Optimal Network Reconfiguration with DG-Allocation Using Parallel-PSO Technique

Abstract

Robust power network systems measured by their ability to deal with different instant problems and solve it in short-time. With the penetration and wide using of distributed generators as a power source solution to improve network voltage profile and minimize power losses through busses, extra solutions have to be obtained to deal with issues that appear due to the using of distributed generator such as harmonics, unstable voltage, and other issues. In this paper the using of reconfiguration networks has been investigated as a solution for improving voltage profile and minimize power losses by adding distributed generator through soft open point, to deal with distributed generator issues, and using particle swarm optimization technique for both reconfiguration network to get the best paths for power flow and for allocation of distributed generator to selected the best busses that can give best results, in addition to using parallelism to act the operation in short time period which give the network system the ability to deal online with different issues with fast response. Network-topology-load flow method has been used to calculate power losses and voltage results and a new modification has been created in this research for more easily obtaining Bus-Injected-to-Branch-Current and Branch-Current-to-Bus- Voltage matrixes. Standard IEEE 33-bus system has been used in this paper to act simulations and comparisons between the research results and pervious research which show the improvement through this research.