[Objectives]　The operation of a heating system composed of multiple heat sources within a certain region involves heating load distribution

and different heat load distribution schemes lead to different revenues. Therefore

it is necessary to optimize the heating load of the heating system according to heating demands of users in order to maximize the overall revenue. [Methods]　Given the heat load distribution optimization problems in a multi-heat-source heating system of a heat-supply enterprise

a simulation model of a coal-fired boiler back-pressure heating unit is established to determine the thermoelectric characteristics and energy consumption characteristics of the equipment. On this basis

with the objective of maximizing the economic revenue of the heat-supply enterprise

a heating load optimization model is developed based on grid search optimization algorithm

and this model is adopted to optimize the load distribution of the heating system. [Results]　Compared with the conventional operation scheme

the optimized heating scheme increased the annual revenue by approximately 2.65 million yuan

with a maximum increase of 4.63% in the fuel utilization coefficient. [Conclusions]　The grid search optimization algorithm can achieve rapid optimization of heating schemes for multi-heat-source heating systems

thereby providing guidance for the operation of units within the region.