Title :
Simultaneous implementation of optimal Demand Response and security constrained Unit Commitment
Author :
Kia, Mohsen ; Sahebi, Mir Mohammad Reza ; Duki, Esmaeil Abedini ; Hosseini, Seyed Hamid
Author_Institution :
Dept. of Electr. Eng., Sharif Univ. of Technol., Tehran, Iran
Abstract :
Unit Commitment is the optimization process for minimizing the total cost of real power generation meeting the generating units and the system constraints. With the restructuring in power systems, the matter of great concern is the fuel cost and consequently electricity price increase in some hours of the day. Accordingly, the optimum performance of Demand Side Management (DSM) has been gaining great attention recently. In this paper, the effect of the optimum performance of Emergency Demand Response Program (EDRP) on the cost of the unit commitment problem considering the line flow constrains is scrutinized. Due to the fact that the simultaneous adoption of the unit commitment and demand response program is a complex non-linear problem with numerous discrete and continuous variables, it is logical to use the linear programming technique to effectively deal with these parameters. Having the GAMS software and CPLEX method exploited, the proposed method proved its effectiveness by numerically applied to a typical 3-bus and the IEEE 24-bus systems.
Keywords :
demand side management; linear programming; power generation dispatch; power generation scheduling; power markets; 3-bus system; CPLEX method; GAMS software; IEEE 24-bus system; complex nonlinear problem; demand side management; electricity price; emergency demand response program; fuel cost; generating units; line flow constrains; linear programming; optimal demand response; security constrained unit commitment; system constraints; Indexes; Security; Demand Side Management; Emergency Demand Response Program; MILP; Unit Commitment;
Conference_Titel :
Electrical Power Distribution Networks (EPDC), 2011 16th Conference on
Conference_Location :
Bandar Abbas
Print_ISBN :
978-1-4577-0666-0