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Long Term Impacts of Electricity Pricing Methods on Multi-Carrier Energy Systems with High PHEV Penetration

Davari Nejad, Ehsan | 2015

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 47397 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Ranjbar, Ali Mohammad
  7. Abstract:
  8. As far as reliable supply and cost-effective methods of power delivery to end-users are concerned, new advancements in smart grids and, in particular, smart pricing are of high significance to grid operators. In the recent decade, there has been a considerable raise in penetration of renewable energy resources and also the number of hybrid electric vehicles which can act as a huge mobile storage in the network. Hence, finding a practical and cost-effective method of management of all these new resources and avoiding potential problems associated with them seems to be of high importance. In this study, first, the response of demand to pricing signals has been modeledAfterwards, the response of electrical vehicles is modeled through a detailed classification. Then, three methods for electricity pricing are investigated and long term effects of these pricing methods on economic, operational and environmental aspects of power system management have been studied. The first two pricing methods are time of use and flat pricing, which have been previously studied in quite a few studies. The third method is based on multi-objective optimization, in which the authors have utilized Multi Objective Particle Swarm Optimization (MOPSO) to obtain optimal electricity prices in a 24 hour period to reach the best pricing methods from different standpoints; namely, operational, environmental or economic viewpoints. The third method is presented in this study as optimal time of use method. Furthermore, the effect of having a reliable gas infrastructure has been considered in simulating the response of demand to the pricing signals, and the fact that the energy system under study is multi carrier has been taken into account
  9. Keywords:
  10. Hybrid Electric Vehicle (HEV) ; Demand Side Mangement ; Vehicle to Grid (V2G) ; Wind Energy ; Energy Efficiency ; Energy Production ; Efficient Use

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