Optimal Scheduling of Multi-Energy Complementary Systems Based on an Improved NSGA-II Algorithm

With the continuous decrease of fossil energy reserves, vigorously developing renewable energy sources such as wind and solar has been regarded as an important direction of China’s energy strategy. However, the randomness and instability of renewable energy power generation pose a great threat to the safe and stable operation of the grid after connecting to the grid, which limits the large-scale application of renewable energy and hinders the development of new energy power generation. The energy conversion device in the multi-energy complementary system provides favorable conditions for the integration of various energy sources, realizes energy complementarity, and facilitates the stable output of different energy forms. This paper takes the multi-energy complementary system in an agricultural park as the research object, which includes the input of various energy sources, such as wind, light, electricity, and gas, as well as the output of various energy sources, such as electricity, heat, and cold. The study establishes a multi-objective optimization model based on the improved NSGA-II algorithm and discusses in depth the effects of different optimal scheduling strategies, different energy storage types, and different initial states of energy storage on the scheduling of the multi-energy complementary system. The aim is to obtain an operational scheduling model that maximizes the comprehensive benefits of the system.