Open AccessResearch on Scheduling Model and Control Strategy of Ice Storage Air Conditioning in Urban Power Grid
Author(s) -
Liming Meng,
Lei Chen,
Tuo Jiang,
Fei Xu,
Xingchen Yao,
Hao Liu,
Shuai Yang
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/295/5/052003
Subject(s) - thermal energy storage , wind power , air conditioning , environmental science , scheduling (production processes) , automotive engineering , computer science , real time computing , engineering , operations management , mechanical engineering , electrical engineering , ecology , biology
In this paper, a two-layer scheduling model for ice storage central air conditioning is established: the system level optimization control of the upper layer and the energy management system of the lower massive decentralized air conditioning system. The system level consists of thermal power, hydropower, wind turbines and ice storage air conditioning polymerization models, with the goal of minimizing the abandonment of wind and water, generating the scheduling results of generator set and ice storage air conditioning, and delivering them to the lower energy management system; After receiving the scheduling result issued by the upper layer, the large-scale ice storage air-conditioning is dispatched by the load aggregator, and the minimum scheduling deviation is targeted, and the direct load control is performed under the condition that the user comfort is satisfied to complete the upper-level scheduling plan. Through simulation examples, it is proved that the ice storage air-conditioning realizes the effectiveness of the disposal of abandoned water and abandoned wind under the premise of ensuring user comfort.