Abstarct: Nowadays, the use of urban railway systems as the major transport system in big cities, face challenges, one of the most important of which is high consumption of electrical energy. Formerly introduced measures to reduce energy consumption which have high energy saving, are usually associated with high costs. If the goal is just to reduce the energy and economic benefits of the proposed solution are not considered, the suggested strategy may not be economic, and thus not practical. In this study, by using the optimal speed profile of the trains simultaneously with super capacitor stationary energy storage systems (SESS), we have tried to reduce the energy consumption of the entire network from an economic standpoint. For this purpose, first a new method was introduced to obtain the optimum speed profile of a train between two successive stations. The method has considered practical implementation as well as accuracy. By introducing the optimization decision parameters, the algorithm and optimization process was fully described. To assess the validity of the proposed method, the obtained simulation results for trains in the studied system has been compared with the results of the simulation done by manufacturing company. In this section for the first time, the variable regenerative energy recovery rate (RERR) for each inter-station was introduced as an effective parameter in speed profile optimization. By using energy-time graphs for each inter-station (IS) and distributing total traveling time between inter-stations, total energy consumption of the multi-train system has been reduced and the impact of variable RERR in energy reduction was also shown. Then the supercapacitor SESSs were presented as the second solution and the effect of the optimization of their size and location on total energy saving in the whole system was shown. Finally, validation of the proposed method was conducted, using the actual values of parameters in the cost function and their applications in the studied system (Mashhad Urban Railway Line 1). By performing the economic analysis, it was shown that the proposed method, using a combination of SESSs and the optimal speed profiles, could be useful in reducing the total cost of energy and investment.