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Interruptible Load Contracts and Demand Response Program Implementation in Stochastic Long-Term SCUC with Wind Farm Consideration

Abedini Duki, Esmaeil | 2011

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 42584 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical engineering
  6. Advisor(s): Hosseini, Sayyed Hamid
  7. Abstract:
  8. Providing more choices to customers for determining the cost of their required reliability levels is one of the most important targets of restructured power system. Centralized management of reliability in Vertically Integrated Utility (VIU) applying the same policies to different customers is replaced with decentralized management allowing customers to participate in reliability management based on their required reliability levels. In this thesis, impact of emergency demand response programs, interruptible load contract and wind farms on the long-term security constrained unit commitment has been studied. Random outages of generators and transmission lines, load forecast inaccuracies as well as wind uncertainty are modeled by the stochastic programming based on Monte carol approach. In large scale applications, the scenario reduction method is introduced for enhancing a tradeoff between calculation speed and accuracy of long-term SCUC solution. For each scenario by the use of progressive hedging stochastic programming, the optimization problem is decomposed into many deterministic long-term SCUC problems. Lagrangian relaxation is used to decompose sub-problems with long-term SCUC into tractable short-term SCUC sub-problems without resource constraints. Accordingly, penalty prices (Lagrangian multipliers for fuel and emission constraints, ect.) are signals to coordinate the master problem and small-scale sub-problems. Because of high among of variables and computations time the benders method is used to decomposition of long-term SCUC problem. Agreements of interruptible load Contract are an appropriate approach that specifies each customer’s reliability level. In emergency demand response programs customer changes his demand based on the self and cross elasticity and value which is considered for the incentive in the contract. Finally, the performance of the proposed method is demonstrated by applying it to 6-bus system and IEEE 118-bus system
  9. Keywords:
  10. Stochastic Programming ; Wind Farms ; Demand Response ; Long-term Security Constrained Unit Commitment ; Interruptible Load Contract

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