LI Xianshan, HU Jiaqi, ZHANG Yuanhang, et al. Optimal Scheduling Strategy for Joint Operation of Wind-solar-water-storage Consortium Participating in Power Market Under Multiple Time Scales[J]. 2025, (22): 8879-8892.
DOI:
LI Xianshan, HU Jiaqi, ZHANG Yuanhang, et al. Optimal Scheduling Strategy for Joint Operation of Wind-solar-water-storage Consortium Participating in Power Market Under Multiple Time Scales[J]. 2025, (22): 8879-8892. DOI: 10.13334/j.0258-8013.pcsee.241483.
Optimal Scheduling Strategy for Joint Operation of Wind-solar-water-storage Consortium Participating in Power Market Under Multiple Time Scales
The market-oriented operation of wind and solar power generation is a crucial way to promote large-scale consumption of new energy. However
the volatility and uncertainty of wind and solar power put them at a disadvantage in medium- and long-term contract allocation
facing the risk of contract deviation assessments
which significantly undermines their market profitability. Therefore
this paper proposes a hybrid wind-solar-hydro-storage system
which integrates renewable sources with cascade hydropower and pumped storage
to participate in the market. To this end
we develop a three-stage operational strategy and model that spans medium- and long-term transactions
contract adjustment
and contract settlement coupled with spot trading. In the first stage
a bidding decision model for the medium- and long-term market is developed
aiming to maximize the expected benefits of the hybrid system and sign medium- and long-term time-of-use financial contracts. In the second stage
to mitigate the deviation profit recovery of wind and solar power in medium- and long-term contracts
an internal D−2 day-ahead wind-solar-hydro contract coordination and compensation negotiation model is constructed to obtain the wind-solar-hydro contract adjustment plan. In the third stage
the hybrid system participates in the day-ahead market
balancing the decomposition benefits of medium-and long-term contracts and the day-ahead market benefits. An optimized scheduling model considering the uncertainties of wind and solar output and electricity prices is established to obtain the day-ahead scheduling plan for each entity. The case study results demonstrate that the proposed method enhances the market competitiveness and execution capability of the hybrid system
promotes new energy consumption
and achieves a win-win situation for multiple stakeholders.