Optimization of Minimum Active Network Loss in Radial Distribution Network Based on Improved Big Bang-Big Crunch Algorithm

Active power network losses and voltage levels of power systems can be will improved by flexible optimal configuration of Shunt Capacitors (SCs) and Distributed Generators (DGs). With the development of modern smart grid technology and increasing demand for electricity, the issue of optimizing the configuration of DGs and SCs in the radial distribution network system to minimize network loss is getting more and more attention. This paper proposes a new Improved Big Bang-Big Crunch algorithm (IBB-BC) to get optimal placements and capacity of SCs and DGs to improve power flow distribution in network system, minimize the active and reactive power loss in networks, and improve voltage stability of each node. In this proposed new algorithm, based on standard Big Bang-Big Crunch algorithm (BB-BC), network loss sensitivity factors are introduced to guide the algorithm to search for the best placement node and improve the updating mechanism to enhance the optimal selection of capacity. The proposed IBB-BC and BB-BC are tested on the standard IEEE-33 and standard IEEE-69 systems to solve the problem of joint configuration optimization of multiple generators and capacitors. The simulation results show the network loss of the optimized reconfigurable standard systems decreases and voltage amplitude increases, which not only controls the energy loss on the line, but also enhances the reliability of the grid. By comparing the results of the standard algorithm and the improved algorithm, IBB-BC is more applicable to the optimization of large number of DGs and SCs.