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Economical load dispatching method considering power plant dynamics
Author(s) -
Yoshikawa Motonobu,
Toshida Norikazu,
Kawamura Hideo,
Harada Yasushi,
Tsurugai Mitsuo,
Tamura Shigeru
Publication year - 1999
Publication title -
electrical engineering in japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.136
H-Index - 28
eISSN - 1520-6416
pISSN - 0424-7760
DOI - 10.1002/(sici)1520-6416(19990415)127:1<39::aid-eej5>3.0.co;2-5
Subject(s) - quadratic equation , autoregressive–moving average model , quadratic programming , boiler (water heating) , mathematical optimization , quadratic function , control theory (sociology) , autoregressive model , computer science , mathematics , engineering , statistics , geometry , control (management) , artificial intelligence , waste management
To reduce boiler fuel cost, a new ELD (economic load dispatching) method based on a dynamic fuel cost model, which is more accurate than the conventional quadratic model, is proposed. First, an ARMA (autoregressive moving average) model, which is constant‐coefficient linear digital filter, is applied in order to supplement the quadratic model. We call this the supplemented model ARMA‐model‐supplemented quadratic model. By using this model, the model deviations from actual data have been reduced. Second, based on the ARMA‐model‐supplemented quadratic model, we formulated the ELD problem as a quadratic programming problem, where the objective function is the summation of all units' fuel costs over multiple time points and the constraints are the supply–demand balances, the upper and lower generation limits, and the ramp rate limits. This problem can be solved by the standard quadratic programming technique. We call this new ELD method BEST (boiler‐dynamics‐based economical load dispatching) method . Then, in order to make the problem size smaller, we propose a scheme to ignore all time points except for those corresponding to the peak, the bottom, and the steepest point on the forecasted load curve. We call this scheme the sample scheme . Finally, the BEST method with the sample scheme is evaluated by numerical simulations on the Kansai Electric Power Co. system and it is shown that the proposed method can reduce the calculation time without compromising the fuel cost. © 1999 Scripta Technica, Electr Eng Jpn, 127(1): 39–46, 1999