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Allocation of Operating Reserve to Demand Response Resources in Composite System

Parvania, Masoud | 2009

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 39719 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Fotuhi Firuzabad, Mahmoud
  7. Abstract:
  8. Considerable developments in demand-side real-time telemetry systems allow ISOs to use demand-side provided reserves in ancillary service markets. Presently, many ISOs designed programs to utilize the reserve provided by demand response resources in their market, and deploy them in emergency conditions. These programs are called ancillary service demand response (ASDR) programs. This thesis presents a stochastic programming model to schedule reserve provided by demand response resources in load buses of system. The demand-side reserve resources are modeled by demand response providers (DRP) which have the responsibility of aggregating and managing responses of customers. The reserve provided by DRPs has structural difference with that of generating units. A model for reserve provided by DRPs and its associated cost function is presented in this thesis, and its mixed-integer representation is proposed to be used in the proposed stochastic model. The proposed stochastic model is formulated as a two-stage stochastic mixed-integer programming (SMIP) problem with the first-stage for network-constrained unit commitment and the second-stage for assuring security in system scenarios. The Monte Carlo simulation method is used to simulate random outages of generating units and transmission lines. The scenario reduction method is also adapted to reduce the number of scenarios and computational burden of the model. The proposed model schedules reserve provided by DRPs. Also, it determines commitment states of generating units and their scheduled energy and spinning reserve in the scheduling horizon. The proposed model is tested on a six-bus system and on the IEEE-RTS. The results presented indicate that utilizing reserve provided by demand response resources reduces system operation cost, and risk of involuntary load curtailment for customers.

  9. Keywords:
  10. Stochastic Programming ; Mixed Integer Programming ; Ancillary Services ; Security-Constrained Unit Commitment (SCUC)

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