Multiobjective evolution programming method for feeder reconfiguration

This paper proposes a multiobjective evolution programming method for distribution feeder reconfiguration in a practical system. The multiple objectives are minimizing power losses, ensuring voltage quality, service reliability assurance, and minimizing switching operations. Generally, the attributes of the above four objectives are not the same and operators' judgment must be involved in trading off between these objectives. Accordingly, this investigation presents an interactive fuzzy algorithm for obtaining a compromise solution. Furthermore, the solution algorithm is implemented in C++ with man-machine interactive procedures and tested on a Tai-Power 102-bus system with very promising results.