NDLI: Multi-agent system framework for rural Indian microgrids

Content Provider	IEEE Xplore Digital Library
Author	Rajesh, R. Dhiwaakar Purusothaman, S.R.R. Bajaj, K.K. Vijayaraghavan, V.
Copyright Year	2013
Description	Author affiliation: Solarillion Found., Chennai, India (Rajesh, R.; Dhiwaakar Purusothaman, S.R.R.; Bajaj, K.K.; Vijayaraghavan, V.)
Abstract	This paper presents a design framework of multi-agent systems (MAS) for the typical rural Indian microgrid. The agents are responsible for the acquisition and computation of emergent data arising from the interaction of the various agent entities within the microgrid. Individual agents and their functions are mapped with operations that are custom-framed for the rural Indian microgrid scenario. The framework developed for the modeling of a single microgrid MAS allows for effective control and better operation. The agents designed in this microgrid typically fall into one of the three broad categories of DG agents, Mu agents and D agents. In the rural Indian context, the Load agent, the Grid Agent, the DER agent and the Storage agent are typically DG agents. The Communication agent is the Mu agent and the Control agent is the D agent. The design philosophy has been proposed keeping in mind that the Indian rural microgrid has renewable sources (namely solar, wind, and biogas), storage, and intermittent grid supply as energy sources.
Sponsorship	Malaysia Sect. IE/IA Joint Chapt.
Starting Page	76
Ending Page	81
File Size	329098
Page Count	6
File Format	PDF
e-ISBN	9781479932382
DOI	10.1109/CEAT.2013.6775603
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-11-18
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Context Density estimation robust algorithm Renewable energy sources Conferences Microgrid Microgrids Functions Renewable Energy Multi-Agents Load modeling Multi-agent systems Electrifying Rural Areas
Content Type	Text
Resource Type	Article

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