摘要
综合能源系统(integrated energy system,IES)可以使多类型能源之间实现替代与互补,可以有效地提高能源利用效率和可再生能源的消纳率。分析了综合能源系统的供能结构与内部设备模型,以电制氢(power to gas,P2G)设备作为可再生能源消纳以及CO_(2)的吸收设备,综合考虑可再生能源消纳率以及碳排放指标,建立了IES多目标优化调度模型。通过设置3种场景,重点研究了P2G设备与储电设备分别对IES可再生能源的消纳以及节能减排效益的影响,从容量的配置、经济效益及碳排放3个方面对2类设备进行综合评估。算例分析结果表明,在可再生能源消纳率要求较高时,P2G设备比储电设备在经济效益和节能减排方面具有更优的效果。
The integrated energy system can realize the substitution and complementary between multiple types of energy,and effectively improve the energy utilization efficiency and the consumption rate of renewable energy.Firstly,the energy supply structure and internal equipment model of integrated energy system(IES)are analyzed.P2G(power to gas)equipment is used as the renewable energy consumption and CO_(2) absorption equipment.Considering the renewable energy consumption rate and carbon emission index,the multi-objective optimization scheduling model of IES is established.Through three scenarios,the paper focuses on the influence of P2G equipment and storage equipment on the energy consumption and energy conservation and emission reduction benefits of IES,also comprehensively evaluates the two types of equipment from the aspects of capacity allocation,economic benefit and carbon emission.The analysis results of the examples show that P2G equipment has better effect in economic benefits and energy conservation and emission reduction than the energy storage equipment when the renewable energy consumption rate is high.
作者
尚敬福
马克睿
花志浩
陈奇芳
丛壮
李德宇
SHANG Jingfu;MA Kerui;HUA Zhihao;CHEN Qifang;CONG Zhuang;LI Deyu(State Grid International Development Co.,Ltd.,Beijing 100031,China;School of Electrical Engineering,Beijing Jiaotong University,Beijing 100044,China;Shandong Zhongshi Yitong Group Co.,Ltd.,Jinan 250001,China;Chengde Power Supply Company of State Grid Jibei Power Co.,Ltd.,Chengde 067000,China)
出处
《供用电》
2021年第11期77-84,共8页
Distribution & Utilization
基金
国家自然科学基金项目(52007004)。
关键词
综合能源系统
可再生能源消纳
电制氢(P2G)
碳排放
优化调度
integrated energy system
renewable energy consumption
power to gas(P2G)
carbon emission
optimal scheduling