Research On DG Location And Capacity Optimization Of Distribution Network Based On Genetic Algorithm

As a new energy source, distributed energy has an important position in the field of power in this century. After accessing to the distribution network, the distributed generation (DG) can improve the power quality, reduce the peak load, and has no reserve capacity. In order to adapt to the rapid development of economy, the development of distributed energy technology will become an important part of China's electric power reform. Therefore, research in distribution system with DG has become the focus in recent years.At present, there are many methods to determine the optimal location and capacity of distributed generation in order to achieve the minimum network loss. In this paper, an optimization method for the capacity and location of DG equipment in distribution network is provided, which is based on MATLAB software platform. In order to minimize the loss of the distribution network, the active power, reactive power and location of the distributed generation are simultaneously considered. In addition, this paper performs the system calculation power flow using forward and backward sweep method. Genetic algorithm is used to optimize in this paper. Matlab is used to simulate the algorithm.Finally, the algorithm is applied to the IEEE 33-bus and IEEE-69 node test system, and the system is simulated and analyzed before and after the introduction of DG equipment. The results show that, after the introduction of DG equipment, the system network loss is significantly decreased, the node voltage profile is significantly improved,and the branch current balance is greatly improved, which fully proves the feasibility and effectiveness of the algorithm proposed in this paper.