[1]彭怀午,李安桂,王 鑫,等.基于IAHP-变异系数法的分布式能源系统评价体系[J].西安建筑科技大学学报(自然科学版),2020,52(04):572-578.[doi:10.15986-j.1006-7930.2020.04.015]
　PENG Huaiwu,LI Angui,WANG Xin,et al.Distributed energy system evaluation matrix model and index quantification analysis based on IAHP-variation coefficient method[J].J. Xi’an Univ. of Arch. & Tech.(Natural Science Edition),2020,52(04):572-578.[doi:10.15986-j.1006-7930.2020.04.015]
点击复制

基于IAHP-变异系数法的分布式能源系统评价体系()
分享到：

西安建筑科技大学学报（自然科学版）[ISSN:1006-7930/CN:61-1295/TU]

卷:
52
期数:
2020年04期
页码:
572-578
栏目:
出版日期:
2020-08-28

文章信息/Info

Title:
Distributed energy system evaluation matrix model and index quantification analysis based on IAHP-variation coefficient method
文章编号:
1006-7930(2020)04-0572-07
作者:
彭怀午1; 李安桂2; 王 鑫 2; 牛东圣1; 李 扬2; 许晨琛1
(1.中国电建集团西北勘测设计研究院有限公司,陕西 西安,710065; 2.西安建筑科技大学 建筑设备科学与工程学院,陕西 西安,710055)
Author(s):
PENG Huaiwu1; LI Angui2; WANG Xin2; NIU Dongsheng1; LI Yang1; XU Chenchen2
(1.Northwest Engineering Co. Ltd., Power China, Xi’an 710065, China; 2. School of Building Services Science and Engineering, Xi’an Univ. of Arch. & Tech., Xi’an 710055, China)
关键词:
园区分布式能源系统;  评价指标;  改进的层次分析法;  变异系数法;  综合评价模型
Keywords:
distributed energy system;  evaluation index;  improved analytic hierarchy process;  coefficient of variation method;  comprehensive evaluation model
分类号:
TU318
DOI:
10.15986-j.1006-7930.2020.04.015
文献标志码:
A
摘要:
针对区域分布式能源综合利用项目后评价体系的缺乏,建立了园区分布式能源系统评估模型,为能源综合利用项目的建设提供参考.从经济、能源、环保、可靠性四个方面定义了11项二级指标构建多维度的评价体系,提出改进层次分析法(IAHP)-变异系数法的综合评价方法,并对三个典型案例项目进行综合赋权计算分析,量化分析指标.分析表明,本文提出的园区分布式能源综合评价方法可行,并具有计算量小、使用方便、适用性宽等优点.
Abstract:
Aiming at the lack of post-evaluation system of regional distributed energy comprehensive utilization project, the evaluation model of distributed energy system in the park is established to provide reference for the construction of energy comprehensive utilization project. In this paper, 11 secondary indexes were defined from the aspects of economy, energy, environmental protection and reliability to construct a multi-dimensional evaluation system, and the comprehensive evaluation method of improved analytic hierarchy process(IAHP)-coefficient of variation method was put forward. Analysis shows that the comprehensive evaluation method of distributed energy in the park proposed in this paper is feasible and has the advantages of small computation, easy to use and wide applicability.

参考文献/References:

