| [1] | 陈明, 张凤荣, 肖茜文. 基于灰色系统神经网络的中国低碳能源供需形势分析 [J]. 生态经济, 2017, 33(2): 14-18,27. CHEN M, ZHANG F R, XIAO Q W. Analysis of low carbon energy supply and demand situation in China based on grey system-neural network [J]. Ecological economy, 2017, 33(2): 14-18,27. |
| [2] | 彭张林, 张强, 杨善林. 综合评价理论与方法研究综述 [J]. 中国管理科学, 2015, 23(增刊1): 245-256. PENG Z L, ZHANG Q, YANG S L. Overview of comprehensive evaluation theory and methodology [J]. Chinese journal of management science, 2015, 23(Suppl.1): 245-256. |
| [3] | 赵振宇, 戴赛岚, 郭润凡. 新能源城市评价指标体系的构建与研究 [J]. 黑龙江电力, 2020, 42(1): 17-21. DOI: 10.13625/j.cnki.hljep.2020.01.004. ZHAO Z Y, DAI S L, GUO R F. Construction and research of new energy city evaluation index system [J]. Heilongjiang electric power, 2020, 42(1): 17-21. DOI: 10.13625/j.cnki.hljep.2020.01.004. |
| [4] | 许龙, 王庆刚, 杨谋存, 等. 计及资源禀赋的全可再生能源多能互补系统评价指标体系 [J]. 电网技术, 2022, 46(10): 4012-4019. DOI: 10.13335/j.1000-3673.pst.2021.2087. XU L, WANG Q G, YANG M C, et al. Evaluation index system of fully renewable energy multi-energy complementary system considering renewable resource endowment [J]. Power system technology, 2022, 46(10): 4012-4019. DOI: 10.13335/j.1000-3673.pst.2021.2087. |
| [5] | 谭伟, 何光宇, 刘锋, 等. 智能电网低碳指标体系初探 [J]. 电力系统自动化, 2010, 34(17): 1-5. TAN W, HE G Y, LIU F, et al. A preliminary investigation on smart grid's low-carbon index system [J]. Automation of electric power systems, 2010, 34(17): 1-5. |
| [6] | YANG K, YAN D, ZHU N, et al. Multi-criteria integrated evaluation of distributed energy system for community energy planning based on improved grey incidence approach: a case study in Tianjin [J]. Applied energy, 2018, 229: 352-363. DOI: 10.1016/j.apenergy.2018.08.016. |
| [7] | XU D H, QU M. Energy, environmental, and economic evaluation of a CCHP system for a data center based on operational data [J]. Energy & buildings, 2013, 67: 176-186. DOI: 10.1016/j.enbuild.2013.08.021. |
| [8] | BAI Y F, ZHANG W R, YANG X W S Y Y, et al. The framework of technical evaluation indicators for constructing low-carbon communities in China [J]. Buildings, 2021, 11(10): 479. DOI: 10.3390/buildings11100479. |
| [9] | 周欢, 黄龙琼, 伍人剑, 等. 基于绿色㶲经济的综合能源系统价值评价方法 [J]. 电力系统自动化, 2020, 44(2): 36-42. DOI: 10.7500/AEPS20190130005. ZHOU H, HUANG L Q, WU R J, et al. Value assessment method of integrated energy system based on green exergy economy [J]. Automation of electric power systems, 2020, 44(2): 36-42. DOI: 10.7500/AEPS20190130005. |
| [10] | 蔡京陶, 李志铿, 赵青宇, 等. 园区能源互联网规划评价指标体系与方法 [J]. 南方能源建设, 2019, 6(3): 75-80. DOI: 10.16516/j.gedi.issn2095-8676.2019.03.013. CAI J T, LI Z K, ZHAO Q Y, et al. Research on benefit evaluation method of user side distributed energy storage system [J]. Southern energy construction, 2019, 6(3): 75-80. DOI: 10.16516/j.gedi.issn2095-8676.2019.03.013. |
