| Autor: |
Jiang Hua, Yang Yan, Wenjun Li, Yuan Jian, Zhang Yuwei |
| Rok vydání: |
2019 |
| Předmět: |
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| Zdroj: |
Proceedings of PURPLE MOUNTAIN FORUM 2019-International Forum on Smart Grid Protection and Control ISBN: 9789811397783 |
| DOI: |
10.1007/978-981-13-9779-0_61 |
| Popis: |
The paper has proposed a multi-point optimized access method of distributed generators aiming at peak shaving of feeder in distribution system. First of all, typical daily load curve of the feeder has been analyzed to get different peaking need of different seasons during operation. Based on this, multi-point optimized access model has been established, taking optimized peaking shaving effect and penetration of renewable energy as the objective, and taking no power returned and capacity limit as the constraint condition. Genetic algorithm has been used to solve the problem. The result shows that it is more refined to consider operation condition during the optimization. And the dual objectives can result in an optimized capacity interval for reference during project implementation. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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