Operation optimization of energy bus system based on NSGA-II algorithm

To solve the problem of high energy consumption and difficulty in using low-grade energy in the traditional district heating system, this paper takes a multi-source annular pipe network as an example to construct an energy bus system with surface water, soil and solar energy as cold/heat sources. The operation parameters of the energy bus are optimized by using the NSGA-II optimization algorithm with the typical days of cooling and heating as the reference, the temperature and flow rate of the cold/heat source water supply as the decision variables, and the annual converted cost of the system and the comprehensive performance coefficient of the system as the objective functions. The results show that the annual converted cost of the system is reduced by 11.43% and the comprehensive performance coefficient of the system is increased by 29.59% by optimizing the operation parameters of the energy bus system. Compared with the reference systems with fixed equipment operation parameters, the optimized system not only reduces the purchase cost of electricity and gas during operation, but also minimizes the purchase cost of solar collectors, gas boilers and underground pipes. The relevant conclusions can provide a reference for the planning, design and operation of the energy bus system.