1. 山东理工大学电气与电子工程学院
2. 山东省电力科学研究院
纸质出版日期:2021,
移动端阅览
[1]唐小婷,苏建军,李立生,刘洋,刘澍存,程文,史晓航.基于多元储能型微网的能源枢纽经济调度优化[J].电力电容器与无功补偿,2021,42(03):182-187.
TANG XIAOTING, SU JIANJUN, LI LISHENG, et al. Economic Dispatching Optimization of Energy Hub Based on Multiple Energy Storage Micro Grid. [J]. Power capacitor & reactive power compensation, 2021, 42(3): 182-187.
[1]唐小婷,苏建军,李立生,刘洋,刘澍存,程文,史晓航.基于多元储能型微网的能源枢纽经济调度优化[J].电力电容器与无功补偿,2021,42(03):182-187. DOI: 10.14044/j.1674-1757.pcrpc.2021.03.029.
TANG XIAOTING, SU JIANJUN, LI LISHENG, et al. Economic Dispatching Optimization of Energy Hub Based on Multiple Energy Storage Micro Grid. [J]. Power capacitor & reactive power compensation, 2021, 42(3): 182-187. DOI: 10.14044/j.1674-1757.pcrpc.2021.03.029.
当前迫切需要研究实现可再生能源与电网统一协调发展的能源互联网系统提供技术支撑。通过提出扩展的能源枢纽模型
基于考虑了太阳能光伏发电和可再生能源发电储能技术的参与。分析日常负载需求(例如电、热和冷却)和使用时间能源价格来设置优化问题。为了优化总能源成本
构建了一个数学模型
其中包括一些约束
例如能源枢纽的输入输出能量平衡
电价
系统的容量限制以及可再生能源发电技术的储能效率。比较了基于不同能源枢纽结构的运营案例
以评估太阳能应用和电池储能系统、可再生能源发电技术对运营效率的影响。结果表明
所提出的模型预测了电力和天然气的所需量的重大变化
从而导致总成本降低。
At present
there is an urgent need to provide technical support for the purpose of studying and achieving the energy internet system with unified coordination and development of renewable energy and power grid. Based on the extended energy hub model
the participation of energy storage technology for solar photo voltaic power generation and renewable energy generation is considered. The optimization issue is set through the analysis of daily load demand(e.g.
electricity
heat and cooling)and the use of time energy price. For optimizing the total energy cost
a mathematical model is constructed
which includes some of such constraints as the input and output energy balance of energy hub
electricity price
capacity limitation of system and energy storage efficiency of renewable energy generation technology. The operation cases based on different energy hub structures are compared to assess the influence of solar energy application
battery energy storage system and renewable energy generation technology on operation efficiency. It is shown by the result that the proposed model has predicted significant changes in the demand for electricity and natural gas
thereby resulting in lower total costs.
能源枢纽光伏电池储能系统(BESS)可再生能源发电技术(P2G)通用代数建模系统(GAMS)最优运行
energy hubphoto voltaicbattery energy storage system(BESS)power to gas(P2G)general algebraic modeling system(GAMS)optimal operation
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