Abstract
Uncertainties of renewable energy sources (RES) power generation and load demand have detrimental effects on the microgrid operation. In this paper, a robust optimization approach based on modified grey wolf optimizer is proposed to determine the optimal energy management for a typical micro-grid with regard to uncertainties. Furthermore, the influence of uncertainty budget for RES power generation and load demand on operation cost and pollutant gas emissions are studied. Simulation results show a good reduction both in operation cost and pollution emissions as well verify the effectiveness of our proposed approach.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1515-1519 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781728151694 |
| DOIs | |
| Publication status | Published - 9 Nov 2020 |
| Event | 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020 - Virtual, Kristiansand, Norway Duration: 9 Nov 2020 → 13 Nov 2020 |
Publication series
| Name | Proceedings of the 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020 |
|---|
Conference
| Conference | 15th IEEE Conference on Industrial Electronics and Applications, ICIEA 2020 |
|---|---|
| Country/Territory | Norway |
| City | Virtual, Kristiansand |
| Period | 9/11/20 → 13/11/20 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- energy management
- microgrid
- modified grey wolf optimizer
- robust optimization
- uncertainty
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