Environmentally committed short-term planning of electrical distribution systems considering renewable based DG siting and sizing

Ozy D. Melgar Dominguez, Mahdi Pourakbari-Kasmaei, Jose Roberto Sanches Mantovani, Marina Lavorato

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

6 Citations (Scopus)

Abstract

This paper proposes an environmentally committed mixed-integer linear programming (MILP) model to find the best plan for the electrical distribution systems (EDSs) in a short-term planning horizon. In this regard, the energy delivered by the substation and the total investment cost are minimized while the stochasticity related with the demand and photovoltaic (PV) generation is modeled via external uncertainty indexes. Considering PV generation, switchable and fixed capacitor banks (CBs), voltage regulators (VRs), conductor replacement, as well as operating costs results in a mixed-integer nonlinear programming (MINLP) model. However, to obtain the globally optimal solution, this highly nonlinear model, using appropriate linearization techniques, is recast to an MILP model. In order to validate and show the effectiveness of the proposed model, a 42-node system is considered in detail.

Original languageEnglish
Title of host publicationConference Proceedings - 2017 17th IEEE International Conference on Environment and Electrical Engineering and 2017 1st IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2017
PublisherIEEE
ISBN (Print)9781538639160
DOIs
Publication statusPublished - 12 Jul 2017
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Environment and Electrical Engineering and IEEE Industrial and Commercial Power Systems Europe - Milan, Italy
Duration: 6 Jun 20179 Jun 2017

Conference

ConferenceIEEE International Conference on Environment and Electrical Engineering and IEEE Industrial and Commercial Power Systems Europe
Abbreviated titleEEEIC/I&CPS Europe
Country/TerritoryItaly
CityMilan
Period06/06/201709/06/2017

Keywords

  • Environmentally committed plan
  • External uncertainty indexes
  • Mixed-integer linear programming
  • Short-term planning

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