Minimization of Energy Loss using Integrated Evolutionary Approaches

The paper presents a hybrid approach to minimize real energy power losses in the given power-system network to improve system performance and to reduce the overall cost of power transmission. Integration of Genetic Algorithm and hybridized Simulated Annealing with Pattern Search are used and proposed to determine the optimum adjustments to the control variables. Continuous and discrete operating variables such as scheduling of power generations, transformer's tap changer settings and voltage control of generating buses as well are considered. The proposed method is applied to 9-bus, IEEE 14-, 30-bus standard systems and New England 39-bus system with different operating scenarios. The numerical test results and simulations with different load patterns and single line outages have been demonstrated and analyzed. Effect of changing the control variables have been studied and investigated as well. The results obtained show the effectiveness, flexibility, and applicability of the proposed approach for power loss minimization with considering overload condition of lines with high accuracy and in acceptable computational time.