Loading...

Optimal Energy Trading in a Smart Grid Based on Extremum-seeking Algorithm

Asgari, Houman | 2021

346 Viewed
  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 54762 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Babazadeh, Maryam
  7. Abstract:
  8. Prevalent deployment of Distributed Energy Resources(DERs) in the demand side of electrical energy grids has several advantages such as greenhouse gases emission reduction, mitigation of power losses in the distribution grids and abatement of the dependency on the wholesale generation companies. At the same time, it paves the way for the advent of local interactive energy trading frameworks. In the following thesis, a distributed data-driven algorithm is developed for market-clearing in a community-based local energy market. The social welfare maximization is considered as the objective of the energy trading. The production and demand of electricity are the decision variables of sellers and the buyers, respectively. Every prosumer applies an extremum-seeking control algorithm through a consensus-based architecture to clear the market. With the proposed method, the privacy of the players would be preserved and the dependency on the central coordinator for market clearing is relaxed. Furthermore, by using the proposed saddle-point seeking method, the prosumers can find their respective optimal actions without the obligation to derive the analytic formulation of their cost or utility functions. Utilizing the Lyapunov stability theorem, the semi-globally practical asymptotic convergence of the proposed algorithm to the global optimum is also investigated. In
    the simulations, the speed and accuracy of the distributed extremum seeking method for solving the social welfare maximization problem is studied by comparing it with the resilient back-propagation algorithm. Furthermore, the scalability of the method as well as its robustness in the environments with switching sparse communication graphs is examined through various simulations
  9. Keywords:
  10. Extremum Seeking ; Energy Market ; Data Driven Control Systems ; Smart Power Grid ; Distributed Energy Resorurces (DER) ; Consensus-Based Optimization

 Digital Object List