[1] HUANG A Q, CROW M L, HEYDT G T, et al. The future renewable electric energy delivery and management(FREEDM)system: Theenergyinternet[J]. Proc IEEE, 2011, 99: 133-148.
[2] 甘中学, 朱晓军, 王成, 等. 泛能网——信息与能量耦合的能源互联网[J]. 中国工程科学, 2015(9):98-104.
GAN Zhongxue, ZHU Xiaojun, WANG Cheng, et al. Faneng Internet: Energy internet with information and energy coupling[J]. China Engineering Science, 2015(9):98-104.
[3] JIN M, FENG W, LIU P, et al. MOD-DR:Microgrid optimal dispatch with demand response[J]. Applied Energy, 2017, 187: 758-776.
[4] 洪潇. 区域能源互联网多能源协调评价模型研究[D]. 北京:华北电力大学(北京),2018.
HONG Xiao. Multi-energy coordination evaluation model of regional energy internet [D]. Beijing: North China Electric Power University, 2018.
[5] 张涛,朱彤,高乃平,等,分布式冷热电能源系统优化设计及多指标综合评价方法的研究[J].中国电机工程学报,2015,35(14): 3706-3713.
ZHANG Tao, ZHU Tong, GAO Naiping, et al. Optimization design of distributed cold, hot and electric energy system and multi-index comprehensive evaluation method [J]. Chinese Journal of Electrical Engineering, 2015,35(14):3706-3713.
[6] 蒋菱,袁月,王峥,等.智能电网创新示范区能源互联网评估指标及评价方法[J]. 电力系统及其自动化学报,2016,28(1):39-45.
JIANG Ling, YUAN Yue, WANG Zheng, et al. Evaluation index and evaluation method of energy Internet in smart grid innovation demonstration zone [J]. Journal of Power System and Automation,2016,28(1):39-45.
[7] 杨永标,郑红娟,霍现旭,等.小型能源互联网多源优化综合评估技术研究[J]. 电器与能效管理技术,2017(8):53-60.
YANG Yongbiao, ZHENG Hongjuan, HUO Xianxu, et al. Research on multi-source optimization and comprehensive assessment technology for small energy Internet [J]. Electric Appliances and Energy Efficiency Management Technology,2017(8):53-60.
[8] 吴强,程林,黄河,等.基于层次分析法的能源互联网综合能效评估方法[J]. 电气应用,2017,36(17):62-68.
WU Qiang, CHENG Lin, HUANG He, et al. Energy Internet comprehensive energy efficiency evaluation method based on analytic hierarchy process [J]. Electrical Application, 2017,36(17):62-68.
[9] 董福贵,张也,尚美美.分布式能源系统多指标综合评价研究[J]. 中国电机工程学报,2016,36(12):3214-3223.
DONG Fugui,ZHANG Ye,SHANG Meimei.Multi-criteria comprehensive evaluation of distributed energy system[J].Proceedings of the CSEE,2016,36(12):3214-3222.
[10]ZHU Xiaochen, NIU Dapeng, WANG Xu, et al. Comprehensive energy saving evaluation of circulating cooling water system based on combination weighting method[J]. Applied Thermal Engineering. 2019,157.
[11]陈柏森,廖清芬,刘涤尘,等.区域综合能源系统的综合评估指标与方法[J]. 电力系统自动化,2018,42(4):174-182.
CHEN Baisen, LIAO Qingfen, LIU Dianchen, et al. Comprehensive evaluation index and method of regional integrated energy system [J]. Automation of Power System, 2018,42(4): 174-182.
[12]张世翔,吕帅康.面向园区微电网的综合能源系统评价方法[J]. 电网技术,2018,42(8):2431-2439.
ZHANG Shixiang, LU Shuaikang. Evaluation method of integrated energy system for microgrid in the park [J]. Grid Technology, 2018, 42(8): 2431-2439.
[13]WANG Yi, CHENG Jiangnan, ZHANG Ning, et al. Automatic and linearized modeling of energy hub and its flexibility analysis[J]. Applied Energy. 2018,211:705-714.
[14]林威,靳小龙,穆云飞,等.区域综合能源系统多目标最优混合潮流算法[J]. 中国电机工程学报,2017,37(20):5829-5839.
LIN Wei, JIN Xiaolong, MU Yunfei,et al. Multi-objective optimal hybrid power flow algorithm for regional integrated energy system [J]. Chinese Journal of Electrical Engineering, 2017,37(20):5829-5839.
[15]徐健. 区域能源互联网运行控制技术研究[D]. 成都:西南交通大学,2017.
XU Jian. Research on regional energy Internet operation control technology [D]. Chengdu: Southwest Jiaotong University,2017.
[16]李洋,吴鸣,周海明,等.基于全能流模型的区域多能源系统若干问题探讨[J]. 电网技术,2015,39(8):2230-2237.
LI Yang, WU Ming, ZHOU Haiming, et al. Discussion on several problems of regional multi-energy system based on all-powerful flow model [J]. Grid Technology, 2015,39(8): 2230-2237.
[17]康重庆,王毅,张靖,等.国家能源互联网发展指标体系与态势分析[EJ/OL].电信科学,2019,35(6):2-14.
KANG Chongqing, WANG Yi, ZHANG Jing, et al.National energy internet development index system and situation analysis [EJ/OL]. Telecommunications Science, 2019,35(6):2-14.
[18]杜康,袁宏俊,郑亚男.基于三角模糊数及GIOWA算子的区间型组合预测模型[J]. 统计与决策,2019(16):22-28.
DU Kang, YUAN Hongjun, ZHENG Yanan. Interval combinatorial prediction model based on triangular fuzzy number and GIOWA operator [J]. Statistics and Decision,2019(16):22-28.
[19]HAN Lu, SONG Yonghui, DUAN Liang, et al. Risk assessment methodology for Shenyang Chemical Industrial Park based on fuzzy comprehensive evaluation[J]. Environmental Earth Sciences. 2015,73,(9):5185-5192.
[20]WANG Xinyi, WANG Tiantian, WANG Qi, et al. Evaluation of floor water inrush based on fractal theory and an improved analytic hierarchy process[J]. Mine Water and the Environment. 2017,36,(1):87-95.
[21]PROOST JOHANNES H. Calculation of thecoefficient of variation of log-normally distributed parameter values.[J]. Clinical Pharmacokinetics, 2019,58(9): 1101-1102.

备注/Memo

备注/Memo:
收稿日期:2019-11-28 修改稿日期:2020-07-10
基金项目:十二五国家科技支撑课题合作单位基金资助项目(2011BAJ03B03-5)
第一作者:彭怀午(1979-), 男, 教授级高工, 博士,主要研究方向:新能源发电规划设计与研究.E-mail:phive@163.com.
更新日期/Last Update: 2020-09-25