| [11] | 钟依庐, 王路, 郑赟, 等. 适于工业园区综合能源类项目的综合评价指标体系 [J]. 电力需求侧管理, 2020, 22(3): 51-56. DOI: 10.3969/j.issn.1009-1831.2020.03.011. ZHONG Y L, WANG L, ZHENG Y, et al. Comprehensive evaluation index system for integrated energy system in industrial park [J]. Power demand side management, 2020, 22(3): 51-56. DOI: 10.3969/j.issn.1009-1831.2020.03.011. |
| [12] | 沈萌, 张干, 张可爱. 园区级区域综合能源系统综合评价方法及应用 [J]. 北京理工大学学报(社会科学版), 2022, 24(4): 52-65. DOI: 10.15918/j.jbitss1009-3370.2022.1649. SHEN M, ZHANG G, ZHANG K A. Comprehensive evaluation method and application study of campus-level regional integrated energy system [J]. Journal of Beijing Institute of Technology(social sciences edition), 2022, 24(4): 52-65. DOI: 10.15918/j.jbitss1009-3370.2022.1649. |
| [13] | 高建宇. 考虑电能替代效果的综合能源系统效益评价方法研究 [D]. 北京: 华北电力大学(北京), 2021. DOI: 10.27140/d.cnki.ghbbu.2021.000375. GAO J Y. Research on the evaluation method for the benefits of integrated energy system considering the effect of electric energy substitution [D]. Beijing: North China Electric Power University, 2021. DOI: 10.27140/d.cnki.ghbbu.2021.000375. |
| [14] | 王冠. 发电侧与用电侧参与电能替代的效益分析与优化研究 [D]. 北京: 华北电力大学(北京), 2017. DOI: 10.7666/d.Y3264516. WANG G. The study on the comprehensive benefits analysis and optimization model for electric power alternative considering generation side and customer side [D]. Beijing: North China Electric Power University, 2017. DOI: 10.7666/d.Y3264516. |
| [15] | 罗洋. 基于AHP-熵权法的综合能源系统多指标评价研究 [D]. 保定: 华北电力大学, 2021. DOI: 10.27139/d.cnki.ghbdu.2021.000746. LUO Y. Research on multi index evaluation method of integrate energy system based on AHP-entropy weight method [D]. Baoding: North China Electric Power University, 2021. DOI: 10.27139/d.cnki.ghbdu.2021.000746. |
| [16] | 吴悠. 计及可靠性的综合能源系统配置优化研究 [D]. 北京: 华北电力大学(北京), 2021. DOI: 10.27140/d.cnki.ghbbu.2021.000885. WU Y. Research on optimal configuration of integrated energy system considering reliability [D]. Beijing: North China Electric Power University (Beijing), 2021. DOI: 10.27140/d.cnki.ghbbu.2021.000885. |
| [17] | 陈灵敏, 吴杰康, 唐惠玲, 等. 考虑可再生能源消纳的CCHP微能源网优化配置模型 [J]. 电力工程技术, 2019, 38(5): 121-129. DOI: 10.12158/j.2096-3203.2019.05.018. CHEN L M, WU J K, TANG H L, et al. Optimal allocation model of the micro-energy grid with CCHP considering renewable energy consumption [J]. Electric power engineering technology, 2019, 38(5): 121-129. DOI: 10.12158/j.2096-3203.2019.05.018. |
| [18] | 许晶晶. 重庆市能源效率评价及影响因素分析 [D]. 重庆: 重庆大学, 2016. XU J J. Evaluation of Chongqing's energy efficiency and analysis of affecting factors [D]. Chongqing: Chongqing University, 2016. |
