The article presents a method to optimize the allocation of energy resources in a region by considering electricity and heat trading. By using a multi-objective function, the researchers aimed to balance economic efficiency, environmental impact, reliability, and power fluctuations. They optimized the capacity of energy supply equipment in the area using a genetic algorithm. The results of the study showed that this method can reduce system costs and improve decision-making in system planning, providing valuable insights for future energy system designs.