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Developing a Framework for Providing the Flexibility of Active Consumers of Energy Distribution Networks

Ostovar, Sara | 2022

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 54888 (48)
  4. University: Sharif University of Technology
  5. Department: Energy Engineering
  6. Advisor(s): Moeini Aghtaie, Moein
  7. Abstract:
  8. The power systems’ net-load variability and uncertainty would aggravate significantly as the penetration of Renewable Energy Resources (RERs) in power systems increases. In response, power system researchers have introduced a new concept, namely flexibility, to quantitatively and systematically deal with unavoidable features of RERs. In power distribution systems as the connection point of power systems with customers, there are many opportunities for improving the flexibility level of systems. Nowadays, the emergence of prosumers has created new opportunities for distribution system operators in providing the system with different services of flexibility in distribution systems. Therefore, in this thesis, a new framework for providing prosumers' flexibility by participating in demand response programs as well as local flexibility markets is presented. The novelties of this thesis are divided into two main sections: 1) A new bi-level probabilistic optimization framework is developed wherein a home energy management system optimizes its respective prosumer daily load profile, and determines its flexibility provision, which is communicated to a local distribution company. In the proposed framework, a decentralized approach is used to achieve the flexibility product through the incentive-based Demand Response (DR) programs. Finally, the LDC applies the prosumer's flexibility' offers to optimize its operational performance. 2) An interactive framework is proposed for prosumers to utilize and trade flexibility in a local flexibility market platform. A novel flexibility allocation process is implemented using a Day-Ahead (DA) flexibility market mechanism in the proposed framework. Market participants adjust their flexibility bids in the suggested process, which occurs through a fair and competitive market mechanism. The simulation results show that the suggested framework is effective in meeting DSO's congestion management objectives while maintaining the prosumer's desired social welfare level
  9. Keywords:
  10. Flexibility ; Congestion Management ; Local Energy Markets ; Renewable Energy Resources ; Demand Response ; Local Flexibility Energy Markets ; Prosumers

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