen that claims to have better balance between the load shedding schemes and quality of power system performance. Hence, we review some significant literatures and highlights the research gap with the existing technqiues of load balancing that is meant for assisting the researcher to conclude after the selection process of existing system as a reference for future direction of study.

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