Reactive power reserve margin management for voltage improvement using multiagent immune evolutionary programming optimization technique

Reactive power reserve margin management plays an important role to ensure that the voltage stability of a power system is important and the total power system losses is reduced. This project presents a newly developed optimization technique, termed as Multiagent Immune Evolutionary Programming (MAIEP) optimization technique for solving power reserve margin management utilizing different lattice size to shows the best result. The concept of MAIEP is developed based on the combination of Evolutionary Programming (EP), Multiagent System (MAS) and Artificial Immune System (AIS). As the application shows that after the optimal reactive power rescheduling, the reactive power of the system will be increase and at the same time voltage will improved. Several fitness functions such as total power loss minimization and voltage profile improvement has been explored through the implemented Multiagent Immune Evolutionary Programming optimization technique. The proposed technique was tested with IEEE 30-Bus Test System and the programmed were developed using MATLAB software.