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Residential Demand Response Coordination to Enhance Network Reliability

Kabirifar, Milad | 2016

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 48603 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Fotuhi Firouzabad, Mahmud
  7. Abstract:
  8. Residential demand response is an appropriate control tool for improving system reliability. This project intends to establish a model to activate residential demand response to improve distribution network reliability. Two centralized and decentralized models are proposed. The models aim at minimizing the damage cost imposed by load curtailments following unexpected events. In the models, it is supposed that distribution system operator (DSO) and responsive customers already signed a contract authorizing the DSO alters the operation of responsive appliances whenever system reliability is jeopardized. In centralized framework, Responsive customers deliver the technical data of their responsive appliances and their associated welfare constraints. The model adheres consumers’ preferences since the operation of appliances is displaced within the bounds defined by the owners. Thanks to the model, once an unexpected event occurs, the DSO commits responsive appliances to satisfy likely violations in network operational limits and avoid costly load curtailments. In the centralized framework the problem is expensive from the run time and acquired memory points of view. In this mehod, customers’ privacy is jeopardized in addition. In decentralized framework, following an unexpected event, DSO sends appropriate control signals to customers by considering network operational constraints. Each customer commits its responsive loads in the manner to fulfill DSO’s objective. By executing DR program in each proposed frameworks, amount of load curtailments and associated costs are minimized and network reliability is improved. The capability of the model is depicted via applying to a real world distribution network with some residential consumers and service reliability indices are compared before and after utilizing demand response potentials. It is shown that the total cost of unexpected events can be significantly reduced when the model is applied. In addition, associated reliability indices are improved just by deferring the load of responsive appliances a few minutes a year
  9. Keywords:
  10. Reliability ; Distribution System Operation ; Demand Response ; Distribution Network Load ; Residential Customer ; Centralized Approach ; Distributed Electric Model

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