This study proposes a model based on mixed-integer linear programming (MILP) for the integrated expansion planning of generation and transmission systems with the implementation of distributed generation (DG). Most DG planning takes place after generation and transmission planning has been conducted. This model can be used to include DG potential simultaneously with generation and transmission expansion. DG is modelled as a negative load therefore DG is treated as a non-dispatchable unit of power generation. The objective of the model is to minimize overall cost including the investment cost of the generation units, DG units, and transmission lines, and the operating cost of the generation and DG units. The proposed model is staticdeterministic model in the form of MILP. The model was evaluated using the 6-bus Garver's test. To prove the effectiveness of the model, it was evaluated using the IEEE 46 Bus Test. The results show that due to the impact of DG on power system expansion planning ,the overall cost was reduced. The simulation results also show that a different optimal network configuration can be achieved by DG implementation in expansion planning.

No abstract

No abstract

State Finance Building of Yogyakarta is a community service that is included in the types of buildings that consume considerable electric energy so that often led to the power outage unexpectedly due to excessive use of electricity. This excessive use of electricity has also contributed to bill accounts for electricity from PLN, which each month up to hundreds of millions of dollars. To that end, this research was undertaken that aims to be able to a device that most optimal configuration in the use of solar panels and could compare the SOLAR PV system between On-Grid and PLN in the aspect of cost and CO2 emissions. In knowing the potential of alternative energy sources, namely solar power connected to the PLN as the optimal power plant is carried out employing researching the form of knowing the intensity of the solar radiation data, data in the form of electric power load is active for 24 hours, and data rates time of outside peak load and time of peak load from PLN for State Finance Building Of Yogyakarta. Later, she did the simulation using software to help homer modeling from the use of the most optimal solar panel. The research results obtained that the potential SOLAR PV system that is connected with the grid PLN unfit to be carried out because of the cost of the initial investment to expenses during the period of operation of the system, including the high value of the NPC of $970,742. However, the potential of the power plant that is appropriate for the conditions on-site research solar power plant was connected to the grid PLN power plant configuration that is optimized for without using batteries, use the only PV with a capacity of 91.35 kW, the converter with a capacity of 400 kW, and power grid network of PLN the system transmitted to SOLAR PV On-Grid of 552 kW.