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Prioritizing demand response programs from reliability aspect

Nikzad, M ; Sharif University of Technology | 2012

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  1. Type of Document: Article
  2. DOI: 10.1109/EEEIC.2012.6221578
  3. Publisher: IEEE , 2012
  4. Abstract:
  5. In this paper, the impact of demand response programs (DRPs) on reliability improvement of the restructured power systems is quantified. In this regard, the demand response (DR) model which treats consistently the main characteristics of the demand curve is developed for modeling. In proposed model, some penalties for customers in case of no responding to load reduction and incentives for customers who respond to reducing their loads are considered. In order to make analytical evaluation of the reliability, a mixed integer DCOPF is proposed by which load curtailments and generation re-dispatches for each contingency state are determined. Both transmission and generation failures are considered in contingency enumeration. The proposed technique is modeled in the GAMS software and solved using CPLEX. Reliability indices for generation-side, transmission network and whole system are calculated using this technique. Different DRPs based on the DR model are implemented over the IEEE RTS 24-bus test system, and reliability indices for different parties are calculated. Afterward, using proposed performance index, the priority of the considered programs is determined from view point of different market participants
  6. Keywords:
  7. Analytical reliability evaluation techniques ; Demand response programs ; Expected energy not supplied ; Expected interruption cost ; Mixed integer linear programming ; Demand response programs ; Expected energy not supplied ; Interruption costs ; Mixed integer linear programming ; Reliability Evaluation ; Mathematical techniques ; Electrical engineering
  8. Source: 2012 11th International Conference on Environment and Electrical Engineering, EEEIC 2012 - Conference Proceedings ; 2012 , Pages 229-234 ; 9781457718281 (ISBN)
  9. URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6221578