[1] |
吕祥梅, 刘天琪, 刘绚, 等. 考虑高比例新能源消纳的多能源园区日前低碳经济调度[J]. 上海交通大学学报, 2021, 55(12): 1586-1597.
|
|
LÜ Xiangmei, LIU Tianqi, LIU Xuan, et al. Low-carbon economic dispatch of multi-energy park considering high proportion of renewable energy[J]. Journal of Shanghai Jiao Tong University, 2021, 55(12): 1586-1597.
|
[2] |
康丽虹, 贾燕冰, 田丰, 等. 含LNG冷能利用的综合能源系统低碳经济调度[J]. 高电压技术, 2022, 48(2): 575-584.
|
|
KANG Lihong, JIA Yanbing, TIAN Feng, et al. Low-carbon economic dispatch of integrated energy system containing LNG cold energy utilization[J]. High Voltage Engineering, 2022, 48(2): 575-584.
|
[3] |
熊宇峰, 陈来军, 郑天文, 等. 考虑电热气耦合特性的低碳园区综合能源系统氢储能优化配置[J]. 电力自动化设备, 2021, 41(9): 31-38.
|
|
XIONG Yufeng, CHEN Laijun, ZHENG Tianwen, et al. Optimal configuration of hydrogen energy storage in low-carbon park integrated energy system considering electricity-heat-gas coupling characteristics[J]. Electric Power Automation Equipment, 2021, 41(9): 31-38.
|
[4] |
郭创新, 王惠如, 张伊宁, 等. 面向区域能源互联网的“源-网-荷”协同规划综述[J]. 电网技术, 2019, 43(9): 3071-3080.
|
|
GUO Chuangxin, WANG Huiru, ZHANG Yining, et al. Review of “source-grid-load” co-planning orienting to regional energy internet[J]. Power System Technology, 2019, 43(9): 3071-3080.
|
[5] |
黄伟, 刘文彬. 基于多能互补的园区综合能源站-网协同优化规划[J]. 电力系统自动化, 2020, 44(23): 20-28.
|
|
HUANG Wei, LIU Wenbin. Multi-energy complementary based coordinated optimal planning of park integrated energy station-network[J]. Automation of Electric Power Systems, 2020, 44(23): 20-28.
|
[6] |
徐岩, 张建浩, 张荟. 含冷、热、电、气的园区综合能源系统选址定容规划案例分析[J]. 太阳能学报, 2022, 43(1): 313-322.
|
|
XU Yan, ZHANG Jianhao, ZHANG Hui. Case analysis on site-selection capacity-determination planning of park integrated energy system with cold, hot, electricity and gas[J]. Acta Energiae Solaris Sinica, 2022, 43(1): 313-322.
|
[7] |
周步祥, 夏海东, 臧天磊. 考虑能量梯级利用的园区综合能源系统站网协同规划[J]. 电力自动化设备, 2022, 42(1): 20-27.
|
|
ZHOU Buxiang, XIA Haidong, ZANG Tianlei. Station and network coordinated planning of park integrated energy system considering energy cascade utilization[J]. Electric Power Automation Equipment, 2022, 42(1): 20-27.
|
[8] |
陈志, 胡志坚, 翁菖宏, 等. 基于阶梯碳交易机制的园区综合能源系统多阶段规划[J]. 电力自动化设备, 2021, 41(9): 148-155.
|
|
CHEN Zhi, HU Zhijian, WENG Changhong, et al. Multi-stage planning of park-level integrated energy system based on ladder-type carbon trading mechanism[J]. Electric Power Automation Equipment, 2021, 41(9): 148-155.
|
[9] |
杨锡运, 张璜, 修晓青, 等. 基于商业园区源/储/荷协同运行的储能系统多目标优化配置[J]. 电网技术, 2017, 41(12): 3996-4003.
|
|
YANG Xiyun, ZHANG Huang, XIU Xiaoqing, et al. Multi-objective optimal configuration of energy storage systems based on coordinated operation of source/storage/load in commercial park[J]. Power System Technology, 2017, 41(12): 3996-4003.
|
[10] |
林晓明, 张勇军, 陈伯达, 等. 计及多评价指标的园区能源互联网双层优化配置[J]. 电力系统自动化, 2019, 43(20): 8-15.
|
|
LIN Xiaoming, ZHANG Yongjun, CHEN Boda, et al. Bi-level optimal configuration of park energy Internet considering multiple evaluation indicators[J]. Automation of Electric Power Systems, 2019, 43(20): 8-15.
