Tri-Level Scheduling Model Considering Residential Demand Flexibility of Aggregated HVACs and EVs Under Distribution LMP
Tri-Level Scheduling Model Considering Residential Demand Flexibility of Aggregated HVACs and EVs Under Distribution LMP
复制标题
考虑配电 LMP 下聚合 HVAC 和 EV 的住宅需求灵活性的三级调度模型
DOI：
10.1109/tsg.2021.3075386
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发表时间：
2021
影响因子：
9.6
通讯作者：
T. Kuruganti
中科院分区：
文献类型：
--
作者：
Xiaofei Wang;F. Li;Jin Dong;M. Olama;Qiwei Zhang;Qingxin Shi;Byungkwon Park;T. Kuruganti
住宅负荷，特别是供暖，通风和空调（HVAC）和电动汽车（EV），具有很大的潜力，以提供需求的灵活性，这是一个属性的网格交互式高效建筑（GEB）。在这种新的范式下，EV和HVAC聚合器模型，本文首先开发代表车队的GEB，其中的聚合参数的基础上获得的数据生成和最小二乘参数估计（DG-LSPE），它可以处理异构HVAC的新方法。在此基础上，建立了基于竞争性配电运营的三级竞价调度框架。前两个层次形成了一个双层模型，以优化聚合商的支付，并表示负载聚合器和配电系统运营商（DSO）之间的相互依赖性使用DLMP，和第三层是分配最优的负荷聚合到所有居民提出的基于优先级列表的需求调度算法。最后，一个修改后的IEEE 33总线系统的案例研究说明了三个主要的技术原因支付减少由于需求的灵活性：负荷转移，DLMP阶跃变化，和功率损耗。它们可以作为更好的决策的一般准则，为未来的规划和需求响应程序的操作。
Residential loads, especially heating, ventilation and air conditioners (HVACs) and electric vehicles (EVs), have great potentials to provide demand flexibility which is an attribute of grid-interactive efficient buildings (GEB). Under this new paradigm, EV and HVAC aggregator models are first developed in this paper to represent the fleet of GEBs, in which the aggregated parameters are obtained based on a new approach of data generation and least squares parameter estimation (DG-LSPE), which can deal with heterogeneous HVACs. Then, a tri-level bidding and dispatching framework is established based on competitive distribution operation with distribution locational marginal price (DLMP). The first two levels form a bilevel model to optimize the aggregators’ payment and to represent the interdependency between load aggregators and the distribution system operator (DSO) using DLMP, and the third level is to dispatch the optimal load aggregation to all residents by the proposed priority list-based demand dispatching algorithm. Finally, case studies on a modified IEEE 33-Bus system illustrate three main technical reasons of payment reduction due to demand flexibility: load shifts, DLMP step changes, and power losses. They can be used as general guidelines for better decision-making for future planning and operation of demand response programs.
影响因子：
3.8
作者：
A. Conejo;Carlos Ruiz
通讯作者：
A. Conejo;Carlos Ruiz