Construction of Intelligent Distributed Energy Management System in Power System Based on Improved Genetic Algorithm

With the continuous development of China’s power industry, regional energy distribution has gradually become an important way to promote social and economic operation. How to scientifically manage distributed energy urgently needs to be studied and solved. This article constructs an intelligent distributed energy management system in the power system based on improved GA (Genetic Algorithm). In the process of constructing energy distribution projects, there are often problems such as single supply side regulation, seasonal peak regulation, and hourly peak regulation. In the article, simulation experiments were conducted on the operating costs corresponding to different peak shaving ratios of the system. The research results showed that as the system peak shaving ratio increased, the operating costs decreased. When the peak shaving ratio reached a=2.2, the corresponding outdoor opening temperature of the peak shaving heat source was -0.61 °C, and the minimum operating cost was 3.3545 million yuan. It can be seen that the distributed energy system has achieved energy cascade utilization, which is an efficient energy utilization system that can fully utilize nearby new energy sources, reduce users' comprehensive energy consumption costs, and improve energy utilization efficiency.