[1] 余潇潇, 宋福龙, 周原冰, 等. “新基建”对中国“十四五”电力需求和电网规划的影响分析[J]. 中国电力, 2021, 54(7): 11–17 YU Xiaoxiao, SONG Fulong, ZHOU Yuanbing, et al. Investigations on the impact of new infrastructure on electricity forecast and power system planning during the 14 th five-year plan period[J]. Electric Power, 2021, 54(7): 11–17 [2] 2021年前三季度工业和信息化发展情况新闻发布会[EB/OL]. (2021-10-19) [2021-11-05]. https://www.miit.gov.cn/gzcy/zbft/art/2021/art_84 ec13 c562 a249 c7 a8 eec3173 eb06680.html. [3] 张宁, 杨经纬, 王毅, 等. 面向泛在电力物联网的5 G通信: 技术原理与典型应用[J]. 中国电机工程学报, 2019, 39(14): 4015–4025 ZHANG Ning, YANG Jingwei, WANG Yi, et al. 5 G communication for the ubiquitous Internet of Things in electricity: technical principles and typical applications[J]. Proceedings of the CSEE, 2019, 39(14): 4015–4025 [4] 王毅, 陈启鑫, 张宁, 等. 5 G通信与泛在电力物联网的融合: 应用分析与研究展望[J]. 电网技术, 2019, 43(5): 1575–1585 WANG Yi, CHEN Qixin, ZHANG Ning, et al. Fusion of the 5 G communication and the ubiquitous electric Internet of Things: application analysis and research prospects[J]. Power System Technology, 2019, 43(5): 1575–1585 [5] 韦良才. 5 G基站功耗的影响因素及应对策略[J]. 通信电源技术, 2020, 37(5): 214–215 WEI Liangcai. On the influencing factors of 5 G base station power consumption and countermeasures[J]. Telecom Power Technology, 2020, 37(5): 214–215 [6] ISRAR A, YANG Q, LI W, et al. Renewable energy powered sustainable 5 G network infrastructure: opportunities, challenges and perspectives[J]. Journal of Network and Computer Applications, 2021, 175: 102910. [7] 雍培, 张宁, 慈松, 等. 5 G通信基站参与需求响应: 关键技术与前景展望[J]. 中国电机工程学报, 2021, 41(16): 5540–5552 YONG Pei, ZHANG Ning, CI Song, et al. 5 G communication base stations participating in demand response: key technologies and prospects[J]. Proceedings of the CSEE, 2021, 41(16): 5540–5552 [8] 贾骏, 郭慧娟, 李杰强. 5 G基站供电系统需求及供电技术探讨[J]. 通信电源技术, 2019, 36(4): 163–165 JIA Jun, GUO Huijuan, LI Jieqiang. Discussion on power supply system demand and power supply technology of 5 G base station[J]. Telecom Power Technology, 2019, 36(4): 163–165 [9] 周宸宇, 冯成, 王毅. 基于移动用户接入控制的5 G通信基站需求响应[J]. 中国电机工程学报, 2021, 41(16): 5452–5462 ZHOU Chenyu, FENG Cheng, WANG Yi. Demand response of 5 G communication base stations based on admission control of mobile users[J]. Proceedings of the CSEE, 2021, 41(16): 5452–5462 [10] XU J, DUAN L J, ZHANG R. Energy group buying with loading sharing for green cellular networks[J]. IEEE Journal on Selected Areas in Communications, 2016, 34(4): 786–799. [11] XU J, DUAN L J, ZHANG R. Cost-aware green cellular networks with energy and communication cooperation[J]. IEEE Communications Magazine, 2015, 53(5): 257–263. [12] 毛翊君, 陆敏, 陈国军. 利用软关断功能的5 G智能节能方法的研究与应用[J]. 通信世界, 2020(26): 32–34 MAO Yijun, LU Min, CHEN Guojun. Research and application of 5 G smart energy-saving methods using soft shutdown[J]. Communications World, 2020(26): 32–34 [13] AL HAJ HASSAN H, PELOV A, NUAYMI L. Integrating cellular networks, smart grid, and renewable energy: analysis, architecture, and challenges[J]. IEEE Access, 2015, 3: 2755–2770. [14] 刘友波, 王晴, 曾琦, 等. 能源互联网背景下5 G网络能耗管控关键技术及展望[J]. 电力系统自动化, 2021, 45(12): 174–183 LIU Youbo, WANG Qing, ZENG Qi, et al. Key technologies and prospects of energy consumption management for 5 G network in background of energy Internet[J]. Automation of Electric Power Systems, 2021, 45(12): 174–183 [15] 毕瑞琪. 5 G蜂窝异构网络控制平面优化研究[D]. 