In the problem of building optimal bidding strategies for generation companies based on estimating the rival＇s bids,historical data and experts experience can be used as the basis of scientific decision for generation companies.In this paper,method that can support use of historical data and experience with experts for building bidding strategies for generation companies considering transmission capacity constraints is proposed based on uncertain theory.The two-level model of uncertain programming composed of market clearing problem and optimal bidding strategies problem is presented,and the hybrid solution algorithm composed of artificial neutral network（ANN） and improved genetic algorithm（GA） is designed.Finally,the numerical examples with 3-bus and IEEE 30-bus systems are used to verify the proposed method.The results show that the model and the solution algorithm are feasible and effective.%在基于估计竞争对手的报价系数来构造发电公司最优竞价策略的问题中,综合使用历史数据和专家经验能为决策者提供更为科学的决策依据。本文在不确定理论框架内,提出了能够同时支持使用历史数据和专家经验的考虑输电容量约束的发电公司竞价策略方法,给出了由市场清除问题和最优报价策略问题组成的两层不确定约束规划模型,设计了一种由神经网络和改进遗传算法组成的混合求解算法。用3节点系统和IEEE 30节点系统对所提出的模型和算法进行了计算分析,结果表明本文的方法是可行和有效的。
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