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A framework for activating residential HVAC demand response for wind generation balancing

Ali, M ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1109/ISGT-Asia.2015.7387046
  3. Publisher: Institute of Electrical and Electronics Engineers Inc
  4. Abstract:
  5. The integration of a great deal of intermittent renewable generation in future grids will require more operational flexibility. Residential demand response can provide the load shaping potentials thereby alleviating the need for operational flexibility. This paper intends to develop a centralized framework focusing on realization of domestic heating, ventilation, and air conditioning (HVAC) demand response capability for wind power balancing. In the proposed optimization model, energy consumption of HVAC loads is optimized to tackle the variability of wind power. The thermal comfort penalty is explicitly integrated in the objective function in order to oblige different customers' thermal preferences. Performance of the framework is verified through simulations on Finnish case studies. The simulation results suggest that the proposed framework will help the network operators to benefit from cheap renewable generation
  6. Keywords:
  7. Load shaping ; Wind generation balancing ; Electric power transmission networks ; Energy utilization ; Housing ; Optimization ; Smart power grids ; Wind power ; Demand response ; HVAC ; Operational flexibility ; Optimization modeling ; Renewable generation ; Thermal preferences ; Variability of wind power ; Wind generation ; Air conditioning
  8. Source: IEEE Innovative Smart Grid Technologies, 3 November 2015 through 6 November 2015 ; 2015 ; 9781509012381 (ISBN)
  9. URL: http://ieeexplore.ieee.org/document/7387046