Identification of hot water end-use process of electric water heaters from energy measurements
Identification of hot water end-use process of electric water heaters from energy measurements
复制标题
从能量测量识别电热水器热水最终使用过程
DOI：
10.1016/j.epsr.2020.106625
复制
发表时间：
2020
影响因子：
3.9
通讯作者：
Almassalkhi, Mads
中科院分区：
文献类型：
--
作者：
Khurram, Adil;Malhamé, Roland;Duffaut Espinosa, Luis;Almassalkhi, Mads
本文提出了一种算法的参数识别的随机热水最终使用过程，驱动一个均匀的人口恒温控制的电热水器（EWH）。通常，仅收集计量间隔消耗数据（kWh），并且公用事业和聚合器无法观察热水最终使用过程。然而，用于需求响应（DR）的EWHs的可用性与热水最终使用过程密切相关。在这种情况下，热水的最终使用过程被建模为两个状态的马尔可夫链（使用/不使用），这使得开关切换过程表现为马尔可夫更新过程（MRP）。通过构造一组第一时间问题，得到了MRP的转移概率密度的矩。这些问题的解决，通过建立一个系统的耦合偏微分方程的EWH人口的温度演化特征。用于估计参数的方法中的关键量是EWH在感兴趣的时间段内处于ON的总时间。它被称为总忙碌时间。在这种方法中的总忙碌时间是一个随机变量，其解析表达式的时刻被开发为计量窗口长度的函数。后者的表达式成为一个热水需求模型识别算法，使用基于代理的模拟EWHs验证的基础。
This paper presents an algorithm for the identification of parameters for a stochastic hot water end-use process that drives a homogeneous population of thermostatically controlled electric water heaters (EWH). Usually, only metered interval consumption data (kWh) is collected and the hot water end-use process is unobservable to utility and aggregators. However, the availability of EWHs for demand response (DR) is closely coupled with the hot water end-use process. In this context, the hot water end-use process is modeled as a two-state Markov chain (Use / No use), which causes the thermostatic ON-OFF switching process to behave as a Markov renewal process (MRP). A set of first passage-time problems is developed to obtain the moments of the transition probability densities of the MRP. These problems are addressed by establishing a system of coupled partial differential equations characterizing the temperature evolution of the EWH population. A key quantity in the methodology for estimating the parameters is the total time an EWH is ON within a period of interest. It is referred to as the total busy time. Total busy time in this approach is a random variable for which analytical expressions of the moments are developed as a function of the metered window length. The latter expressions become the basis of a hot water demand model identification algorithm which is validated using agent-based simulations of EWHs.
影响因子：
11.2
作者：
M. Muratori;M. C. Roberts;R. Sioshansi;V. Marano;G. Rizzoni
通讯作者：
M. Muratori;M. C. Roberts;R. Sioshansi;V. Marano;G. Rizzoni
电力系统分散储能装置的平均场控制以缓解高峰负荷
DOI：
10.1109/cdc.2013.6760669
发表时间：
2013
期刊：
52nd IEEE Conference on Decision and Control
影响因子：
--
作者：
A. Kizilkale;R. Malhamé
通讯作者：
R. Malhamé