基于NSGA-II算法的能源总线系统运行优化
Operation optimization of energy bus system based on NSGA-II algorithm
摘要：
为解决传统区域供热系统能耗偏高、难以利用低品位能源的问题,本文以某多源环状管网为例,构建了以地表水、土壤和太阳能为冷热源的能源总线系统。以制冷、制热典型日为参考,冷热源供水温度与流量为决策变量,系统年折算成本和系统综合性能系数为目标函数,采用NSGA-II优化算法对该能源总线的运行参数进行了优化。结果表明:通过对能源总线系统运行参数的优化,使得系统年折算成本降低11.43%,系统综合性能系数提升29.59%;与固定设备运行参数的参考系统相比,优化后的系统不仅降低了运行过程中的电力、燃气购置费用,还最大限度降低了太阳能集热器、燃气锅炉与地埋管等设备的购置费用。相关结论可为能源总线系统的规划设计与运行提供参考。
Abstract：
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.
Keywords:energy bus system; heat pump; multi energy complementary; solar energy; operation optimization