基于启发式机组组合算法的水火风光储系统供需平衡方法

Supply and Demand Balance Method of Hydro-thermal-wind-solar-storage System Based on Heuristic Unit Commitment Algorithm

在构建新型电力系统背景下,新能源高占比的水火风光储系统成为电力规划工作的主要研究对象。在实际规划分析工作中,需对水火风光储系统在长时间尺度上的供需平衡情况进行高频次迭代计算以实现对敏感边界的定量分析,这对平衡分析方法计算效率提出更高要求。综合考虑各类电源工作特性和新能源出力概率特性,提出了基于运行规则的启发式机组组合算法,实现全年尺度逐日确定机组开机方式,进一步构建了适用于水火风光储系统的供需平衡分析模型。最后基于区域电网算例开展仿真验证,结果证明所提模型及方法可行有效,为长时间尺度水火风光储系统电力供需平衡分析提供了参考。

Under the background of building a new-type power systems,the hydro-thermal-wind-solar-storage system with a high proportion of new energy has become the main research object of power system planning.It is necessary to perform high-frequency iterative calculations on the long-term supply-demand balance of the hydro-thermal-wind-solar-storage system to achieve quantitative analysis of sensitive boundaries,which puts forward higher requirements for the calculation efficiency of the analysis method.Considering the working characteristics of various power sources and the output probability characteristics of new energy sources,this paper proposed a heuristic unit commitment algorithm based on operating rules,which realizes the daily determination of the unit start-up mode throughout the year,and further constructed a supply-demand balance model.Finally,a case study based on a regional power grid example proved that the proposed model and method were feasible and effective,which provides reference for analyzing long-term supply-demand balance of the hydro-thermal-wind-solar-storage system.