Abstract
This paper presents an intelligent agent based energy market management system to incorporate energy storage systems into onsite energy markets in the distribution systems with microgrids. Using this platform two different types of storage market models are proposed to promote storage systems participation in the onsite intra or inter microgrid energy trading markets. The paper also proposes bidding strategies for energy storage systems to participate in onsite-energy markets. The efficacy of the proposed market management system is proved using a distribution system with two microgrids simulated on OpenDSS. The necessary agents in the proposed system are developed using Java Agent DEvelopment (JADE) framework. From simulation results, it is found that the proposed system brings in harmony between supply and demand of the microgrid by engaging local or global or both storage systems and thereby reduces the price of the electricity in the system.
| Original language | English |
|---|---|
| Title of host publication | 2018 IEEE Industry Applications Society Annual Meeting, IAS 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781538645369 |
| DOIs | |
| Publication status | Published - Nov 26 2018 |
| Externally published | Yes |
| Event | 2018 IEEE Industry Applications Society Annual Meeting, IAS 2018 - Portland, United States Duration: Sep 23 2018 → Sep 27 2018 |
Publication series
| Name | 2018 IEEE Industry Applications Society Annual Meeting, IAS 2018 |
|---|
Conference
| Conference | 2018 IEEE Industry Applications Society Annual Meeting, IAS 2018 |
|---|---|
| Country | United States |
| City | Portland |
| Period | 9/23/18 → 9/27/18 |
Fingerprint
Keywords
- Auction Mechanisms
- Electricity Markets
- Energy Storage Systems
- Microgrids
- Multi-Agent Systems
- Transactive Energy
ASJC Scopus subject areas
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
Cite this
Multi-agent based energy trading platform for energy storage systems in distribution systems with inter-connected microgrids. / Sesetti, Anudeep; Kumar Nunna, H. S.V.S.; Doolla, Suryanarayana; Rathore, Akshay K.
2018 IEEE Industry Applications Society Annual Meeting, IAS 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8544691 (2018 IEEE Industry Applications Society Annual Meeting, IAS 2018).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Multi-agent based energy trading platform for energy storage systems in distribution systems with inter-connected microgrids
AU - Sesetti, Anudeep
AU - Kumar Nunna, H. S.V.S.
AU - Doolla, Suryanarayana
AU - Rathore, Akshay K.
PY - 2018/11/26
Y1 - 2018/11/26
N2 - This paper presents an intelligent agent based energy market management system to incorporate energy storage systems into onsite energy markets in the distribution systems with microgrids. Using this platform two different types of storage market models are proposed to promote storage systems participation in the onsite intra or inter microgrid energy trading markets. The paper also proposes bidding strategies for energy storage systems to participate in onsite-energy markets. The efficacy of the proposed market management system is proved using a distribution system with two microgrids simulated on OpenDSS. The necessary agents in the proposed system are developed using Java Agent DEvelopment (JADE) framework. From simulation results, it is found that the proposed system brings in harmony between supply and demand of the microgrid by engaging local or global or both storage systems and thereby reduces the price of the electricity in the system.
AB - This paper presents an intelligent agent based energy market management system to incorporate energy storage systems into onsite energy markets in the distribution systems with microgrids. Using this platform two different types of storage market models are proposed to promote storage systems participation in the onsite intra or inter microgrid energy trading markets. The paper also proposes bidding strategies for energy storage systems to participate in onsite-energy markets. The efficacy of the proposed market management system is proved using a distribution system with two microgrids simulated on OpenDSS. The necessary agents in the proposed system are developed using Java Agent DEvelopment (JADE) framework. From simulation results, it is found that the proposed system brings in harmony between supply and demand of the microgrid by engaging local or global or both storage systems and thereby reduces the price of the electricity in the system.
KW - Auction Mechanisms
KW - Electricity Markets
KW - Energy Storage Systems
KW - Microgrids
KW - Multi-Agent Systems
KW - Transactive Energy
UR - http://www.scopus.com/inward/record.url?scp=85059954470&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85059954470&partnerID=8YFLogxK
U2 - 10.1109/IAS.2018.8544691
DO - 10.1109/IAS.2018.8544691
M3 - Conference contribution
AN - SCOPUS:85059954470
T3 - 2018 IEEE Industry Applications Society Annual Meeting, IAS 2018
BT - 2018 IEEE Industry Applications Society Annual Meeting, IAS 2018
PB - Institute of Electrical and Electronics Engineers Inc.
ER -