考虑交通流量预测的光-氢-电耦合系统规划OA北大核心CSTPCD
Photovoltaics-hydrogen-electricity Coupling System Planning Considering Traffic Flow Prediction
为解决制氢、加氢站建设成本高、氢燃料汽车加氢具有不确定性特点等问题,提出一种考虑交通流量预测的光-氢-电耦合系统规划模型.首先,建立包含氢气生产、压缩和储存并通过充氢装置注入至氢燃料电池汽车内的现场制氢模型;其次,提出交通流量的预测方法,为制氢、加氢站系统建模和运行提供支持;最后,以最小化成本为目标,构建考虑交通流量预测的光-氢-电耦合系统规划模型,然后以IEEE30标准算例,以 30路网节点为算例分析系统,研究发现制氢、加氢站联合光伏电站有利于降低系统成本;制氢补贴政策的实施使氢气需求增加 28%,制氢、加氢站数量增加 20%;电解槽制氢量快速响应峰谷分时电价变化.结果表明所提模型具有有效性.
To address problems such as the high cost of hydro-gen production and refueling station construction,as well as the uncertainty of hydrogen refueling for hydrogen fuel vehicles,a planning model of photovoltaics-hydrogen-electricity coupling system considering traffic flow prediction was proposed.Firstly,an on-site hydrogen production model including hydro-gen production,compression and storage,and injection into a hydrogen fuel cell vehicle through a hydrogen charging device was established.Secondly,a prediction method of traffic flow was proposed to support the modeling and operating of hydro-gen production and refueling station systems.Then,taking min-imizing the cost as an object,a planning model of a photovolta-ics-hydrogen-electricity coupling system considering traffic flow prediction was constructed.Finally,taking the IEEE30 standard as an example and 30 network nodes as an analyzing system,it was found that combining hydrogen production and refueling stations with photovoltaic power stations is beneficial to reducing the system cost.The implementation of the hydro-gen production subsidy policy increases the demand for hydro-gen by 28%and the number of hydrogen production and refuel-ing stations by 20%.The hydrogen production capacity of elec-trolytic cells responds quickly to the change in peak-valley time-of-use price.The results show that the proposed model is effect-ive.
王辉;梁凌;李乃慧;陈攀
三峡大学 电气与新能源学院,湖北省 宜昌市 443002||三峡大学 湖北省微电网工程技术研究中心,湖北省 宜昌市 443002三峡大学 电气与新能源学院,湖北省 宜昌市 443002三峡大学 电气与新能源学院,湖北省 宜昌市 443002三峡大学 电气与新能源学院,湖北省 宜昌市 443002
动力与电气工程
制氢、加氢站交通流量预测氢燃料电池汽车光伏电站
hydrogen production and refueling stationtraffic flow predictionhydrogen fuel cell vehiclephotovol-taic power station
《现代电力》 2024 (6)
1100-1108,9
国家自然科学基金资助项目(52007103).Project Supported by National Natural Science Foundation of China(52007103).
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