Abstract
Plug-in Electric Vehicles (PEVs) are becoming popular due to the clean way of transportation, versatile charging rates and ancillary service provision. They provide high flexibility to the grid operators in balancing the supply and demand and thereby regulating the frequency. Therefore, PEVs can be used as resources for demand adjustment in microgrids which are highly prone to energy imbalances due to the dynamic nature of the load and the intermittent nature of the energy supply from renewable sources. In this paper, an agent based energy management framework for charging the PEVs is proposed and is implemented using JADE. The framework treats PEVs as DR loads and schedules their charging based on realtime energy imbalances in the system and price forecast. The credibility of the framework is tested using a case study system.
| Original language | English |
|---|---|
| Title of host publication | 2014 IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2014 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781479963737 |
| DOIs | |
| Publication status | Published - Feb 12 2014 |
| Externally published | Yes |
| Event | 2014 IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2014 - Mumbai, India Duration: Dec 16 2014 → Dec 19 2014 |
Publication series
| Name | 2014 IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2014 |
|---|
Conference
| Conference | 2014 IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2014 |
|---|---|
| Country | India |
| City | Mumbai |
| Period | 12/16/14 → 12/19/14 |
Fingerprint
Keywords
- Demand side management
- distributed generation
- electricity markets
- microgrids
- multi agent system
- PEV
- VIG and VOG
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Fuel Technology
- Electrical and Electronic Engineering
Cite this
Multi-Agent framework for charging of Plug-in Electric Vehicles in microgrids with demand response. / Battula, Swathi; Sesetti, Anudeep; Kumar Nunna, H. S.V.S.; Doolla, Suryanarayana.
2014 IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2014. Institute of Electrical and Electronics Engineers Inc., 2014. 7042144 (2014 IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2014).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Multi-Agent framework for charging of Plug-in Electric Vehicles in microgrids with demand response
AU - Battula, Swathi
AU - Sesetti, Anudeep
AU - Kumar Nunna, H. S.V.S.
AU - Doolla, Suryanarayana
PY - 2014/2/12
Y1 - 2014/2/12
N2 - Plug-in Electric Vehicles (PEVs) are becoming popular due to the clean way of transportation, versatile charging rates and ancillary service provision. They provide high flexibility to the grid operators in balancing the supply and demand and thereby regulating the frequency. Therefore, PEVs can be used as resources for demand adjustment in microgrids which are highly prone to energy imbalances due to the dynamic nature of the load and the intermittent nature of the energy supply from renewable sources. In this paper, an agent based energy management framework for charging the PEVs is proposed and is implemented using JADE. The framework treats PEVs as DR loads and schedules their charging based on realtime energy imbalances in the system and price forecast. The credibility of the framework is tested using a case study system.
AB - Plug-in Electric Vehicles (PEVs) are becoming popular due to the clean way of transportation, versatile charging rates and ancillary service provision. They provide high flexibility to the grid operators in balancing the supply and demand and thereby regulating the frequency. Therefore, PEVs can be used as resources for demand adjustment in microgrids which are highly prone to energy imbalances due to the dynamic nature of the load and the intermittent nature of the energy supply from renewable sources. In this paper, an agent based energy management framework for charging the PEVs is proposed and is implemented using JADE. The framework treats PEVs as DR loads and schedules their charging based on realtime energy imbalances in the system and price forecast. The credibility of the framework is tested using a case study system.
KW - Demand side management
KW - distributed generation
KW - electricity markets
KW - microgrids
KW - multi agent system
KW - PEV
KW - VIG and VOG
UR - http://www.scopus.com/inward/record.url?scp=84988302652&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84988302652&partnerID=8YFLogxK
U2 - 10.1109/PEDES.2014.7042144
DO - 10.1109/PEDES.2014.7042144
M3 - Conference contribution
T3 - 2014 IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2014
BT - 2014 IEEE International Conference on Power Electronics, Drives and Energy Systems, PEDES 2014
PB - Institute of Electrical and Electronics Engineers Inc.
ER -