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Developing an Efficient Framework for Determining Distributed Locational Marginal Prices (DLMPs) in Active Distribution Systems Based on the Concept of Transactive Energy (TE)

Pasban Gajan, Ali | 2018

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 51349 (46)
  4. University: Sharif University of Technology
  5. Department: Energy Engineering
  6. Advisor(s): Moeini Aghtaei, Moein; Fotuhi-Firuzabad, Mahmud
  7. Abstract:
  8. Nowdays, due to the growth of micro-grids, the development of dispersed production resources, and increased diversity in subscribers, energy management in modern distribution systems has encountered a lot of complexity. As a result, local electric power markets have attracted the attention of many researchers, due to the many technical and economic benefits. The purpose of these markets is to create competition between the participants and to increase the technical and economic efficiency of the distribution system. The most important challenges for these markets are to increase the technical and economic efficiency of the distribution network, maintain network reliability, protect the privacy of subscribers and create an efficient and fair economic environment between small players. The main goal of this thesis is to introduce the technical and economic frameworks for the control and implementation of these local markets. So, after introducing different sectors of these markets, the mechanism of technical and economic management of the distribution network markets will be expressed. Then a set of pricing parameters including locational marginal price and service prices are introduced to control the local transaction. These parameters provide the ability to compete at the local level. And through these signals, the link between the management level of the distribution network and the local levels is provided. Finally, by modeling behavior of all agents that have role in local market, transaction in the local market is examined
  9. Keywords:
  10. Distributed Generation ; Microgrid ; Multiagent System ; Smart Power Grid ; Transactive Energy

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