先进绝热压缩空气储能(advanced adiabatic compressed air energy storage,AA-CAES)具备天然的热电联供特性,能够有效缓解供热期出现的弃风问题.若能在规划阶段充分考虑运行需求,进而合理地配置储能容量,则能够在解决弃风问题的前提下,最大程度对燃煤机组进行清洁替代.为此,该文提出了多热源协同互补的AA-CAES系统容量配置模型.首先本模型在能量输入端引入电锅炉预热压缩机入口空气,以增大压缩机输气系数并提高机组产热量;其次在扩展热源端,通过太阳能反射镜场收集光热,以提高系统储热水平;并在计及储能系统各模块实际运行效率约束之余,以运行总成本最小为目标,计算储能容量配置最优解.再次,分析供热时长及环境温度等因素对投资成本回收年限的影响,并计算不同情况下本模型投资成本的回收年限,得出建设本模型可盈利的硬性条件;最后,基于东北某地区供热期及非供热期典型日负荷及气象数据在IEEE-39节点系统完成算例分析,验证所提模型有效性.
A Capacity Allocation Method for Advanced Adiabatic Compressed Air Energy Storage Systems Considering the Synergistic Complementarity of Multiple Heat Sources
Advanced adiabatic compressed air energy storage(AA-CAES)has natural cogeneration characteristics,which can effectively alleviate the problem of wind abandonment during the heating period.Suppose operational needs can be fully considered during the planning stage and energy storage capacity can be reasonably configured.In that case,it can maximize the clean replacement of coal-fired units while solving the problem of wind abandonment.This article proposes a capacity configuration model for AA-CAES systems with multiple heat sources that complement each other.Firstly,this model introduces an electric boiler to preheat the inlet air of the compressor at the energy input end to increase the compressor's gas transmission coefficient and the unit's heating capacity.Secondly,at the expansion heat source end,solar energy is collected through a reflective mirror field to improve the system's heat storage level And taking into account the actual operational efficiency constraints of each module of the energy storage system,to minimize the total operating cost,the optimal solution for energy storage capacity configuration is calculated.Once again,analyze the impact of factors such as the length of the heating period and environmental temperature on the investment cost recovery period and calculate the recovery period of the investment cost of this model under different circumstances to obtain the hard conditions for building this model to be profitable;Finally,based on typical daily loads and meteorological data during heating and non-heating periods in a certain region of Northeast China,a numerical analysis was completed in the IEEE-39 node system to verify the effectiveness of the proposed model.
heating supply periodadvanced adiabatic compressed air energy storagesolar collector modulescapacity configurationcombined heat and power
万方数据
维普