| [19] | 李彦普. 中国省域能源绿色发展评价实证研究——以河南省为例 [J]. 科技管理研究, 2020, 40(19): 63-69. DOI: 10.3969/j.issn.1000-7695.2020.19.010. LI Y P. Research on evaluating green development of energy in China's provinces and regions: take Henan Province as an example [J]. Science and technology management research, 2020, 40(19): 63-69. DOI: 10.3969/j.issn.1000-7695.2020.19.010. |
| [20] | 唐静媛. 中国省域能源发展质量的综合评价研究 [D]. 长沙: 湖南大学, 2020. DOI: 10.27135/d.cnki.ghudu.2020.002592. TANG J Y. Research on comprehensive evaluation of energy development quality of Chinese provinces [D]. Changsha: Hunan University, 2020. DOI: 10.27135/d.cnki.ghudu.2020.002592. |
| [21] | 韩君, 吴俊珺. 新时代我国能源高质量发展评价体系构建与测度研究 [J]. 重庆理工大学学报(社会科学版), 2020, 34(3): 35-45. DOI: 10.3969/j.issn.1674-8425(s).2020.03.005. HAN J, WU J J. Research on the construction and measurement of China's energy quality development evaluation system in the new era [J]. Journal of Chongqing University of Technology (social science), 2020, 34(3): 35-45. DOI: 10.3969/j.issn.1674-8425(s).2020.03.005. |
| [22] | 张沈生, 吕振瑛, 潘东旭. 沈阳市工业能源综合利用效率评价研究 [J]. 生态经济, 2019, 35(2): 74-80. ZHANG S S, LÜ Z Y, PAN D X. Research on the evaluation of comprehensive utilization efficiency of industrial energy in Shenyang [J]. Ecological economy, 2019, 35(2): 74-80. |
| [23] | 张协奎, 王德磊, 刘伟. 西部地区可再生能源发电绩效评价研究 [J]. 学习与探索, 2021(4): 128-135. DOI: 10.3969/j.issn.1002-462X.2021.04.017. ZHANG X K, WANG D L, LIU W. Research on the performance evaluation of renewable energy power generation in the western region [J]. Study & exploration, 2021(4): 128-135. DOI: 10.3969/j.issn.1002-462X.2021.04.017. |
| [24] | 崔琪, 马晓钰, 张思思. 绿色全要素能源效率评价及影响因素研究——基于中国八大经济区数据的分析 [J]. 技术经济与管理研究, 2022(3): 94-99. DOI: 10.3969/j.issn.1004-292X.2022.03.016. CUI Q, MA X Y, ZHANG S S. Study on evaluation and influencing factors of green total factor energy efficiency analysis: based on data from China's eight economic regions [J]. Journal of technical economics & management, 2022(3): 94-99. DOI: 10.3969/j.issn.1004-292X.2022.03.016. |
| [25] | 陈丹临. 开放经济环境下长三角地区能源-环境-经济系统协调度评价 [J]. 现代经济探讨, 2020(12): 74-79. DOI: 10.3969/j.issn.1009-2382.2020.12.010. CHEN D L. Research on the evaluation of the coordination degree of the energy-environment-economy system in the Yangtze river delta under the open economic environment [J]. Modern economic research, 2020(12): 74-79. DOI: 10.3969/j.issn.1009-2382.2020.12.010. |
| [26] | 杨雅文. 京津冀能源-经济-环境(3E)系统协调发展评价及其脱钩关系研究 [D]. 北京: 北京化工大学, 2022. DOI: 10.26939/d.cnki.gbhgu.2022.001027. YANG Y W. Evaluation of coordinated development of Beijing-Tianjin-Hebei energy-economy-environment (3E) system and its decoupling relationship [D]. Beijing: Beijing University of Chemical Technology, 2022. DOI: 10.26939/d.cnki.gbhgu.2022.001027. |
