[1]赵为光,董凤麟,杨 莹,等.电氢热多源联合的微能源网优化模型[J].黑龙江科技大学学报,2021,31(05):634-641.[doi:10.3969/j.issn.2095-7262.2021.05.015 ]
 Zhao Weiguang,Dong Fenglin,Yang Ying,et al.Optimization model of combined micro energy network for EHR[J].Journal of Heilonhjiang Institute of Science and Technology,2021,31(05):634-641.[doi:10.3969/j.issn.2095-7262.2021.05.015 ]
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电氢热多源联合的微能源网优化模型()
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《黑龙江科技大学学报》[ISSN:2095-7266/CN:2301588/TD]

卷:
31
期数:
2021年05
页码:
634-641
栏目:
出版日期:
2021-09-30

文章信息/Info

Title:
Optimization model of combined micro energy network for EHR
文章编号:
2095-7262(2021)05-0634-08 文献标志码:A
作者:
赵为光 董凤麟 杨 莹 孙建宇 于天洋
(黑龙江科技大学 电气与控制工程学院, 哈尔滨 150022)
Author(s):
Zhao Weiguang Dong Fenglin Yang Ying Sun Jianyu Yu Tianyang
(School of Electrical & Control Engineering, Heilongjiang University of Science & Technology, Harbin 150022, China)
关键词:
电氢热多能源系统 风电消纳 多目标优化 微能源网
Keywords:
electric hydrogen heating multi-energy system wind power consumption multi-objective optimization micro energy network
分类号:
TM73
DOI:
10.3969/j.issn.2095-7262.2021.05.015
文献标志码:
A
摘要:
针对风力等新能源发电出力的随机性与波动性产生的弃风量导致的电网调度能力降低问题,提出一种基于电转氢、电转热、氢转电、氢转热的多源联合微能源网模型。以电解制氢、电加热设备和微燃机为核心,配合储氢、储热及余热利用装置,通过研究模型各单元的运行特性,建立含能量耦合的多能互补矩阵,建立以系统运行成本和弃风量最小为目标的系统运行优化仿真模型,通过差分进化算法求解。算例结果表明,系统24 h内购电36.7 kW·h,售电74.2 kW·h,购热15.6 kW·h,售热9.5 kW·h,运行成本为594.9元。该模型在降低系统弃风量的基础上具有良好的灵活性与经济性。
Abstract:
This paper is aimed at addressing the lower grid dispatching capacity resulting from the abandonment produced by wind power and other new energy power generation due to the randomness and volatility of output and thus proposes a multi-source combined micro-energy network model based on electricity-to-hydrogen, electricity-to-heat, hydrogen-to-electricity, and hydrogen-to-heat conversion. The model works by developing a multi energy complementary matrix with energy coupling and a system operation optimization simulation model aimed at minimizing system operation cost and waste air volume by taking electrolytic hydrogen production, electric heating equipment and micro gas turbine as the core, combined with hydrogen storage, heat storage and waste heat utilization devices, and investigating the operation characteristics of each unit of the model; and solving the problem using differential evolution algorithm. The results show that this model features a better flexibility and economy, along with reducing the amount of air curtailment in the system, thanks to the system purchasing 36.7 kW·h, selling 74.2 kW·h, purchasing 15.6 kW·h, selling 9.5 kW·h, and selling heat within 24 hours, at the operating cost of 594.9 yuan.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期: 2021-06-08
基金项目: 黑龙江省省属高校基本科研业务费项目(2019-KYYWF-0717)
第一作者简介: 赵为光(1972- ),男,吉林省吉林人,副教授,博士,研究方向: 新能源发电系统建模与优化控制,E-mail:zwg_0711@163.com。
编辑 李德根
更新日期/Last Update: 2021-09-25