Open layout optimized distribution network to determine the optimal capacity of distributed generation units and capacitor banks at the same time

The size and position of the FACTS controllers and the installation of DG resources to increase the voltage stability is an issue that can be addressed in energy applications. In this research, a method for placement and suitable size for FACTS controllers and DG resources is proposed using intelligent algorithms such as genetics. The proposed technique can be used to find the most effective location for installing FACTS and DGs and optimizing their size. Simulations are carried out in the MATLAB environment. Also, we will use scenarios to consider reconstruction, capacitance and distributed generation sources either alone or in combination, and their impact on network losses and network voltage profiles will be evaluated. Is located The 33-bus IEEE distribution network has been used to implement the problem. The load model used is the RTS model. On the other hand, the cost of investing in the distribution system is very high. Therefore, the distribution system with these important features will play an essential role in the power system. In this paper, in this paper, by disturbing the topology of the power system, the location of Facts devices and distributed sources of production in different scenarios, in terms of similar locations for the installation of dispersed production resources and compensating equipment of power quality and. The results of the power quality include total system losses and bass voltage profiles and voltage deviations in the system, which will provide better results in the non-homogeneous location scenario for installation.

کلیدواژه ها:

Neural Networks ، Capacitance ، Particle Swarm Optimization