| [27] | 陈柔昀, 王珊, 王智苑, 等. 关于能源-经济-环境耦合协调发展评价——以近15年的福建省为例 [J]. 环渤海经济瞭望, 2022, 36(4): 61-64. DOI: 10.16457/j.cnki.hbhjjlw.2022.04.057. CHEN R Y, WANG S, WANG Z Y, et al. Evaluation on coordinated development of energy-economy-environment coupling-taking Fujian Province as an example in the past 15 years [J]. Economic outlook the Bohai sea, 2022, 36(4): 61-64. DOI: 10.16457/j.cnki.hbhjjlw.2022.04.057. |
| [28] | 郭正权, 高杰. 北京市能源安全水平评价分析 [J]. 北方工业大学学报, 2019, 31(5): 1-7. DOI: 10.3969/j.issn.1001-5477.2019.05.001. GUO Z Q, GAO J. Analysis of energy security level in Beijing [J]. Journal of North China University of Technology, 2019, 31(5): 1-7. DOI: 10.3969/j.issn.1001-5477.2019.05.001. |
| [29] | 高杰. 北京市能源安全评价研究 [D]. 北京: 北方工业大学, 2020. DOI: 10.26926/d.cnki.gbfgu.2020.000296. GAO J. Research on Beijing energy security evaluation [D]. Beijing: North China University of Technology, 2020. DOI: 10.26926/d.cnki.gbfgu.2020.000296. |
| [30] | 严嘉伦, 林俊光, 楼可炜, 等. 基于AHP-变异系数法的楼宇型综合能源系统评价体系 [J]. 热力发电, 2019, 48(12): 25-30. DOI: 10.19666/j.rlfd.201904162. YAN J L, LIN J G, LOU K W, et al. Evaluation system for building integrated energy system based on AHP-CV method [J]. Thermal power generation, 2019, 48(12): 25-30. DOI: 10.19666/j.rlfd.201904162. |
| [31] | 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. DOI: 10.13334/j.0258-8013.pcsee.2015.14.027. ZHANG T, ZHU T, GAO N P, et al. Optimization design and multi-criteria comprehensive evaluation method of combined cooling heating and power system [J]. Proceedings of the CSEE, 2015, 35(14): 3706-3713. DOI: 10.13334/j.0258-8013.pcsee.2015.14.027. |
| [32] | 王强, 陈爱娇. 福建省能源安全评价及特征分析 [J]. 福建师范大学学报(自然科学版), 2016, 32(5): 96-105. WANG Q, CHEN A J. The evolution and characteristics of Fujian's energy security [J]. Journal of Fujian Normal University (natural science edition), 2016, 32(5): 96-105. |
| [33] | 陈嘉鹏, 汤乃云, 汤华. 考虑可再生能源利用率的风-光-气-储微能源网经济调度研究 [J]. 可再生能源, 2020, 38(1): 70-75. DOI: 10.3969/j.issn.1671-5292.2020.01.014. CHEN J P, TANG N Y, TANG H. Research on the economic dispatch of regional micro energy grid including wind power, photovoltaic power, fuel gas units and energy storage battery [J]. Renewable energy resources, 2020, 38(1): 70-75. DOI: 10.3969/j.issn.1671-5292.2020.01.014. |
| [34] | 徐宝萍, 徐稳龙. 新区规划可再生能源利用率算法研究与探讨 [J]. 暖通空调, 2013, 43(10): 52-55,45. XU B P, XU W L. Study and discussion on assessment method of renewable energy utilization rate for new district planning [J]. Heating ventilating & air conditioning, 2013, 43(10): 52-55,45. |
| [35] | 何浩. 计及风光消纳的区域综合能源系统两阶段规划研究 [D]. 西安: 西安理工大学, 2020. DOI: 10.27398/d.cnki.gxalu.2020.000679. HE H. Research on two-stage planning of regional integrated energy system considering absorption of wind and solar [D]. Xi'an: Xi'an University of Technology, 2020. DOI: 10.27398/d.cnki.gxalu.2020.000679. |
