中文摘要：

提高风电预测精度是减少弃风、降低新能源消纳成本的重要手段之一。如何从机制设计入手,提高电网消纳新能源能力,降低全社会消纳新能源成本,成为亟待解决的问题。设计一种激励风电场提升功率预测精度、进而促进新能源消纳的机制,提出了支撑该机制运行的相应模型与方法。采用区间数方法精细量化为消纳新能源而增加的系统运行成本,并设计其在各风电场之间公平、非线性化分摊的机制。该机制满足激励相容原理,能够促使风电场提高日前上报预测出力精度,优化运行管理。基于IEEE 30节点系统的计算验证了该机制与方法的有效性。

英文摘要：

One of the important measures to reduce wind curtailment and the cost of renewable energy accommodation is to improve the accuracy of wind power forecast. How to enhance the grid＇ s capability of integrating renewable energy via mechanism design, so as to reduce the cost of renewable energy accommodation？ This has become an imperative question to be answered. To this end, this paper designs a mechanism to encourage wind farms to improve the accuracy of power forecast and accommodation of renewable energy, and proposes the corresponding model and method. First, the interval method is used to finely measure the increased system operating costs corresponding to renewable energy accommodation. Probability distribution of wind power becomes straightforward via cost expressions. Based on this, the mechanism of fair and non-linear cost allocation among wind farms is designed. The mechanism satisfies the incentive compatibility. Wind farms are encouraged to improve their accuracy of submitted day-ahead forecast wind power and optimize operations and management. A case study based on an IEEE 30-bus system indicates the effectiveness of the proposed mechanism.