Abstract
This paper delves into a scenario-based stochastic optimal planning model designed for networked microgrids in the Indonesian islands. The framework introduces a two-state optimization approach, encompassing both investment and operational aspects, to determine optimal capacities and locations of distributed energy resources within these networked microgrids. To address uncertainties stemming from load demands and renewable generation, Monte Carlo Simulations are employed to generate scenarios, capturing the inherent randomness of parameters. Concurrently, for scenario reduction, the K-means classification method is applied. Numerical results derived from 5-bus and 12-bus networked microgrids validate the effectiveness of the proposed planning model.
| Original language | English |
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| Title of host publication | 2024 IEEE 10th International Power Electronics and Motion Control Conference, IPEMC 2024 ECCE Asia |
| Number of pages | 6 |
| Publisher | IEEE Signal Processing Society |
| Publication date | 2024 |
| Pages | 2287-2292 |
| ISBN (Electronic) | 9798350351330 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 10th IEEE International Power Electronics and Motion Control Conference, IPEMC 2024 ECCE Asia - Chengdu, China Duration: 17 May 2024 → 20 May 2024 |
Conference
| Conference | 10th IEEE International Power Electronics and Motion Control Conference, IPEMC 2024 ECCE Asia |
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| Country/Territory | China |
| City | Chengdu |
| Period | 17/05/2024 → 20/05/2024 |
| Sponsor | China Electrotechnical Society (CES), IEEE Power Electronics Society (PELS), Southwest Jiaotong University |
| Series | 2024 IEEE 10th International Power Electronics and Motion Control Conference, IPEMC 2024 ECCE Asia |
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Bibliographical note
Publisher Copyright:© 2024 IEEE.
Keywords
- faults
- Networked Microgrids
- Scenario generation and reduction
- two-stage stochastic optimization
- uncertainty