| [36] | 许涤龙, 欧阳胜银. 低碳经济统计评价体系的构建 [J]. 统计与决策, 2010, 26(22): 21-24. DOI: 10.13546/j.cnki.tjyjc.2010.22.019. XU D L, OUYANG S Y. Construction of statistical evaluation system for low-carbon economy [J]. Statistics & decision, 2010, 26(22): 21-24. DOI: 10.13546/j.cnki.tjyjc.2010.22.019. |
| [37] | 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): 2431-2438. DOI: 10.13335/j.1000-3673.pst.2018.0693. ZHANG S X, LÜ S K. Evaluation method of park-level integrated energy system for microgrid [J]. Power system technology, 2018, 42(8): 2431-2438. DOI: 10.13335/j.1000-3673.pst.2018.0693. |
| [38] | 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. DOI: 10.7500/AEPS20170605005. CHEN B S, LIAO Q F, LIU D C, et al. Comprehensive evaluation indices and methods for regional integrated energy system [J]. Automation of electric power systems, 2018, 42(4): 174-182. DOI: 10.7500/AEPS20170605005. |
| [39] | 叶琪超, 楼可炜, 张宝, 等. 多能互补综合能源系统设计及优化 [J]. 浙江电力, 2018, 37(7): 5-12. DOI: 10.19585/j.zjdl.201807002. YE Q C, LOU K W, ZHANG B, et al. Design and optimization of multi-energy complementary integrated energy system [J]. Zhejiang electric power, 2018, 37(7): 5-12. DOI: 10.19585/j.zjdl.201807002. |
| [40] | 李志学, 李乐颖, 陈健. 产业结构、碳权市场与技术创新对各省区碳减排效率的影响 [J]. 科技管理研究, 2019, 39(16): 79-90. DOI: 10.3969/j.issn.1000-7695.2019.16.011. LI Z X, LI L Y, CHEN J. Effects of industrial structure, carbon rights market and technological innovation on carbon emission reduction efficiency of various provinces [J]. Science and technology management research, 2019, 39(16): 79-90. DOI: 10.3969/j.issn.1000-7695.2019.16.011. |
| [41] | 赵璞, 周满, 高建宇, 等. 基于电能替代的园区综合能源规划评价方法 [J]. 中国电力, 2021, 54(4): 130-140. DOI: 10.11930/j.issn.1004-9649.202006250. ZHAO P, ZHOU M, GAO J Y, et al. Evaluation method for park-level integrated energy system based on electric power substitution [J]. Electric power, 2021, 54(4): 130-140. DOI: 10.11930/j.issn.1004-9649.202006250. |
| [42] | 陈炽野, 文亚凤, 刘自发, 等. 含有多种分布式电源的配电网综合评估方法 [J]. 电力建设, 2015, 36(1): 128-135. DOI: 10.3969/j.issn.1000-7229.2015.01.020. CHEN C Y, WEN Y F, LIU Z F, et al. Comprehensive evaluation method of distribution network including various types of distributed generation [J]. Electric power construction, 2015, 36(1): 128-135. DOI: 10.3969/j.issn.1000-7229.2015.01.020. |
| [43] | 李品, 张金锁. 区域能源供给安全水平动态性评价——以西北和东北能源富集区为例 [J]. 西安科技大学学报, 2019, 39(1): 152-159. DOI: 10.13800/j.cnki.xakjdxxb.2019.0122. LI P, ZHANG J S. Dynamic evaluation on regional energy supply security: taking northwest and northeast China energy enrichment area as example [J]. Journal of Xi'an University of Science and Technology, 2019, 39(1): 152-159. DOI: 10.13800/j.cnki.xakjdxxb.2019.0122. |
