Flexibility-enhanced Planning of wind and PV Power Plants for Multiple Basin-based Clusters Hybrid with Hydro-wind-PV
The rich sustainable energy resources along a basin are widely valued as the cornerstone to form basin-based clusters hybrid with hydro-wind-photovoltaic (BBCs-HWP). However, the wide-area distribution of hydropower plants and geographic differences of transmission channels result in significant spatial and temporal variation of flexibility, presenting a formidable challenge in accurately determining the capacity of wind and PV power in each BBC-HWP. Thus, this paper introduces a novel framework that intricately nests flexibility characteristics with planning paradigms to coordinate multiple BBC-HWP. We construct comprehensive flexibility evaluation indicators based on three key dimensions: regulation range, speed, and direction. To meet operational boundaries, we develop planning models that seamlessly integrate hydraulic connection, trans-mission constraints, and multiple output characteristics. Furthermore, we introduce a three-stage solution through innovatively cyclic iterations between the planning, evaluation, and correction models. By leveraging Monte Carlo sampling method, our approach enhances the schemes flexibility to adapt to multiple uncertainty scenarios. Simulations on four operational BBC-HWP validate the effectiveness of our planning method, demonstrating its capability to harmonize the flexibility differences in multiple clusters. The results shows that the ratio of downward flexibility deficit in each BBC-HWP is less than 5%, thereby providing actionable schemes for integrated development of multiple resources.
Authors
- Baisi Liu (ORCID: https://orcid.org/0000-0002-7441-0534)
- Xiangyi Chen (ORCID: https://orcid.org/0000-0001-5549-5336)
- Wenju Liang
- Qingxi Duan (ORCID: https://orcid.org/0000-0002-9050-3810)
- Fan Li (ORCID: https://orcid.org/0000-0003-0710-864X)
- Ruoyun Wang
Institutions
- State Grid Corporation of China (China) (CN)
Publication Details
- Published
- 2025-03-28
- DOI
- https://doi.org/10.1109/aeees64634.2025.11019906
- Primary Topic
- Integrated Energy Systems Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- State Grid Corporation of China