Evaluation of PV Hosting Capacity of Distribuion Grids Considering a Solar Roof Potential Analysis - Comparison of different Algorithms

被引：0

作者：

Ebe, Falko ^{[1
]}

Idlbi, Basem ^{[1
]}

Morris, Jeromie ^{[1
]}

Heilscher, Gerd ^{[1
]}

Meier, Florian ^{[2
]}

机构：

[1] Ulm Univ Appl Sci HS Ulm, Smart Grids Res Grp, Ulm, Germany

[2] Neu Ulm Netze GmbH, Planning Dept, Stadtwerke Ulm, Ulm, Germany

来源：

2017 IEEE MANCHESTER POWERTECH | 2017年

关键词：

Distribution Grids; Grid Hosting Capacity; PV Scenarios; Solar Roof Potential;

D O I：

暂无

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：

Increasing distributed photovoltaic (PV) systems can lead to overloading of grid assets and voltage violations at grid nodes, especially in distribution systems. This raises the necessity to consider the future growth of installed PV capacity for the mid- and long-term planning process of distribution system operators (DSOs). Considering solar roof potential analysis derived from an airborne light detection and ranging (LIDAR) mission, the evaluation of the hosting capacity of a given distribution grid can be improved. This paper compares different methods to allocate the future PV capacity based on such solar roof potential analysis at the distribution system level. Rule -Based methods are developed and compared with a probabilistic method, which is repeated several times as a Monte Carlo analysis, in order to define the allocation of PV power to grid nodes. The developed deterministic methods can provide DSOs with simple and reliable indication about the hosting capacity of PV and the need for grid reinforcement compared to other methods.

引用

页数：6