| [44] | 康智韬. 园区综合能源系统综合评价与优化策略研究 [D]. 扬州: 扬州大学, 2022. DOI: 10.27441/d.cnki.gyzdu.2022.001442. KANG Z T. Research on the comprehensive evaluation and optimization strategy of the comprehensive energy system in the park [D]. Yangzhou: Yangzhou University, 2022. DOI: 10.27441/d.cnki.gyzdu.2022.001442. |
| [45] | 邓雪, 李家铭, 曾浩健, 等. 层次分析法权重计算方法分析及其应用研究 [J]. 数学的实践与认识, 2012, 42(7): 93-100. DOI: 10.3969/j.issn.1000-0984.2012.07.012. DENG X, LI J M, ZENG H J, et al. Research on computation methods of AHP wight vector and its applications [J]. Mathematics in practice and theory, 2012, 42(7): 93-100. DOI: 10.3969/j.issn.1000-0984.2012.07.012. |
| [46] | 罗毅, 李昱龙. 基于熵权法和灰色关联分析法的输电网规划方案综合决策 [J]. 电网技术, 2013, 37(1): 77-81. DOI: 10.13335/j.1000-3673.pst.2013.01.017. LUO Y, LI Y L. Comprehensive decision-making of transmission network planning based on entropy weight and grey relational analysis [J]. Power system technology, 2013, 37(1): 77-81. DOI: 10.13335/j.1000-3673.pst.2013.01.017. |
| [47] | 郝如海, 智勇, 祁莹, 等. 基于熵权法的新能源高渗透率送端电网风险模糊综合评价 [J]. 电力科学与技术学报, 2021, 36(1): 73-78. DOI: 10.19781/j.issn.1673-9140.2021.01.008. HAO R H, ZHI Y, QI Y, et al. Fuzzy synthetic evaluation based on entropy method of high renewable energy penetration power grid at sending end [J]. Journal of electric power science and technology, 2021, 36(1): 73-78. DOI: 10.19781/j.issn.1673-9140.2021.01.008. |
| [48] | 马纪, 刘希喆. 基于序关系-熵权法的低压配网台区健康状态评估 [J]. 电力系统保护与控制, 2017, 45(6): 87-93. DOI: 10.7667/PSPC160430. MA J, LIU X Z. Evaluation of health status of low-voltage distribution network based on order relation-entropy weight method [J]. Power system protection and control, 2017, 45(6): 87-93. DOI: 10.7667/PSPC160430. |
| [49] | 李舟洋. 基于改进TOPSIS法的智能电网经济效能评估研究 [D]. 北京: 华北电力大学(北京), 2016. DOI: 10.7666/d.Y3114725. LI Z Y. A study on economic efficacy evaluation of smart grid based on improved TOPSIS method [D]. Beijing: North China Electric Power University (Beijing), 2016. DOI: 10.7666/d.Y3114725. |
| [50] | 孙涵, 聂飞飞, 胡雪原. 基于熵权TOPSIS法的中国区域能源安全评价及差异分析 [J]. 资源科学, 2018, 40(3): 477-485. DOI: 10.18402/resci.2018.03.02. SUN H, NIE F F, HU X Y. Evaluation and difference analysis of regional energy security in China based on entropy-weight TOPSIS modeling [J]. Resources science, 2018, 40(3): 477-485. DOI: 10.18402/resci.2018.03.02. |
| [51] | 周慧勤. 基于AHP模糊综合评判法的风电机组优化选型研究 [D]. 保定: 华北电力大学, 2013. DOI: 10.7666/d.Y2384038. ZHOU H Q. Research on wind turbine optimal selection based on analytic hierarchy process and fuzzy comprehensive evaluation [D]. Baoding: North China Electric Power University, 2013. DOI: 10.7666/d.Y2384038. |
| [52] | 郑伟. 基于主成分分析的十省(区)煤炭工业竞争力分析 [J]. 煤炭技术, 2014, 33(3): 1-3. DOI: 10.13301/j.cnki.ct.2014.03.001. ZHENG W. Analysis of coal industrial competitiveness of ten provinces(areas) based on principal component analysis [J]. Coal technology, 2014, 33(3): 1-3. DOI: 10.13301/j.cnki.ct.2014.03.001. |