Sicheng Xu, Ruoyi Zhang, Jingwei Chen, 等. Full-stage risk management of forecast deviation for large-scale renewable energy participating in the spot market[J]. Energy Conversion and Economics, 2026,7(3).
Sicheng Xu, Ruoyi Zhang, Jingwei Chen, et al. Full-stage risk management of forecast deviation for large-scale renewable energy participating in the spot market[J]. Energy Conversion and Economics, 2026, 7(3).
Sicheng Xu, Ruoyi Zhang, Jingwei Chen, 等. Full-stage risk management of forecast deviation for large-scale renewable energy participating in the spot market[J]. Energy Conversion and Economics, 2026,7(3).DOI: 10.1049/enc2.70044.
Sicheng Xu, Ruoyi Zhang, Jingwei Chen, et al. Full-stage risk management of forecast deviation for large-scale renewable energy participating in the spot market[J]. Energy Conversion and Economics, 2026, 7(3).DOI: 10.1049/enc2.70044.
Full-stage risk management of forecast deviation for large-scale renewable energy participating in the spot market
摘要
Abstract
Against the backdrop of renewable energy achieving full market integration
renewable energy forecasting deviations have become a critical bottleneck constraining the clearing efficiency of electricity spot markets
hindering the rational allocation of costs
and threatening the secure operation of the power system. A framework comprising a full-stage governance system covering planning
medium- to long-term trading
spot markets
and settlement is adopted in this paper. The experiences of global markets in addressing forecast deviations of renewable energy through multi-stage
tiered governance are systematically reviewed in the paper. During the planning stage
a probabilistic physical defence boundary is established to address hidden physical gaps arising from random fluctuations that deterministic planning cannot account for. In the medium- to long-term stage
risks are mitigated through a combination of physical resource aggregation and financial hedging tools
including bilateral contracts
forward contracts
reliability options
and parametric insurance. In the spot market
approaches such as self-forecast verification
rolling forecast corrections
and a multi-level substitution mechanism for abnormal data are adopted. During the settlement stage
incentive-compatible mechanisms are used to improve the accuracy of renewable energy forecasting. Finally
suggestions on full-stage risk management for large-scale renewable energy participating in the spot market are proposed in this paper.