TY - JOUR
T1 - Electrical load tracking analysis for demand response in energy intensive enterprise
AU - Wang, Zhaojie
AU - Gao, Feng
AU - Zhai, Qiaozhu
AU - Guan, Xiaohong
AU - Wu, Jiang
AU - Liu, Kun
PY - 2013/12
Y1 - 2013/12
N2 - It is important for both energy intensive enterprises (EIEs) and the utilities to analyze the electrical load tracking capacity of EIEs, so as to utilize resources in EIEs, and promote the participation of EIEs in Demand Response (DR) programs. An electrical load tracking problem integrating power generations self-scheduling (PGSS) and flexible load adjustment (FLA) is introduced. The relationships among PGSS, FLA, and electrical load tracking capacity are discussed. A method to decide whether a load curve can be well-tracked is presented, and reference ideas for adjusting load curve are given too. Mathematical programming models are also presented for discussing and testing the effect of electrical load tracking. The proposed methods and models are tested in numerical simulations.
AB - It is important for both energy intensive enterprises (EIEs) and the utilities to analyze the electrical load tracking capacity of EIEs, so as to utilize resources in EIEs, and promote the participation of EIEs in Demand Response (DR) programs. An electrical load tracking problem integrating power generations self-scheduling (PGSS) and flexible load adjustment (FLA) is introduced. The relationships among PGSS, FLA, and electrical load tracking capacity are discussed. A method to decide whether a load curve can be well-tracked is presented, and reference ideas for adjusting load curve are given too. Mathematical programming models are also presented for discussing and testing the effect of electrical load tracking. The proposed methods and models are tested in numerical simulations.
KW - Electrical load tracking
KW - Energy intensive enterprise
KW - Industrial power systems
KW - Load management
UR - https://www.scopus.com/pages/publications/84890408058
U2 - 10.1109/TSG.2013.2257186
DO - 10.1109/TSG.2013.2257186
M3 - 文章
AN - SCOPUS:84890408058
SN - 1949-3053
VL - 4
SP - 1917
EP - 1927
JO - IEEE Transactions on Smart Grid
JF - IEEE Transactions on Smart Grid
IS - 4
M1 - 6665148
ER -