Abstract
Penetration of distributed generation brings the advantages of on-site generation into the operation of distribution systems but makes the structure of power systems complex. Such a situation calls for the conversion of traditional power grid to a modern grid called smart grid. It improves the efficiency, reliability and quality of the services provided by the utilities due to the extensive communication, sensing and intelligence associated and embedded within smart grid. Smart distribution system is a vital part of smart grids which comprises of distributed generation, data communication medium to supervise and control the system performance. The data communication also facilitates the data exchange between the end-users and the utility. In such distribution systems, occurrence of a fault is more common due to the complexity involved and hence reliability is one of the most important factors to be taken care of. In this paper, an agent based intelligent restoration system is proposed and applied to a modified IEEE 123 node distribution system simulated using Open Distribution System Simulator (Open DSS). The novelty of the proposed agent system involves minimizing the network losses while restoring the service to the loads as per their priority without violating the network constraints. The results obtained proved that agent based restoration frameworks are successful in solving complicated multi objective and multi constraints problems effectively in distributed fashion.
| Original language | English |
|---|---|
| Title of host publication | 2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 2341-2347 |
| Number of pages | 7 |
| ISBN (Electronic) | 9781467371506 |
| DOIs | |
| Publication status | Published - Oct 27 2015 |
| Externally published | Yes |
| Event | 7th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2015 - Montreal, Canada Duration: Sep 20 2015 → Sep 24 2015 |
Publication series
| Name | 2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015 |
|---|
Conference
| Conference | 7th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2015 |
|---|---|
| Country | Canada |
| City | Montreal |
| Period | 9/20/15 → 9/24/15 |
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ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Electrical and Electronic Engineering
Cite this
Multi agent based restoration for smart distribution system with microgrids. / Felix, Aneena; Nunna, H. S.V.S.Kumar; Doolla, Suryanarayana; Shukla, Anshuman.
2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 2341-2347 7309989 (2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Multi agent based restoration for smart distribution system with microgrids
AU - Felix, Aneena
AU - Nunna, H. S.V.S.Kumar
AU - Doolla, Suryanarayana
AU - Shukla, Anshuman
PY - 2015/10/27
Y1 - 2015/10/27
N2 - Penetration of distributed generation brings the advantages of on-site generation into the operation of distribution systems but makes the structure of power systems complex. Such a situation calls for the conversion of traditional power grid to a modern grid called smart grid. It improves the efficiency, reliability and quality of the services provided by the utilities due to the extensive communication, sensing and intelligence associated and embedded within smart grid. Smart distribution system is a vital part of smart grids which comprises of distributed generation, data communication medium to supervise and control the system performance. The data communication also facilitates the data exchange between the end-users and the utility. In such distribution systems, occurrence of a fault is more common due to the complexity involved and hence reliability is one of the most important factors to be taken care of. In this paper, an agent based intelligent restoration system is proposed and applied to a modified IEEE 123 node distribution system simulated using Open Distribution System Simulator (Open DSS). The novelty of the proposed agent system involves minimizing the network losses while restoring the service to the loads as per their priority without violating the network constraints. The results obtained proved that agent based restoration frameworks are successful in solving complicated multi objective and multi constraints problems effectively in distributed fashion.
AB - Penetration of distributed generation brings the advantages of on-site generation into the operation of distribution systems but makes the structure of power systems complex. Such a situation calls for the conversion of traditional power grid to a modern grid called smart grid. It improves the efficiency, reliability and quality of the services provided by the utilities due to the extensive communication, sensing and intelligence associated and embedded within smart grid. Smart distribution system is a vital part of smart grids which comprises of distributed generation, data communication medium to supervise and control the system performance. The data communication also facilitates the data exchange between the end-users and the utility. In such distribution systems, occurrence of a fault is more common due to the complexity involved and hence reliability is one of the most important factors to be taken care of. In this paper, an agent based intelligent restoration system is proposed and applied to a modified IEEE 123 node distribution system simulated using Open Distribution System Simulator (Open DSS). The novelty of the proposed agent system involves minimizing the network losses while restoring the service to the loads as per their priority without violating the network constraints. The results obtained proved that agent based restoration frameworks are successful in solving complicated multi objective and multi constraints problems effectively in distributed fashion.
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U2 - 10.1109/ECCE.2015.7309989
DO - 10.1109/ECCE.2015.7309989
M3 - Conference contribution
T3 - 2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015
SP - 2341
EP - 2347
BT - 2015 IEEE Energy Conversion Congress and Exposition, ECCE 2015
PB - Institute of Electrical and Electronics Engineers Inc.
ER -