Title :
PV penetration scenario generator based on maximum hosting capacity and statistic data
Author :
Stifter, Matthias ; Zehetbauer, Paul ; Bletterie, Benoit
Author_Institution :
Electric Energy Systems, Energy Department AIT Austrian Institute of Technology, Vienna, Austria
fDate :
June 29 2015-July 2 2015
Abstract :
Increasing photovoltaic (PV) penetration is a major driver for developing new methods to integrate renewable generation into distribution systems. For planning of low voltage distribution networks future share of penetrations have to be modeled in an appropriate way, to simulate and analyze the impact of PV generation. Different approaches to model high penetration scenarios - in particular defining certain penetration levels e.g., 50% or 100% - are analyzed and shortcomings described. Based on the maximum hosting capacity (HC) of a network, a penetration scenario generator is presented which takes realistic PV system sizes, roof sizes at placement positions and network constraints into account. An implementation for PowerFactory (network analysis software) and results for four low voltage networks are demonstrated.
Keywords :
Concurrent computing; Data models; Energy consumption; Generators; Low voltage; Photovoltaic systems; Voltage control; PV penetration; hosting capacity; low voltage networks; simulation;
Conference_Titel :
PowerTech, 2015 IEEE Eindhoven
Conference_Location :
Eindhoven, Netherlands
DOI :
10.1109/PTC.2015.7232694