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

Publication Information

Publication data

Type:

Conference paper

Authors:

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

Published in:

Proceedings of the 2017 IEEE International Conference on Smart Energy Grid Engineering
Electronic ISBN: 978-1-5386-1776-2, Print ISBN: 978-1-5386-1775-5, Print-on-demand ISBN: 978-1-5386-1777-9, DVD ISBN: 978-1-5386-1774-8

Publisher:

Institute of Electrical and Electronics Engineers (IEEE), New York (New York, United States of America)

Publication date:

August 2017

Pages:

67–73

Conference:

2017 IEEE International Conference on Smart Energy Grid Engineering

Conference location:

Ontario Tech University, Oshawa (Ontario, Canada)

Conference dates:

14 August 2017 – 17 August 2017

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:

Optimisation, Smart grid, Solar power generation, Power system management, Quadratic programming

DOI:

10.1109/SEGE.2017.8052778