Dynamic Tariff-Subsidy Method for PV and V2G Congestion Management in Distribution Networks

被引：45

作者：

Huang, Shaojun ^{[1
]}

Wu, Qiuwei ^{[2
,3
]}

机构：

[1] Univ Southern Denmark, Maersk Mc Kinney Moller Inst, Ctr Energy Informat, DK-5230 Odense, Denmark

[2] Tech Univ Denmark, Dept Elect Engn, Ctr Elect Power & Energy, DK-2800 Lyngby, Denmark

[3] Harvard Univ, Sch Engn & Appl Sci, Harvard China Project, Cambridge, MA 02138 USA

来源：

IEEE TRANSACTIONS ON SMART GRID | 2019年 / 10卷 / 05期

关键词：

Congestion management; distribution system operator (DSO); dynamic tariff-subsidy; electric vehicle (EV); heat pump (HP); photovoltaics (PV); ELECTRIC VEHICLES; SYSTEM;

D O I：

10.1109/TSG.2019.2892302

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper proposes a dynamic tariff-subsidy (DTS) method for congestion management in distribution networks with high penetration of photovoltaics (PV), heat pumps and electric vehicles (EVs) with vehicle-to-grid (V2G) function. The DTS method is an extension of the dynamic tariff method proposed in the previous study. With the DTS, the regulation prices can be positive (tariff) or negative (subsidy). The study shows that the negative regulation price is necessary and very effective to solve congestion due to feed-in power flows, such as PVs and EVs in the V2G mode. In the study, dual decomposition of a convex quadratic model is proposed in addition to a conventional method for the DTS calculation. The case studies on the Roy Billinton test system demonstrate the efficacy of the DTS method for congestion management in distribution networks.

引用

页码：5851 / 5860

页数：10

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