Abstract
Microgrid is becoming an interesting power distribution system to the utility companies owing to its advantages over conventional distribution systems. However, when adopting microgrids, system reliability and cost-effectiveness must be within the acceptable range. In this regard, the microgrid concept has included the feature of automatically restoring the loads according to their importance when a disturbance faced as shortest time as possible. To fulfill the objective of restoration optimization, dynamic priority listing model must be adopted for sequentially restoring the loads according to their importance. In this work, a dynamic priority listing model-including four criticality levels, three sub-criticality levels, which includes the demand side management (DSM) programs, and one special critical level-is proposed. The model outputs the SAIFI, SAIDI and ENS reliability indices, as well as cost of interruptions. Finally, this model is optimized using intelligent fuzzy decision making (FDM) technique, where the reliability indices are calculated using Monte Carlo Simulation (MCS).
| Original language | English |
|---|---|
| Title of host publication | 2022 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2022 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781665443296 |
| DOIs | |
| State | Published - 2022 |
Publication series
| Name | Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference |
|---|---|
| Volume | 2022-April |
| ISSN (Print) | 2160-8555 |
| ISSN (Electronic) | 2160-8563 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Criticality Levels
- Microgrid
- Priority List
- Reliability Indices
- Restoration
ASJC Scopus subject areas
- Electrical and Electronic Engineering
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