Abstarct: In this work, a multi-generation system including microturbine, organic Rankine cycle, ejector, solar collector and absorption chiller, has been studied. In this system, initially the microturbine produces electricity using input fuel, then, it’s exhaust heat is used by ORC for recycle to produce electricity and cooling load by ejector. The leftover exhaust heat is Reinforced by solar collector and is utilized by abortion chiller for heating and cooling. In the following, first the component of the proposed system is modeled, then the equations regarding to economic analysis are proposed. Objective function of Total Annual cost for system optimization by genetic algorithm has been introduced. The results indicate that the proposed system is superior than traditional system, in terms related to energy and exergy efficiency. Using the discounted cash flow method, the return on investment is 4.052 years. Comparison between three different fluid shows that R245fa needs more investment cost and higher sales, and R123 is the lowest one. Increase in pinch and approach temperature leads to decrease in total annual cost and exergy efficiency, and increasing the microturbine produced load causes an increase in exergy efficiency and total annual cost up to 75%. Increase in environment temperature leads to decrease in net power and increase in the rate of fuel to produced power, also increase in fuel price leads to increase in total annual costs. After optimization in system, R123 has been chosen as the working fluid because of better total annual costs and energy-exergy efficiency. A survey through different costs indicates that only investment costs of this system is decreasing. After optimization, the number of collectors has reached from 197 to 94. Also, genetic algorithm chooses 2 microturbines for system, regarding to all the costs.