Abstract
Low carbon economy calls for an increasing penetration of renewable energy in power systems. In this paper, we develop a theoretical framework to study the optimal planning for a microgrid system, considering the renewable energy target. We model the renewable energy target as a planning and operational constraint. Then we develop a two-stage stochastic programming problem to minimize the overall cost of the microgrid. In Stage-1, the microgrid planner determines the optimal investment in renewable energy generations, e.g., from solar energy and wind energy. In Stage-2, the microgrid operator coordinates the energy supply and demand to minimize the daily operational cost. With realistic data, we numerically show the optimal investment in the capacities of solar energy and wind energy with respect to the renewable energy target. We also show the optimal power supply from renewable generation and the main grid.
Original language | English |
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Title of host publication | PECON 2016 - 2016 IEEE 6th International Conference on Power and Energy, Conference Proceeding |
Editors | Zulhani Rasin, Raja Nor Firdaus Kashfi Raja Othman, Mohd Rodhi Sahid |
Place of Publication | Piscataway NJ USA |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 356-360 |
Number of pages | 5 |
ISBN (Electronic) | 9781509025473, 9781509025466 |
ISBN (Print) | 9781509025480 |
DOIs | |
Publication status | Published - 2017 |
Externally published | Yes |
Event | IEEE International Conference on Power and Energy 2016 - Melaka, Malaysia Duration: 28 Nov 2016 → 29 Nov 2016 Conference number: 6th https://site.ieee.org/pecon2016/ https://ieeexplore-ieee-org.ezproxy.lib.monash.edu.au/xpl/conhome/7945564/proceeding (Proceedings) |
Conference
Conference | IEEE International Conference on Power and Energy 2016 |
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Abbreviated title | PECON 2016 |
Country/Territory | Malaysia |
City | Melaka |
Period | 28/11/16 → 29/11/16 |
Internet address |
Keywords
- Capacity planning
- Daily operation
- Demand response
- Microgrid
- Renewable energy target
- Smart grid
- Solar energy
- Stochastic programming
- Wind energy