Abstract
This paper examines recent developments of service restoration in distribution systems (DS). Recent approaches and challenges for service restoration are compared and analyzed. Service restoration is a multi-constraint, multi-objective, combinatorial, non-linear optimization problem. Its main aim is to maximize the number of priority loads restored, while minimizing the number of switching operations, within the shortest time interval. This paper introduces Hybrid Multi-Agent System Approach for service restoration, which uses Distributed Generators (DG) and Electric Vehicles (EVs). EVs are basically batteries, which are charged at low-load conditions and transmit required amount of energy at peak-load conditions back to the grid. Before applying this system in real cases, optimal positions of DGs must be found. In order to do so OpenDSS Distribution network simulator was used for IEEE 123 and 30 Bus System. After that, RM algorithm was developed and implemented under IEEE 30 Bus System. The main goal of this algorithm is to determine the most optimal island ranges according to the given objective functions and constraints. Proposed RM algorithm demonstrated quite promising results as it fulfill all preset requirements.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2nd International Conference on Computing and Network Communications, CoCoNet 2018 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 144-151 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781538659281 |
| DOIs | |
| Publication status | Published - Sep 28 2018 |
| Event | 2nd International Conference on Computing and Network Communications, CoCoNet 2018 - Astana, Kazakhstan Duration: Aug 15 2018 → Aug 17 2018 |
Publication series
| Name | Proceedings of the 2nd International Conference on Computing and Network Communications, CoCoNet 2018 |
|---|
Conference
| Conference | 2nd International Conference on Computing and Network Communications, CoCoNet 2018 |
|---|---|
| Country | Kazakhstan |
| City | Astana |
| Period | 8/15/18 → 8/17/18 |
Fingerprint
Keywords
- Distributed Generators (DG)
- Electric Vehicles (EV)
- Hybrid Multi-Agent System
- Intentional Islanding
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Hardware and Architecture
- Electrical and Electronic Engineering
Cite this
Service Restoration in Power Distribution Systems using Hybrid Multi-Agent Approach. / Abilkhassenov, M.; Auketayeva, A.; Berikkazin, N.; Jamwal, Prashant K.; Nunna, H. S.V.S.Kumar.
Proceedings of the 2nd International Conference on Computing and Network Communications, CoCoNet 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 144-151 8476884 (Proceedings of the 2nd International Conference on Computing and Network Communications, CoCoNet 2018).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Service Restoration in Power Distribution Systems using Hybrid Multi-Agent Approach
AU - Abilkhassenov, M.
AU - Auketayeva, A.
AU - Berikkazin, N.
AU - Jamwal, Prashant K.
AU - Nunna, H. S.V.S.Kumar
PY - 2018/9/28
Y1 - 2018/9/28
N2 - This paper examines recent developments of service restoration in distribution systems (DS). Recent approaches and challenges for service restoration are compared and analyzed. Service restoration is a multi-constraint, multi-objective, combinatorial, non-linear optimization problem. Its main aim is to maximize the number of priority loads restored, while minimizing the number of switching operations, within the shortest time interval. This paper introduces Hybrid Multi-Agent System Approach for service restoration, which uses Distributed Generators (DG) and Electric Vehicles (EVs). EVs are basically batteries, which are charged at low-load conditions and transmit required amount of energy at peak-load conditions back to the grid. Before applying this system in real cases, optimal positions of DGs must be found. In order to do so OpenDSS Distribution network simulator was used for IEEE 123 and 30 Bus System. After that, RM algorithm was developed and implemented under IEEE 30 Bus System. The main goal of this algorithm is to determine the most optimal island ranges according to the given objective functions and constraints. Proposed RM algorithm demonstrated quite promising results as it fulfill all preset requirements.
AB - This paper examines recent developments of service restoration in distribution systems (DS). Recent approaches and challenges for service restoration are compared and analyzed. Service restoration is a multi-constraint, multi-objective, combinatorial, non-linear optimization problem. Its main aim is to maximize the number of priority loads restored, while minimizing the number of switching operations, within the shortest time interval. This paper introduces Hybrid Multi-Agent System Approach for service restoration, which uses Distributed Generators (DG) and Electric Vehicles (EVs). EVs are basically batteries, which are charged at low-load conditions and transmit required amount of energy at peak-load conditions back to the grid. Before applying this system in real cases, optimal positions of DGs must be found. In order to do so OpenDSS Distribution network simulator was used for IEEE 123 and 30 Bus System. After that, RM algorithm was developed and implemented under IEEE 30 Bus System. The main goal of this algorithm is to determine the most optimal island ranges according to the given objective functions and constraints. Proposed RM algorithm demonstrated quite promising results as it fulfill all preset requirements.
KW - Distributed Generators (DG)
KW - Electric Vehicles (EV)
KW - Hybrid Multi-Agent System
KW - Intentional Islanding
UR - http://www.scopus.com/inward/record.url?scp=85056000634&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85056000634&partnerID=8YFLogxK
U2 - 10.1109/CoCoNet.2018.8476884
DO - 10.1109/CoCoNet.2018.8476884
M3 - Conference contribution
T3 - Proceedings of the 2nd International Conference on Computing and Network Communications, CoCoNet 2018
SP - 144
EP - 151
BT - Proceedings of the 2nd International Conference on Computing and Network Communications, CoCoNet 2018
PB - Institute of Electrical and Electronics Engineers Inc.
ER -