Stochastic Optimization for Distribution Grid Reconfiguration with High Photovoltaic Penetration

被引：0

作者：

Trpovski, Andrej ^{[1
]}

Melo, Dante Fernando Recalde ^{[1
]}

Hamacher, Thomas ^{[2
]}

Massier, Tobias ^{[1
]}

机构：

[1] TUMCREATE, 1 CREATE Way,10-02 CREATE Tower, Singapore 138602, Singapore

[2] Tech Univ Munich, Renewable & Sustainable Energy Syst, D-85748 Garching, Germany

来源：

2017 5TH IEEE INTERNATIONAL CONFERENCE ON SMART ENERGY GRID ENGINEERING (SEGE) | 2017年

基金：

新加坡国家研究基金会;

关键词：

optimization; smart grids; solar power generation; power syste mmanagement; quadratic programming; DISTRIBUTION FEEDER RECONFIGURATION; ELECTRICAL DISTRIBUTION-SYSTEMS; IMPLEMENTATION; IMPROVEMENT;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

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.

引用

页码：67 / 73

页数：7

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