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

doi:10.1109/EEEIC.2017.7977735

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

Not published at Aalto University

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

10 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 language	English
Title of host publication	Conference 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
Publisher	IEEE
ISBN (Print)	9781538639160
DOIs	https://doi.org/10.1109/EEEIC.2017.7977735
Publication status	Published - 12 Jul 2017
MoE publication type	A4 Conference publication
Event	IEEE International Conference on Environment and Electrical Engineering and IEEE Industrial and Commercial Power Systems Europe - Milan, Italy Duration: 6 Jun 2017 → 9 Jun 2017

Conference

Conference	IEEE International Conference on Environment and Electrical Engineering and IEEE Industrial and Commercial Power Systems Europe
Abbreviated title	EEEIC/I&CPS Europe
Country/Territory	Italy
City	Milan
Period	06/06/2017 → 09/06/2017

Keywords

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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/EEEIC.2017.7977735

Cite this

Melgar Dominguez, O. D., Pourakbari-Kasmaei, M., Mantovani, J. R. S., & Lavorato, M. (2017). Environmentally committed short-term planning of electrical distribution systems considering renewable based DG siting and sizing. In Conference 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 Article 7977735 IEEE. https://doi.org/10.1109/EEEIC.2017.7977735

Melgar Dominguez, Ozy D. ; Pourakbari-Kasmaei, Mahdi ; Mantovani, Jose Roberto Sanches et al. / Environmentally committed short-term planning of electrical distribution systems considering renewable based DG siting and sizing. Conference 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. IEEE, 2017.

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

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.",

keywords = "Environmentally committed plan, External uncertainty indexes, Mixed-integer linear programming, Short-term planning",

author = "{Melgar Dominguez}, {Ozy D.} and Mahdi Pourakbari-Kasmaei and Mantovani, {Jose Roberto Sanches} and Marina Lavorato",

year = "2017",

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booktitle = "Conference 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",

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Melgar Dominguez, OD, Pourakbari-Kasmaei, M, Mantovani, JRS & Lavorato, M 2017, Environmentally committed short-term planning of electrical distribution systems considering renewable based DG siting and sizing. in Conference 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., 7977735, IEEE, IEEE International Conference on Environment and Electrical Engineering and IEEE Industrial and Commercial Power Systems Europe, Milan, Italy, 06/06/2017. https://doi.org/10.1109/EEEIC.2017.7977735

Environmentally committed short-term planning of electrical distribution systems considering renewable based DG siting and sizing. / Melgar Dominguez, Ozy D.; Pourakbari-Kasmaei, Mahdi; Mantovani, Jose Roberto Sanches et al.
Conference 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. IEEE, 2017. 7977735.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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T1 - Environmentally committed short-term planning of electrical distribution systems considering renewable based DG siting and sizing

AU - Melgar Dominguez, Ozy D.

AU - Pourakbari-Kasmaei, Mahdi

AU - Mantovani, Jose Roberto Sanches

AU - Lavorato, Marina

PY - 2017/7/12

Y1 - 2017/7/12

N2 - 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.

AB - 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.

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KW - External uncertainty indexes

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BT - Conference 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

PB - IEEE

T2 - IEEE International Conference on Environment and Electrical Engineering and IEEE Industrial and Commercial Power Systems Europe

Y2 - 6 June 2017 through 9 June 2017

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Melgar Dominguez OD, Pourakbari-Kasmaei M, Mantovani JRS, Lavorato M. Environmentally committed short-term planning of electrical distribution systems considering renewable based DG siting and sizing. In Conference 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. IEEE. 2017. 7977735 doi: 10.1109/EEEIC.2017.7977735

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

Abstract

Conference

Keywords

UN SDGs

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