论文标题
在风发电中重视不确定性：一种基于代理的优化方法
Valuing Uncertainties in Wind Generation: An Agent-Based Optimization Approach
论文作者
论文摘要
可变可再生能源（例如风能和太阳能）的越来越多的整合将需要新的方法来管理发电不确定性。这些资源的不确定性管理实践在很大程度上集中于修改数量域中此类资源的能源，并从集中式系统操作员考虑这些不确定性。本文提出了一种方法，可以考虑在价格域中考虑这些不确定性，在价格域中，以更高的价格提供了不确定的功率，而不是限制所提供的数量。我们展示了对RTS-GMLC系统的修改版本的系统级影响，在该版本中，风发电机创建的市场提供了对其不确定性的评估，而不是在日前生产预测的情况下。将结果与一种调度方法进行了比较，其中风能以零边缘价格提供，并根据预测百分位数限制。
The increasing integration of variable renewable energy sources such as wind and solar will require new methods of managing generation uncertainty. Existing practices of uncertainty management for these resources largely focuses around modifying the energy offers of such resources in the quantity domain and from a centralized system operator consideration of these uncertainties. This paper proposes an approach to instead consider these uncertainties in the price domain, where more uncertain power is offered at a higher price instead of restricting the quantity offered. We demonstrate system-level impacts on a modified version of the RTS-GMLC system where wind generators create market offers valuing their uncertainties over scenario set of day-ahead production forecasts. The results are compared with a dispatch method in which wind energy is offered at zero marginal price and restricted based on the forecast percentile.
