A coordinated optimal planning method for generation-grid-load-storage systems based on info-gap decision theory
To overcome the limitations of traditional planning methods where generation， grid， and load are passively matched， and to mitigate the negative impacts of generation-load uncertainties on system operation， this paper proposes a coordinated optimal planning method for generation-grid-load-storage （G...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
zhejiang electric power
2025-07-01
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| Series: | Zhejiang dianli |
| Subjects: | |
| Online Access: | https://zjdl.cbpt.cnki.net/portal/journal/portal/client/paper/d3fa778166ea932116f6874609c18550 |
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| Summary: | To overcome the limitations of traditional planning methods where generation， grid， and load are passively matched， and to mitigate the negative impacts of generation-load uncertainties on system operation， this paper proposes a coordinated optimal planning method for generation-grid-load-storage （GGLS） systems based on info-gap decision theory （IGDT）. Firstly， considering the characteristics of GGLS components and grid operation， a fundamental framework and model for coordinated optimal GGLS planning are established. Secondly， uncertainty sets for renewable generation output and load demand are constructed using IGDT， with a comprehensive deviation coefficient calculation method proposed. Then， to maximize the comprehensive deviation coefficient， a robust GGLS planning model accounting for multiple uncertainties is developed and linearized for solution. Finally， case studies verify the proposed model. Results demonstrate that the coordinated GGLS planning scheme can effectively handle multiple uncertainties from both generation and load sides while maintaining costs within the planner’s acceptable range. |
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| ISSN: | 1007-1881 |