Applications of Multi-Agent Systems in Smart Grids: A survey

Merabet, Ghezlane Halhoul; Essaaidi, Mohamed; Talei, Hanaa; Abid, Mohamed Riduan; Khalil, Nacer; Madkour, Mohcine; Benhaddou, Driss

doi:10.1109/icmcs.2014.6911384

Cited by 69 publications

(32 citation statements)

References 17 publications

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“…The adaptive protection scheme should be capable of some self-awareness, self-reconfiguration and self-healing. More recently, the idea of using a multi-agent system based protection system for the smart grid was proposed [174][175][176][177]. An agent is usually referred to as any hardware or software that is capable of intelligent and autonomous operation based on its intended design objectives [178,179].…”

Section: Advanced Relay Communication and Protection Coordination (Armentioning

confidence: 99%

Future Challenges and Mitigation Methods for High Photovoltaic Penetration: A Survey

et al. 2018

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Integration of high volume (high penetration) of photovoltaic (PV) generation with power grids consequently leads to some technical challenges that are mainly due to the intermittent nature of solar energy, the volume of data involved in the smart grid architecture, and the impact power electronic-based smart inverters. These challenges include reverse power flow, voltage fluctuations, power quality issues, dynamic stability, big data challenges and others. This paper investigates the existing challenges with the current level of PV penetration and looks into the challenges with high PV penetration in future scenarios such as smart cities, transactive energy, proliferation of plug-in hybrid electric vehicles (PHEVs), possible eclipse events, big data issues and environmental impacts. Within the context of these future scenarios, this paper reviewed the existing solutions and provides insights to new and future solutions that could be explored to ultimately address these issues and improve the smart grid's security, reliability and resiliency.

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Section: Advanced Relay Communication and Protection Coordination (Armentioning

confidence: 99%

Future Challenges and Mitigation Methods for High Photovoltaic Penetration: A Survey

et al. 2018

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“…For this issue to be addressed, expert systems and heuristic techniques are utilized; however, in this case, flexibility and scalability of the system are still compromised . A major solution to all these concerns lie within distributed control systems that give liberty of local decision power, and multi‐agent systems (MASs) promise real‐time and localized control with flexibility, scalability, and fault‐tolerant behavior .…”

Section: Related Workmentioning

confidence: 99%

Multi-agent-based sharing power economy for a smart community

et al. 2017

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Summary In this paper, a multi‐agent‐based locally administrated power distribution hub (PDH) for social welfare is proposed that optimizes energy consumption, allocation, and management of battery energy storage systems (ESSs) for a smart community. Initially, formulation regarding optimum selection of a power storage system for a home (in terms of storage capacity) is presented. Afterwards, the concept of sharing economy is inducted in the community by demonstrating PDH. PDH is composed of multiple small‐scale battery ESSs (each owned by community users), which are connected together to form a unified‐ESS. Proposed PDH offers a localized switching mechanism that takes decision of whether to buy electricity from utility or use unified‐ESS. This decision is based on the price of electricity at ‘time of use’ and ‘state of charge’ of unified‐ESS. In response to power use or share, electricity bills are created for individual smart homes by incrementing or decrementing respective submeters. There is no buying or selling of power from PDH; there is power sharing with the concept of ‘no profit, no loss’. The objective of the proposed PDH is to limit the purchase of electricity on ‘high priced’ hours from the utility. This not only benefits the utility at crucial hours but also provides effective use of power at the demand side. The proposed multi‐agent system depicts the concept of sharing power economy within a community. Finally, the proposed model is analyzed analytically, considering on‐peak, off‐peak, and mid‐level (mid‐peak) prices of a real‐time price signal during 24 h of a day. Results clearly show vital financial benefits of ‘sharing power economy’ for end users and efficient use of power within the smart community. Copyright © 2017 John Wiley & Sons, Ltd.

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“…Logenthiran, Srinivasan & Wong underscored that MAS is one of the fastest growing domains in agent oriented technology which deals with autonomous decision modeling. Moreover, it has been showing to be crucial in SG operations [16]. MAS has spread to diverse SG applications in the field of power systems restoration, security and protection, control, monitoring, energy storage and maintenance scheduling, and electric power market simulation [17].…”

Section: Introductionmentioning

confidence: 99%