Abstract
As more and more distributed energy resources (DER) connect to the power grid, ensuring the stability of the power supply is an increasing concern. Accordingly, the present study proposes a hierarchical microgrid operation architecture consisting of an electric vehicle (EV) charging parking lot energy management system (EVCP-EMS) and a smart home energy management system (SHEMS). In the proposed architecture, the EVCP-EMS with 50 spaces minimizes its power demand cost by participating reserve capacity ancillary service market and determines the best charging time to satisfy with every user's vehicle usage. Moreover, the SHEMS processes optimal residential appliance controls with consideration of both economic benefits and user's preferences. The EVCP-EMS and a number of SHEMSs are integrated with an Aggregator to execute the demand response (DR) when distribution system is during emergency situations via advanced metering infrastructure (AMI). The feasibility of the proposed architecture is demonstrated by IEEE 13-node test distribution system. The simulation results show the proposed methods can minimize user's power demand cost. Besides, the problems of reverse power and over-load can be avoided due to the proposed DR strategies. Overall, the results suggest that the architecture proposed in this study represents a feasible solution for distribution system operators and energy service companies to increase customer's benefit and maintain the power supply security.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 2014 International Conference on Intelligent Green Building and Smart Grid, IGBSG 2014 |
| Publisher | IEEE Computer Society |
| ISBN (Print) | 9781467361231 |
| DOIs | |
| Publication status | Published - 2014 Jan 1 |
| Event | 1st International Conference on Intelligent Green Building and Smart Grid, IGBSG 2014 - Taipei, Taiwan Duration: 2014 Apr 23 → 2014 Apr 25 |
Publication series
| Name | Proceedings of 2014 International Conference on Intelligent Green Building and Smart Grid, IGBSG 2014 |
|---|
Other
| Other | 1st International Conference on Intelligent Green Building and Smart Grid, IGBSG 2014 |
|---|---|
| Country | Taiwan |
| City | Taipei |
| Period | 14-04-23 → 14-04-25 |
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All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Architecture
Cite this
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The distributed energy resources operation for EV charging stations and SHEMS in microgrids. / Liao, J. T.; Lin, C. I.; Chien, C. Y.; Yang, Hong-Tzer.
Proceedings of 2014 International Conference on Intelligent Green Building and Smart Grid, IGBSG 2014. IEEE Computer Society, 2014. 6835256 (Proceedings of 2014 International Conference on Intelligent Green Building and Smart Grid, IGBSG 2014).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - The distributed energy resources operation for EV charging stations and SHEMS in microgrids
AU - Liao, J. T.
AU - Lin, C. I.
AU - Chien, C. Y.
AU - Yang, Hong-Tzer
PY - 2014/1/1
Y1 - 2014/1/1
N2 - As more and more distributed energy resources (DER) connect to the power grid, ensuring the stability of the power supply is an increasing concern. Accordingly, the present study proposes a hierarchical microgrid operation architecture consisting of an electric vehicle (EV) charging parking lot energy management system (EVCP-EMS) and a smart home energy management system (SHEMS). In the proposed architecture, the EVCP-EMS with 50 spaces minimizes its power demand cost by participating reserve capacity ancillary service market and determines the best charging time to satisfy with every user's vehicle usage. Moreover, the SHEMS processes optimal residential appliance controls with consideration of both economic benefits and user's preferences. The EVCP-EMS and a number of SHEMSs are integrated with an Aggregator to execute the demand response (DR) when distribution system is during emergency situations via advanced metering infrastructure (AMI). The feasibility of the proposed architecture is demonstrated by IEEE 13-node test distribution system. The simulation results show the proposed methods can minimize user's power demand cost. Besides, the problems of reverse power and over-load can be avoided due to the proposed DR strategies. Overall, the results suggest that the architecture proposed in this study represents a feasible solution for distribution system operators and energy service companies to increase customer's benefit and maintain the power supply security.
AB - As more and more distributed energy resources (DER) connect to the power grid, ensuring the stability of the power supply is an increasing concern. Accordingly, the present study proposes a hierarchical microgrid operation architecture consisting of an electric vehicle (EV) charging parking lot energy management system (EVCP-EMS) and a smart home energy management system (SHEMS). In the proposed architecture, the EVCP-EMS with 50 spaces minimizes its power demand cost by participating reserve capacity ancillary service market and determines the best charging time to satisfy with every user's vehicle usage. Moreover, the SHEMS processes optimal residential appliance controls with consideration of both economic benefits and user's preferences. The EVCP-EMS and a number of SHEMSs are integrated with an Aggregator to execute the demand response (DR) when distribution system is during emergency situations via advanced metering infrastructure (AMI). The feasibility of the proposed architecture is demonstrated by IEEE 13-node test distribution system. The simulation results show the proposed methods can minimize user's power demand cost. Besides, the problems of reverse power and over-load can be avoided due to the proposed DR strategies. Overall, the results suggest that the architecture proposed in this study represents a feasible solution for distribution system operators and energy service companies to increase customer's benefit and maintain the power supply security.
UR - http://www.scopus.com/inward/record.url?scp=84903824373&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84903824373&partnerID=8YFLogxK
U2 - 10.1109/IGBSG.2014.6835256
DO - 10.1109/IGBSG.2014.6835256
M3 - Conference contribution
SN - 9781467361231
T3 - Proceedings of 2014 International Conference on Intelligent Green Building and Smart Grid, IGBSG 2014
BT - Proceedings of 2014 International Conference on Intelligent Green Building and Smart Grid, IGBSG 2014
PB - IEEE Computer Society
ER -