Micro-grid Grid Outage Management using Multi Agent Systems

Raju, Leo; Morais, Antony Amalraj; Rathnakumar, Ramyaa; Ponnivalavan, Soundaryaa; Thavam, L. D.

doi:10.1016/j.egypro.2017.05.113

Cited by 12 publications

(6 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to certain studies, using a basic inversion factor model and local energy management systems improves construction. In [ 162 ], the authors made similar observations to [ 160 ] while highlighting the benefits of MAS. According to the authors [ 163 ], centralized systems outperformed MAS systems using the matched information set.…”

Section: Application Of Agents In Sgssupporting

confidence: 52%

See 1 more Smart Citation

Multi-Agent Systems for Resource Allocation and Scheduling in a Smart Grid

Binyamin

Slama

2022

Sensors

View full text Add to dashboard Cite

Multi-Agent Systems (MAS) have been seen as an attractive area of research for civil engineering professionals to subdivide complex issues. Based on the assignment’s history, nearby agents, and objective, the agent intended to take the appropriate action to complete the task. MAS models complex systems, smart grids, and computer networks. MAS has problems with agent coordination, security, and work distribution despite its use. This paper reviews MAS definitions, attributes, applications, issues, and communications. For this reason, MASs have drawn interest from computer science and civil engineering experts to solve complex difficulties by subdividing them into smaller assignments. Agents have individual responsibilities. Each agent selects the best action based on its activity history, interactions with neighbors, and purpose. MAS uses the modeling of complex systems, smart grids, and computer networks. Despite their extensive use, MAS still confronts agent coordination, security, and work distribution challenges. This study examines MAS’s definitions, characteristics, applications, issues, communications, and evaluation, as well as the classification of MAS applications and difficulties, plus research references. This paper should be a helpful resource for MAS researchers and practitioners. MAS in controlling smart grids, including energy management, energy marketing, pricing, energy scheduling, reliability, network security, fault handling capability, agent-to-agent communication, SG-electrical cars, SG-building energy systems, and soft grids, have been examined. More than 100 MAS-based smart grid control publications have been reviewed, categorized, and compiled.

show abstract

Section: Application Of Agents In Sgssupporting

confidence: 52%

“…The authors in [ 162 ] developed a MAS framework based on inversion factors to govern office building systems as part of a more considerable investigation. The improved MAS system supports programmable agent limitations, which may be altered without having to rewrite the entire system.…”

Section: Application Of Agents In Sgsmentioning

confidence: 99%

Multi-Agent Systems for Resource Allocation and Scheduling in a Smart Grid

Binyamin

Slama

2022

Sensors

View full text Add to dashboard Cite

show abstract

“…The agents can act autonomously or semi-autonomously, with local or global information [8]. MAS technology is finding wide range of applications in the power system domain such as optimal power flow [9,10], power system restoration [11][12][13][14][15][16][17], electricity market operation [18][19][20][21], power system control [22][23][24][25][26] and protection [27][28][29]. The focus of this paper will be restricted to the application of MAS in the fundamental resource allocation aspects of the power grid namely, Economic Dispatch (ED) and Unit Commitment (UC).…”

Section: Introductionmentioning

confidence: 99%

Multi-Agent Systems for Resource Allocation and Scheduling in a Smart Grid

Nair

Hossen

Campion

et al. 2018

Technol Econ Smart Grids Sustain Energy

View full text Add to dashboard Cite

With the increasing integration of Distributed Energy Resources (DER) in the power grid, a decentralized approach becomes essential for scheduling and allocation of resources in a smart grid. Economic Dispatch (ED) and Unit Commitment (UC) are the two major resource allocation problems that play critical role in the safe and stable operation of a grid system. The uncertainty associated with renewable energy sources have made the resource allocation problems even more challenging for grid operators. The future grid will have a higher generation mix of renewable energy sources and a large load of Electrical vehicles, with the possibility of bi-directional power flow. This complex smart grid system necessitates the development of a decentralized approach to resource allocation problem, which allows inter-node communication and decision making. Multi-agent systems (MAS) is a promising platform to decentralize the traditional centralized resource allocation aspects of smart grid. This paper presents a comprehensive literature review on the application of MAS to Economic Dispatch (ED) and Unit Commitment (UC) in smart grids.

show abstract

“…A multi-agent-based algorithm was proposed for grid outage management for two MG systems in an earlier study [62]. The MGs included solar PV modules, wind energy, load, and battery storage.…”

Section: Energy Management Based On Multi-agent Systemsmentioning

confidence: 99%

A Review of Energy Management and Power Management Systems for Microgrid and Nanogrid Applications

2021

View full text Add to dashboard Cite

In the past few years, the application and research community has expressed a lot of interest in managing energy and power while using distributed generation systems. Electricity generation and its usage coordination are vital aspects of energy efficiency that can help in saving energy, decreasing energy costs, and fulfilling global emission objectives. Owing to the relevance of the topic, here, the researchers have presented a comparative and critical review of recent developments in the fields of energy management systems (EMSs) and power management systems (PMSs). Furthermore, the researchers also reviewed the various EMS and PMS methods that could be used for reviewing microgrid (MG) and nanogrid (NG) systems. The EMS for MG and NG systems helps in addressing important economic objectives like minimisation of operational costs after optimising the fuel costs, emission costs, and battery degradation costs, while also improving the life of the MG devices. Alternatively, the PMS helps in addressing technical objectives like improving the stability, flexibility, reliability, and quality of MG and NG systems. The researchers have also discussed the drawbacks and challenges affecting the widespread application of EMSs and PMSs.

show abstract

Micro-grid Grid Outage Management using Multi Agent Systems

Cited by 12 publications

References 14 publications

Multi-Agent Systems for Resource Allocation and Scheduling in a Smart Grid

Multi-Agent Systems for Resource Allocation and Scheduling in a Smart Grid

Multi-Agent Systems for Resource Allocation and Scheduling in a Smart Grid

A Review of Energy Management and Power Management Systems for Microgrid and Nanogrid Applications

Contact Info

Product

Resources

About