Distributed electricity generation has been experiencing a constant growth since many years. Due to governmental incentives it was possible to achieve an economic operation especially of domestic Photovoltaic(PV)-systems. Considering uncertain public funding structures and comparatively high investment costs in Austria, a nancial amortization can also be attained by enhancing the direct use of generated solar energy. The present master thesis analyzes various methods for increasing the own consumption for domestic PV-electricity generation. Two dierent approaches are beeing developed. First, the well-known Demand-Side-Management (DSM) is used to shift household appliances activities' to peak-times of decentralized power production. Secondly, an innovative method called Generation Curve Fitting (GCF) is presented. For this purpose, stationary grid-connected PV-systems are modelled in a way that makes it possible to bring in line the generation pro le with with one years' synthetically created domestic load pro les. By using a combination of these two approaches, one can maximize both: the degree of own consumption as well as the degree of energy self-suciency. Finally, a comparison is drawn in order to demonstrate the own consumption ratio for different scenarios. It is shown that ownconsumption-rates of up to 90% at an autarky-level of 35% can be achieved. The results of load flow-simulations verify the feasibility of the proposed methods.