构建基于柔性负荷的多能互补建筑能源系统是解决孤立乡村能源供给问题的有效手段。采用Matlab/Simulink建立孤立多能互补建筑能源系统优化模型,并以系统的费用年值最低为优化目标,基于遗传算法求解计算。研究结果表明,与不考虑柔性负荷相比,柔性电负荷、柔性热负荷、柔性电/热负荷参与调节时,系统的费用年值分别降低了5.24%、33.11%与35.50%。柔性电负荷参与调节后,负荷向光伏出力时段平移,储能电池和柴油发电机的容量得以降低。与仅有柔性热负荷参与调节相比,柔性电、热负荷同时参与调节时,室内温度波动平缓,波动振幅小。
Abstract
Multi-energy complementary building energy systems based on flexible load can address the issue of energy supply in isolated rural areas. In this study, the optimization model of isolated multi-energy complementary building energy system is established in Matlab/Simulink. Taking the minimum annual cost of the system as the optimization objective, the genetic algorithm is used to solve the problem. The results show that the annual system cost can be saved by 5.24%,33.11%, and 35.50% respectively when the flexible electric load, the flexible thermal load, and the flexible electrical/thermal load participate in the regulation. After the flexible electrical load participates in the djustrnent, the load shifts to the photovoltaic output period, and the capacity of the energy storage battery and diesel generator is reduced. Compared with the flexible thermal load, the indoor temperature fluctuates more gently when the flexible electrical and thermal load simultaneously participate in the regulation.
关键词
多能互补 /
柔性负荷 /
优化设计 /
孤立建筑能源系统 /
遗传算法
Key words
multi-energy complement /
flexible load /
optimal design /
isolated building energy system /
genetic algorithm
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基金
国家自然科学基金青年项目（52008328）; 陕西省重点研发项目（2018ZDCXL-SF-03-01）
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