考虑系统调峰需求与光热电站收益平衡的储热容量优化配置

Optimal Configuration of Heat Storage Capacity Considering the Balance Between System Peak Shaving Demand and Concentrating Solar Power Plant Revenue

储热系统是光热电站参与调峰的基础,若能在规划阶段充分考虑运行需求,进而合理地配置储热系统容量,则能够有效缓解系统调峰压力,提高光热电站运行经济性。为此,该文提出一种兼顾系统运行成本与光热电站收益的优化配置方法,同时考虑光热电站调峰补偿及分摊,进一步优化配置结果。首先,建立系统成本优化模型,利用风光资源的互补特性,对各发电机组出力进行决策,实现系统运行成本最优;其次,在考虑光热电站传统模型的基础上,计及调峰收益与分摊费用建立光热电站个体优化模型,以期提高其投资积极性。采用模糊隶属度函数对模型求解结果进行量化,取两者均值作为综合满意度,并以满意度最大为目标,通过迭代计算得到储热系统容量配置的最优解。最后,基于IEEE-30节点进行算例仿真,得到最优储热容量为3295MW·h,相比不计调峰补偿时运行成本降低3.15万元,验证了所提方法的可行性。

The heat storage system is the basis for the concentrating solar power plant(CSPP)to participate in peak regulation.If the operation requirements can be fully considered in the planning stage,and then the capacity of the heat storage system can be reasonably configured,the peak regulation pressure of the system can be effectively relieved and the operating economy of the CSPP can be improved.To this end,this paper proposes an optimal configuration method that takes into account the system operating costs and the benefits of the CSPP,and considers the peak shaving compensation and apportionment of the CSPP to further optimize the configuration results.First,the system cost optimization model is established,and the complementary characteristics of wind and solar resources are used to make decisions on the output of each generator set to achieve the optimal system operating cost;secondly,on the basis of considering the traditional model of CSPP,taking into account the peak shaving benefits and apportionment Expenses to establish individual optimization model of CSPP,in order to improve its investment enthusiasm.The fuzzy membership function is used to quantify the results of the model solution,and the average of the two is taken as the comprehensive satisfaction.With the maximum satisfaction as the goal,the optimal solution for the capacity configuration of the heat storage system is obtained through iterative calculation.Finally,an example simulation based on IEEE-30 node is carried out,and the optimal heat storage capacity is obtained as 3295MW×h,which is RMB¥31,500 lower than that without peak shaving compensation,which verifies the feasibility of the proposed method.