Generation cost and loss power minimization in intentional islanded networks based on BPSO

At present, large electrical undergoes stability problems due to unexpected events such as storms, earthquakes, acts of terrorism etc. Power system operation may close to its stability limits, and power quality will be under standard limits. The large expansion of renewable energy generation has transformed the ordinary electric power systems become a more complicated distributed system. Use of intentional islanding has many benefits for separating one huge network to many islanded network for sake of good stability and quality of electricity. One major benefit is to evade and block wide electricity blackout form spreading of cascading failure. For operating islanded networks, each network has to control its power balance and stability for continuation of power supply with optimum operating point. The purposes of this paper are to optimize generation cost and loss power, and to find the suitable form of islanded networks by using Binary Particle Swarm Optimization together with network reconfiguration in Matlab and Matpower scripting.