Stochastic optimization for distribution grid reconfiguration with high photovoltaic penetration

Andrej Trpovski; Dante Fernando Recalde Melo; Thomas Hamacher; Tobias Massier

doi:10.1109/SEGE.2017.8052778

Stochastic optimization for distribution grid reconfiguration with high photovoltaic penetration

Andrej Trpovski
, Dante Fernando Recalde Melo
, Thomas Hamacher
, Tobias Massier

Chair of Renewable and Sustainable Energy Systems

TUM CREATE

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

Photovoltaics (PV) are considered as one of the most promising renewable energy source for Singapore. This paper proposes an optimization strategy for a distribution grid that includes PV. The objective is to provide optimal grid operation for seamless integration of distributed generation (DG). A novel approach for grid reconfiguration considering a probabilistic statistical model for the solar irradiance is introduced. A stochastic mixed-integer second order conic programming (SMISOCP) algorithm is devised to provide an optimal radial grid topology. The objective is to reduce power losses and operational costs of the grid. Case studies of grid model with distributed PV generators are conveyed to affirm the capability to deliver the objectives.

Original language	English
Title of host publication	2017 5th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2017
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	67-73
Number of pages	7
ISBN (Electronic)	9781538617755
DOIs	https://doi.org/10.1109/SEGE.2017.8052778
State	Published - 27 Sep 2017
Event	5th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2017 - Oshawa, Canada Duration: 14 Aug 2017 → 17 Aug 2017

Publication series

Name	2017 5th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2017

Conference

Conference	5th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2017
Country/Territory	Canada
City	Oshawa
Period	14/08/17 → 17/08/17

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

optimization
power system management
quadratic programming
smart grids
solar power gen-eration

Access to Document

10.1109/SEGE.2017.8052778

Cite this

Trpovski, A., Melo, D. F. R., Hamacher, T., & Massier, T. (2017). Stochastic optimization for distribution grid reconfiguration with high photovoltaic penetration. In 2017 5th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2017 (pp. 67-73). Article 8052778 (2017 5th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SEGE.2017.8052778

Trpovski, Andrej ; Melo, Dante Fernando Recalde ; Hamacher, Thomas et al. / Stochastic optimization for distribution grid reconfiguration with high photovoltaic penetration. 2017 5th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2017. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 67-73 (2017 5th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2017).

@inproceedings{be42b747fe4d4b1b8d9e6d7e3cc126b0,

title = "Stochastic optimization for distribution grid reconfiguration with high photovoltaic penetration",

abstract = "Photovoltaics (PV) are considered as one of the most promising renewable energy source for Singapore. This paper proposes an optimization strategy for a distribution grid that includes PV. The objective is to provide optimal grid operation for seamless integration of distributed generation (DG). A novel approach for grid reconfiguration considering a probabilistic statistical model for the solar irradiance is introduced. A stochastic mixed-integer second order conic programming (SMISOCP) algorithm is devised to provide an optimal radial grid topology. The objective is to reduce power losses and operational costs of the grid. Case studies of grid model with distributed PV generators are conveyed to affirm the capability to deliver the objectives.",

keywords = "optimization, power system management, quadratic programming, smart grids, solar power gen-eration",

author = "Andrej Trpovski and Melo, \{Dante Fernando Recalde\} and Thomas Hamacher and Tobias Massier",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 5th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2017 ; Conference date: 14-08-2017 Through 17-08-2017",

year = "2017",

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doi = "10.1109/SEGE.2017.8052778",

language = "English",

series = "2017 5th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2017",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "2017 5th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2017",

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Trpovski, A, Melo, DFR, Hamacher, T & Massier, T 2017, Stochastic optimization for distribution grid reconfiguration with high photovoltaic penetration. in 2017 5th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2017., 8052778, 2017 5th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2017, Institute of Electrical and Electronics Engineers Inc., pp. 67-73, 5th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2017, Oshawa, Canada, 14/08/17. https://doi.org/10.1109/SEGE.2017.8052778

Stochastic optimization for distribution grid reconfiguration with high photovoltaic penetration. / Trpovski, Andrej; Melo, Dante Fernando Recalde; Hamacher, Thomas et al.
2017 5th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 67-73 8052778 (2017 5th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2017).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Stochastic optimization for distribution grid reconfiguration with high photovoltaic penetration

AU - Trpovski, Andrej

AU - Melo, Dante Fernando Recalde

AU - Hamacher, Thomas

AU - Massier, Tobias

PY - 2017/9/27

Y1 - 2017/9/27

N2 - Photovoltaics (PV) are considered as one of the most promising renewable energy source for Singapore. This paper proposes an optimization strategy for a distribution grid that includes PV. The objective is to provide optimal grid operation for seamless integration of distributed generation (DG). A novel approach for grid reconfiguration considering a probabilistic statistical model for the solar irradiance is introduced. A stochastic mixed-integer second order conic programming (SMISOCP) algorithm is devised to provide an optimal radial grid topology. The objective is to reduce power losses and operational costs of the grid. Case studies of grid model with distributed PV generators are conveyed to affirm the capability to deliver the objectives.

AB - Photovoltaics (PV) are considered as one of the most promising renewable energy source for Singapore. This paper proposes an optimization strategy for a distribution grid that includes PV. The objective is to provide optimal grid operation for seamless integration of distributed generation (DG). A novel approach for grid reconfiguration considering a probabilistic statistical model for the solar irradiance is introduced. A stochastic mixed-integer second order conic programming (SMISOCP) algorithm is devised to provide an optimal radial grid topology. The objective is to reduce power losses and operational costs of the grid. Case studies of grid model with distributed PV generators are conveyed to affirm the capability to deliver the objectives.

KW - optimization

KW - power system management

KW - quadratic programming

KW - smart grids

KW - solar power gen-eration

UR - https://www.scopus.com/pages/publications/85032383339

U2 - 10.1109/SEGE.2017.8052778

DO - 10.1109/SEGE.2017.8052778

M3 - Conference contribution

AN - SCOPUS:85032383339

T3 - 2017 5th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2017

SP - 67

EP - 73

BT - 2017 5th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2017

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 5th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2017

Y2 - 14 August 2017 through 17 August 2017

ER -

Trpovski A, Melo DFR, Hamacher T, Massier T. Stochastic optimization for distribution grid reconfiguration with high photovoltaic penetration. In 2017 5th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 67-73. 8052778. (2017 5th IEEE International Conference on Smart Energy Grid Engineering, SEGE 2017). doi: 10.1109/SEGE.2017.8052778

Stochastic optimization for distribution grid reconfiguration with high photovoltaic penetration

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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