INVESTIGATIONS ON DIVERSIFIED MULTIOBJECTIVE OPTIMAL POWER FLOW TECHNIQUES WITH INTEGRATION OF RENEWABLE BASED DISTRIBUTED GENERATION

Power industries endeavor for economic operation of electric networks while meeting the challenges of increasing fuel costs, real power loss and growing demand for electricity. Electricity distribution companies tend to integrate different types of distributed generation (DG) units in the distribution network. Integration of DG units with renewable energy such as photo voltaic systems, small wind turbines and small hydro power plants is influenced by geographical and meteorological conditions. The vital goal of power plants are to meet the essential load demand with the lowest possible operating costs while considering equality and inequality constraints. Therefore, to boost the performance of the power system and to meet out voltage instability the objectives like such as minimization of real and reactive power loss, improvement of voltage profile, minimization of cost and voltage stability etc. are taken into consideration. Optimal operation of electric power system networks involves solving of the provoking multi-objective optimization problems with nonlinear and non-convex characteristics. The outmoded solution methods may not yield the universal best solution as many local minima may come across owing to the problem non linearities. It therefore becomes a crucial task of obtaining a truly optimal solution for the optimal real and reactive power flow problems. This p