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Simultaneous implementation of optimal demand response and security constrained unit commitment

Kia, M ; Sharif University of Technology | 2011

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  1. Type of Document: Article
  2. Publisher: 2011
  3. Abstract:
  4. 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
  5. Keywords:
  6. Continuous variables ; Demand response ; Demand response programs ; Demand side managements ; Electricity prices ; Emergency Demand Response Program ; Fuel cost ; Generating unit ; Line flows ; Linear programming techniques ; MILP ; Nonlinear problems ; Optimization process ; Optimum performance ; Security constrained unit commitment ; System constraints ; Total costs ; Unit commitment problem ; Unit commitments ; Constrained optimization ; Electric power generation ; Electricity ; Costs
  7. Source: 16th Electrical Power Distribution Conference, EPDC 2011, 19 April 2011 through 20 April 2011 ; April , 2011 , Page(s): 1 - 5 ; 9789644631498 (ISBN)
  8. URL: http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=5876392&url=http%3A%2F%2Fieeexplore.ieee.org%2Fxpls%2Fabs_all.jsp%3Farnumber%3D5876392