|
[11] |
田书欣, 李昆鹏, 魏书荣, 等. 基于同步相量测量装置的配电网安全态势感知方法[J]. 中国电机工程学报, 2021, 41(2): 617-632.
|
|
TIAN Shuxin, LI Kunpeng, WEI Shurong, et al. Security situation awareness approach for distribution network based on synchronous phasor measurement unit[J]. Proceedings of the CSEE, 2021, 41(2): 617-632.
|
[12] |
葛磊蛟, 李元良, 陈艳波, 等. 智能配电网态势感知关键技术及实施效果评价[J]. 高电压技术, 2021, 47(7): 2269-2280.
|
|
GE Leijiao, LI Yuanliang, CHEN Yanbo, et al. Key technologies of situation awareness and implementation effectiveness evaluation in smart distribution network[J]. High Voltage Engineering, 2021, 47(7): 2269-2280.
|
[13] |
葛磊蛟, 李元良, 汪宇倩. 智能配电网态势感知实现效果综合评估模型[J]. 天津大学学报(自然科学与工程技术版), 2020, 53(11): 1101-1111.
|
|
GE Leijiao, LI Yuanliang, WANG Yuqian. Comprehensive evaluation model for situational awareness effects of a smart distribution network[J]. Journal of Tianjin University (Science and Technology), 2020, 53(11): 1101-1111.
|
[14] |
刘嘉恒, 张明, 葛磊蛟, 等. 基于改进郊狼优化算法的光伏智能边缘终端优化配置方法[J]. 电工技术学报, 2021, 36(7): 1368-1379.
|
|
LIU Jiaheng, ZHANG Ming, GE Leijiao, et al. Optimal configuration method of photovoltaic intelligent edge terminal based on improved coyote optimization algorithm[J]. Transactions of China Electrotechnical Society, 2021, 36(7): 1368-1379.
|
[15] |
姜小涛, 方磊, 牛睿, 等. 基于变异反向学习郊狼优化算法的光伏智能边缘终端优化配置方法[J]. 电力建设, 2021, 42(3): 45-53.
doi: 10.12204/j.issn.1000-7229.2021.03.006
|
|
JIANG Xiaotao, FANG Lei, NIU Rui, et al. Application of coyote optimization algorithm based on mutation and opposition-based learning in optimal configuration of photovoltaic intelligent edge terminal[J]. Electric Power Construction, 2021, 42(3): 45-53.
doi: 10.12204/j.issn.1000-7229.2021.03.006
|
[16] |
余建树, 李朝霞, 龚雪娇, 等. 基于并行粒子群算法的电力系统分区抗差状态估计[J]. 电网技术, 2022, 46(8):3139-3149.
|
|
YU Jianshu, LI Chaoxia, GONG Xuejiao, et al. Robust state estimation of power system based on parallel particle swarm optimization and partition calculation[J]. Power System Technology, 2022, 46 (8): 3139-3149.
|
[17] |
孙志达, 杨涛, 吴栋萁, 等. 基于多源信息和遗传算法的配电网故障定位模型[J]. 智慧电力, 2021, 49(12):104-110.
|
|
SUN Zhida, YANG Tao, WU Dongqi, et al. Fault location model for distribution networks based on multi-source information and genetic algorithm[J]. Smart Power, 2021, 49(12):104-110.
|
[18] |
白钰, 彭珍瑞. 基于自适应惯性权重的樽海鞘群算法[J]. 控制与决策, 2022, 37(1): 237-246.
|
|
BAI Yu, PENG Zhenrui. Salp swarm algorithm based on adaptive inertia weight[J]. Control and Decision, 2022, 37(1): 237-246.
|
[19] |
赵超, 王斌, 孙志新, 等. 基于改进灰狼算法的独立微电网容量优化配置[J]. 太阳能学报, 2022, 43(1): 256-262.
|
|
ZHAO Chao, WANG Bin, SUN Zhixin, et al. Optimal configuration optimization of islanded microgrid using improved grey wolf optimizer algorithm[J]. Acta Energiae Solaris Sinica, 2022, 43(1): 256-262.
|
[20] |
刘三阳, 靳安钊. 求解约束优化问题的协同进化教与学优化算法[J]. 自动化学报, 2018, 44(9): 1690-1697.
|
|
LIU Sanyang, JIN Anzhao. A co-evolutionary teaching-learning-based optimization algorithm for constrained optimization problems[J]. Acta Automatica Sinica, 2018, 44(9): 1690-1697.
|