The installed capacity of renewable energy generation and the load on the transmission grids continue to increase year on year, but the number of conventional power plants needed to offset the variable electricity production is decreasing. The aim of this work is to develop a linear, revenue-maximizing optimization model for a chain of run-of river plants, which can be used to investigate the potential for balancing fluctuating power generation from wind and photovoltaic power and the potential gains in the electricity market. For this purpose, a mixed integer, linear programming was created in Matlab, which creates a roadmap taking into account the given framework conditions. In this work, the hydroelectric power plants Annabrück, Edling and Schwabeck were used as a real template for various parameters. To illustrate the results, eight selected scenarios and two sensitivity analyses are calculated and graphed. The results show an increase in revenue through the variable mode of operation of the chain of run-of river plants by up to 57,000 per day, as opposed to a constant timetable. Important factors influencing this amount are large price differences during the calculation period. By low, negative and high, positive spot market prices within one day, such as on Sunday the 18.03.2018, a higher revenue than with a constant price profile can be earned. In addition, the level of inflow influences the freedom of the model. More water volumes reduce the possibility of escaping negative spot market prices as the inflow must be dissipated. The avoidance of negative prices by the hydroelectric power stations supports the transmission network in the form of a reduction in the estimated excess electricity production and a resultant stabilizing effect, as the spot market prices also include the extent of renewable energy feed-in. In addition, the profitability of power plants is increased by the variable timetables.