计及深度调峰辅助服务与多典型日的年度发电计划优化模型

Annual power generation plan optimization model considering deep peak regulation auxiliary services and multiple typical days

在调峰市场背景下,机组调峰成本与辅助服务费用对发电企业影响较大,据此,提出了计及深度调峰辅助服务与多典型日的年度发电计划优化模型。在场景获取方面,提出了考虑负荷与风电耦合的典型场景聚类方法,有效解决了月内多个典型日场景的模拟问题。在模型方面,考虑了深度调峰成本、辅助服务补偿费用、售电利益与碳交易成本,建立了发电企业参与深度调峰辅助服务市场的收益约束,确保市场各主体能从中获利。考虑到该模型属于非线性混合整数规划模型,结合线性化策略和CPLEX求解器实现了高效求解。最后,基于修正算例系统进行了仿真分析,验证了所提模型的有效性。

In the context of the deep peak regulation auxiliary service market,the costs of unit peak regulation and auxiliary service fees have a significant impact on power generation companies.To address this issue,this paper proposes an optimization model for annual generation plan that takes into account deep peak regulation auxiliary services and multiple typical days.To achieve effective scene acquisition,a typical scene clustering method with considering the coupling of load and wind power is proposed,thereby effectively solving the simulation problem of multiple typical daily scenes in a month.By considering the deep peak regulation cost,auxiliary services compensation,benefit from electricity sales and carbon trading cost,the model established the income constraints of generation companies participating in the auxiliary service market to ensure profitability for market entities.As the model is a nonlinear mixed integer programming problem,this paper uses linearization strategy and CPLEX solver to achieve an efficient solution.Finally,simulation analysis is conducted using a modified example system,verifying the effectiveness of the proposed model.