Optimal Planning of Integrating Distributed Generations in Unbalanced Distribution Network by Using Particle Swarm Optimization

In recent years, Distributed Generation (DG) have been a high penetration rate in the distribution network. Planning the active power of electricity from DG can save energy from grid side and reduce power losses in the unbalanced distribution system by considering the capacity to generate electricity. This research was aimed to appropriately generate the active power of DG for managing the energy on grid side and enable distributed system operators (DSO) can forecast production capabilities, maintain the grid balancing, and ensuring the stability of the distribution system. Particle Swarm Optimization (PSO) algorithm was implemented in MATLAB for optimal active power for each DG using Peer-to-Peer (P2P) communication with DIgSILENT for power flow analysis by shared data via comma-separated values file. Additionally, specifying equality and inequality constraint were applied. The results indicated that the active power of DG who is injected to the grid effect to the total power loss, voltage deviation, and power flow direction. In conclusion, the DSO can use them as the considerate guideline for issuing commands to adjust the increase or decrease in the production capacity of DG within reliability and security of the distributed system.