Open AccessOptimal multi-time scale coordination method for electricity-heating integrated energy system scheduling
Author(s) -
Zhuoran Lin,
Shouxiang Wang,
Shaomin Wang,
Aoyang Han
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/645/1/012067
Subject(s) - scheduling (production processes) , computer science , electricity , mathematical optimization , complementarity (molecular biology) , fair share scheduling , dynamic priority scheduling , real time computing , engineering , mathematics , electrical engineering , schedule , biology , genetics , operating system
Considering that different energy subsystems have different control characteristics in equipment operations, an optimal multi-time scale coordination method for electricity-heating integrated system scheduling is proposed. It merges three optimal scheduling models based on three-time scales of day-ahead, rolling, and real-time. The coordinated optimization of electricity and heating energies with the same dispatch instruction is fulfilled in day-ahead scheduling. And all feasible scheduling instruction cycles are traversed in the rolling stage to improve the stability of system economic operation. The calculation examples show that the proposed overall strategy for multi-time scale scheduling can achieve multi-energy complementarity, and the optimization results have less deviation from the actual load.