An optimization methodology for complex energy system introducing external factors based on the newly developed Pareto-based multiobjective evolutionary algorithms (MOEA) used for solving a real-world power systems multiobjective nonlinear optimization problem is presented. The thermoeconomic, technology and environment objectives are included in