温控负荷(temperature control loads,TCLs)灵活性可行域的有效量化和聚合是其响应电价与调控信号的前提.由于TCLs能量在时间上耦合,且设备调节特性和物理参数各异,具有较高异质性,现有聚合方法面临计算复杂度高、适配性差等问题.该文基于极端场景法建立了通用虚拟电池(virtual battery,VB)模型,即通过一套标准电池参数描述资源灵活性,其通用形式使得聚合可行域可以按一定规则线性求和获得.在此基础上,提出一种基于虚拟电池模型的外逼近闵可夫斯基聚合方法,并从数学上不失一般性地对不同异质性设备聚合的有效性进行了证明与推广.最后,提出了考虑系统灵活性供需平衡的负荷聚合商日前优化调度模型.算例结果表明,所提温控负荷可行域聚合方法在提高了外逼近精度的同时保证了较高的计算效率.相比传统模型,所提聚合模型有着更好的优化性能.
Feasible Region Aggregation Method for Load Regulation of Minkowski Heat Pump Based on External Approximation of VB Model
Effective quantification and aggregation of the flexibility feasible domain of Temperature Control Loads(TCLs)is a prerequisite for their response to tariff and regulation signals.Due to the coupling of TCLs energy in time and the high heterogeneity of each device with different regulation characteristics and physical parameters,the existing aggregation methods face the problems of high computational complexity and poor adaptability.Based on the extreme scenario method,a generic Virtual Battery(VB)model is established,i.e.,the resource flexibility is described by a set of standard battery parameters,and its generic form makes the aggregation feasible domain can be obtained by linear summation according to certain rules.On this basis,an externally approximated Minkowski aggregation method based on the VB model is proposed,and the validity of the aggregation of devices with different heterogeneity is demonstrated and generalised mathematically without loss of generality.Finally,a load aggregator day-ahead optimal scheduling model is proposed to consider the supply-demand balance of system flexibility.Example results show that the proposed temperature-controlled load feasible domain aggregation method improves the outer approximation accuracy while ensuring high computational efficiency.Compared with the traditional model,the proposed aggregation model has better optimisation performance.
temperature control loadsdemand-side flexibilityvirtual battery modelexternal approximation Minkowski sumfeasible region aggregation
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