考虑不确定性和定价补偿的源荷储联合调峰优化

Coordinated peak-regulating optimization of source-load-storage system considering the uncertainty,pricing and compensation

针对大规模新能源并网带来的系统调峰和消纳难题,文中在分析源荷储调峰能力及其互补性的基础上,挖掘系统的调峰能力,促进新能源消纳。首先,考虑火电、独立储能和电动汽车的调峰定价及辅助服务补偿,分析调峰费用分摊与补偿机制,建立深度调峰模型;其次,考虑风光出力的不确定性与相关性,基于核密度估计和Frank Copula函数生成典型风光出力序列,并建立阶梯型需求响应模型以实现响应量的分级补偿,提高需求侧用户的响应积极性;最后,以总运行成本最小为目标,构建考虑不确定性和定价补偿的源荷储联合调峰优化模型,并以改进的IEEE 30节点系统为例进行分析。结果表明,所提模型能够挖掘源荷储三侧资源的灵活调峰潜力,提升系统调峰能力和新能源消纳水平。

In order to solve the problems of system peaking and consumption caused by the integration of large-scale new energy sources into the grid,this paper analyzes the source-load-storage peaking capacity and its complementarities,so as to tap the system′s peaking capacity and promote new energy consumption.Firstly,taking into account the peaking pricing and compensation for ancillary services for thermal power,energy storage and electric vehicles,the peaking cost sharing and compensation mechanism is analyzed and a deep peaking model is established.Secondly,considering the uncertainty and correlation of wind power,a typical wind power sequence based on kernel density estimation and Frank Copula function is generated and a step-type demand response model is established to realize the graded compensation of the response amount.Then,it is possible to improve the response enthusiasm of demand-side users.Finally,with the objective of minimizing the total operating cost,a joint source-load-storage peak-peaking optimization model considering uncertainty and pricing compensation is constructed,and the improved IEEE 30-node system is used as an example for analysis.The results show that the proposed model can increase the system′s peak-shaving capability and renewable energy consumption level by utilizing the flexible peak-shaving potential of resources on the three sides of source,load,and storage.