Abstract
As two effective ways to enhance power system reliability, self-healing control and microgrids have been implemented in advanced distribution systems. This paper presents a quantitative approach to assess the benefits of deploying self-healing control and/or a microgrid in improving distribution system reliability. The proposed method utilizes time-sequential Monte Carlo simulation method and further integrates the service restoration and three-phase power flow constraints to accommodate practical distribution system complexity. To reduce the computation burden in searching for optimal service restoration strategy, this paper proposes a heuristic algorithm to find a practical service restoration strategy according to the topology constraints and the constraints of three-phase power flow. Tests on a four-feeder distribution system show that both the system-level reliability and the critical load level reliability are significantly improved after deploying the self-healing control and microgrid.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings of 2021 IEEE PES Innovative Smart Grid Technologies Europe |
| Subtitle of host publication | Smart Grids: Toward a Carbon-Free Future, ISGT Europe 2021 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781665448758 |
| DOIs | |
| State | Published - 2021 |
| Event | 11th IEEE PES Innovative Smart Grid Technologies Europe, ISGT Europe 2021 - Espoo, Finland Duration: Oct 18 2021 → Oct 21 2021 |
Publication series
| Name | Proceedings of 2021 IEEE PES Innovative Smart Grid Technologies Europe: Smart Grids: Toward a Carbon-Free Future, ISGT Europe 2021 |
|---|
Conference
| Conference | 11th IEEE PES Innovative Smart Grid Technologies Europe, ISGT Europe 2021 |
|---|---|
| Country/Territory | Finland |
| City | Espoo |
| Period | 10/18/21 → 10/21/21 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
All Science Journal Classification (ASJC) codes
- Computer Vision and Pattern Recognition
- Information Systems and Management
- Energy Engineering and Power Technology
- Renewable Energy, Sustainability and the Environment
- Electrical and Electronic Engineering
- Artificial Intelligence
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