AI summary

100% confidence

MES research with energy-systems focus on energy, standard. Evolution in utility grid/electric grid from centralized control structures to decentralized control structures ...

Generated by MESSAI extraction pipeline · review against source PDF

Extraction

Reported parameters

1 extracted value

View extracted values

No 3D model is mapped to this paper yet. Parameter ranges above still place reported values on the literature distribution.

What they did

System
REVIEW

What worked

No outcome metrics extracted yet.

Abstract

Evolution in utility grid/electric grid from centralized control structures to decentralized control structures has been changed rapidly. Moreover this is because of increased usage of distributed renewable energy sources in utility grid. As a result this type of evolution necessitates new and advance concepts /methods in control structures of smart electric grid. Multi agent structures (MASs) are consequence of this requirement which is able to handle disturbances due to renewable energy sources, capacity to run in islanding mode, highly distributed nature of grid. Presently multi agent structures are the advancement of artificial intelligence. Agents facilitate a means to bridge the gap between humans and machines by means of interaction and intelligence. With the use of multi agent structures, optimization of control system and enhancement in reliability and intelligence may be realized. Main objective of the review is to give acquaintance of application of multiagent system in hybrid system so that in future it may form basis of multiagent system design with its pros and corns. Authors have discussed various aspects for development of multi-agent structures used in hybrid systems like system power control, optimization techniques with more emphasis on agent communication, agent platform, and MAS architecture. As agent platform and agent communication are the basis of any MAS construction. Proper selection of agent platform and agent communication decides easy and simple design of the MAS. Several aspects of MAS and its results are compared to provide global perspective of the state of the art.

Keywords

Multi-agent systemDistributed computingGridRenewable energySmart gridIntelligent agent

Identifiers

Journal
Journal of Renewable and Sustainable Energy
Year
2015