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Distribution System Reliability Improvement with Design of a Novel Demand Response Program

Ghasemifard, Mohammad Hassan | 2013

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 44133 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Abbaspour Tehrani Fard, Ali; Fotuhi Firouzabad, Mahmud
  7. Abstract:
  8. This paper proposes a novel real-time pricing tariff design aiming at reducing the operation cost of distribution system. A customer base-line load (CBL) is established for each participant. It let the customer to have less exposure with RTP volatile prices.The tariff charges the consumption above the CBL an hourly varying price. It credits the consumption below the CBL another hourly varying price.The proposed tariff provides the participant with more incentive and discount prices to encourage it to consume more efficient. The optimal prices are determined and announced a day in advance but can change in the next day with a short notice.The response of customers to the tariff prices is modeled using the concept of price elasticity.The cost of demand response enabling technologies is also modeled. The tariff is finallyintegrated into the distribution operation. The proposed tariff provides the distribution operator with more control on the tariffimplementation compared to other tariff designs. The operation problem is presented as a mixed-integer programming model. This paper also proposes a new reliability assessment method based on Monte Carlo simulation aiming at quantifying the long term effect of implementing the proposed RTP tariff on the distribution system reliability indices. Some numerical studies are conducted on the well-known 33-bus distribution system. The effect of implementing the proposed tariff on the operation decisions, load shape and level, distribution operator’s profit, customer’s bill, feeder losses, voltage profile as well as reliability indices is investigated
  9. Keywords:
  10. Demand Response ; Smart Power Grid ; Real-Time Pricing ; Tariff Design ; Customer Baseline Load ; Monte Carlo Simulation ; Distribution System Operation

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