Robust multi-stage economic dispatch with renewable generation and storage

YILDIRAN U.

European Journal of Operational Research, cilt.309, sa.2, ss.890-909, 2023 (SCI-Expanded) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 309 Sayı: 2
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1016/j.ejor.2023.01.042
  • Dergi Adı: European Journal of Operational Research
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, International Bibliography of Social Sciences, ABI/INFORM, Applied Science & Technology Source, Business Source Elite, Business Source Premier, Computer & Applied Sciences, EconLit, INSPEC, Public Affairs Index, zbMATH, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.890-909
  • Anahtar Kelimeler: Dynamic programming, Economic dispatch, Energy storage, Multi-stage robust optimization, OR In energy
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

In this paper, an economic dispatch problem for power grids involving renewable generation and storage units is studied. A multi-stage robust optimization algorithm for computing base dispatches and re-dispatches is proposed. Unlike the other approaches in the literature, the proposed method finds an exact solution to the multi-stage robust optimization problem considered when there are no storage devices or storage devices are ideal (i.e. charging/discharging inefficiencies are neglectable). In the presence of non-ideal storage devices, the algorithm can produce upper-bounding approximations. The devised approximation scheme has two distinguishing features. Firstly, the base dispatches and, especially, multi-stage re-dispatch policies computed are guaranteed to be free of simultaneous charges/discharges. Secondly, it produces lower bounds allowing one to assess the quality of solutions. Optimality and convergence properties of the proposed method are proven and it is compared with other alternatives in the literature through numerical experiments. Results show that significant economic benefits can be achieved compared to the other approaches and solutions could be obtained within acceptable time limits for large-scale problems.