OPTICAL CAPACITOR PLACEMENT USING NEURO-FUZZY SYSTEM FOR POWER QUALITY IMPROVEMENT

In any power system capacitor placement is a main concern in order to attain voltage stability. Neuro-fuzzy is an efficient approach for capacitor placement at optimum locations and size of conductors with the objective of improving voltage profile and reduction of losses. In this paper capacitor placement is done by the neuro-fuzzy technique. The optimal capacitor placement (OCP) problems contain the integer variables because the each capacitor bank is integer value. For optimization discrete nature of capacitors and different load levels are taken into considerations. Various sets of equality and inequality constraints are considered for non differentiable and non linear mixed integer optimization. The loss minimization in distribution systems has assumed greater significance recently since the trend towards distribution automation will require the most efficient operating scenario for economic viability variations.