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Electrical Load Tracking Analysis for Demand Response in Energy Intensive Enterprise

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6 Author(s)
Zhaojie Wang ; SKLMS Lab., Xi'an Jiaotong Univ., Xi'an, China ; Feng Gao ; Qiaozhu Zhai ; Xiaohong Guan
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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.

Published in:

IEEE Transactions on Smart Grid  (Volume:4 ,  Issue: 4 )