北京: 北京工业大学, 2018. BI Ruiqi. Research on control plane optimization of 5 G cellular heterogeneous network[D]. Beijing: Beijing University of Technology, 2018. [16] 张传福, 赵燕, 于新雁, 等. 5 G移动通信网络规划与设计[M]. 北京: 人民邮电出版社, 2020: 98-150. [17] AL HAJ HASSAN H, RENGA D, MEO M, et al. A novel energy model for renewable energy-enabled cellular networks providing ancillary services to the smart grid[J]. IEEE Transactions on Green Communications and Networking, 2019, 3(2): 381–396. [18] RENGA D, AL HAJ HASSAN H, MEO M, et al. Energy management and base station on/off switching in green mobile networks for offering ancillary services[J]. IEEE Transactions on Green Communications and Networking, 2018, 2(3): 868–880. [19] 陈景文, 肖妍, 莫瑞瑞, 等. 考虑光伏校正的微电网储能容量优化配置[J]. 电力系统保护与控制, 2021, 49(10): 59–66 CHEN Jingwen, XIAO Yan, MO Ruirui, et al. Optimized allocation of microgrid energy storage capacity considering photovoltaic correction[J]. Power System Protection and Control, 2021, 49(10): 59–66 [20] 李景丽, 时永凯, 张琳娟, 等. 考虑电动汽车有序充电的光储充电站储能容量优化策略[J]. 电力系统保护与控制, 2021, 49(7): 94–102 LI Jingli, SHI Yongkai, ZHANG Linjuan, et al. Optimization strategy for the energy storage capacity of a charging station with photovoltaic and energy storage considering orderly charging of electric vehicles[J]. Power System Protection and Control, 2021, 49(7): 94–102 [21] 刘自发, 张伟, 王泽黎. 基于量子粒子群优化算法的城市电动汽车充电站优化布局[J]. 中国电机工程学报, 2012, 32(22): 39–45,20 LIU Zifa, ZHANG Wei, WANG Zeli. Optimal planning of charging station for electric vehicle based on quantum PSO algorithm[J]. Proceedings of the CSEE, 2012, 32(22): 39–45,20 [22] VAN DEN BERGH F, ENGELBRECHT A P. A study of particle swarm optimization particle trajectories[J]. Information Sciences, 2006, 176(8): 937–971. [23] SUN J, XU W B, FENG B. A global search strategy of quantum-behaved particle swarm optimization[C]//IEEE Conference on Cybernetics and Intelligent Systems, 2004. Singapore. IEEE, 2004: 111–116. [24] 陈道君, 龚庆武, 金朝意, 等. 基于自适应扰动量子粒子群算法参数优化的支持向量回归机短期风电功率预测[J]. 电网技术, 2013, 37(4): 974–980 CHEN Daojun, GONG Qingwu, JIN Zhaoyi, et al. Short-term wind power prediction based on support vector regression machine optimized by adaptive disturbance quantum-behaved particle swarm optimization[J]. Power System Technology, 2013, 37(4): 974–980 [25] 徐永干, 冉恒, 苟鑫, 等. 基于广义S变换和QPSO-SVM的水电机组振动故障诊断方法[J]. 智慧电力, 2020, 48(2): 38–44,84 XU Yonggan, RAN Heng, GOU Xin, et al. Vibration fault diagnosis for hydroelectric generating unit based on generalized S transform and QPSO-SVM[J]. Smart Power, 2020, 48(2): 38–44,84 [26] 曲正伟, 王京波, 张坤, 等. 考虑不确定性成本的含风电场群电力系统短期优化调度[J]. 电力自动化设备, 2016, 36(4): 137–144 QU Zhengwei, WANG Jingbo, ZHANG Kun, et al. Short-term optimal dispatch considering uncertainty cost for power system with wind farms[J]. Electric Power Automation Equipment, 2016, 36(4): 137–144 [27] SHENG M, ZHAI D S, WANG X J, et al. Intelligent energy and traffic coordination for green cellular networks with hybrid energy supply[J]. IEEE Transactions on Vehicular Technology, 2017, 66(2): 1631–1646.
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