Day-ahead resource scheduling in distribution networks with presence of electric vehicles and distributed generation units

Shafiee, M ; Sharif University of Technology | 2019

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  1. Type of Document: Article
  2. DOI: 10.1080/15325008.2019.1663297
  3. Publisher: Taylor and Francis Inc , 2019
  4. Abstract:
  5. In this paper a new framework for scheduling of available resources in the distribution networks is developed. In this respect attempts are focused on interactions between charging/discharging profiles of electric vehicles (EVs) and output power of distributed generation units. To reach this goal, the proposed framework is designed as a two-stage optimization procedure. In the first stage, the charging/discharging schedules of EVs are extracted running a linear programing optimization problem taking into account the EV users' constraints and requirements. The usage profiles of the DG units, strategy of buying electricity from the market and also the final charging/discharging patterns of the EVs are set running the second stage of this scheduling framework. The attained mixed-integer non-linear programing optimization problem is linearized and a procedure is organized to check the technical aspect of network. The results show that the proposed energy resource scheduling method satisfies financial and technical goals of network. © 2019, © 2019 Taylor & Francis Group, LLC
  6. Keywords:
  7. Aggregators ; Charge/discharge profile ; Distributed generation ; Distribution system operator ; Electric vehicles ; Energy resources ; Integer programming ; Linear programming ; Nonlinear programming ; Scheduling ; Distributed generation units ; Distribution systems ; Electric Vehicles (EVs) ; Optimization problems ; State of charge ; Two stage optimizations ; Vehicle-to-grid
  8. Source: Electric Power Components and Systems ; Volume 47, Issue 16-17 , 2019 , Pages 1450-1463 ; 15325008 (ISSN)
  9. URL: https://www.tandfonline.com/doi/abs/10.1080/15325008.2019.1663297