[1] 李湃,黄越辉,张金平,等.多能互补发电系统电/热/氢储能容量协调优化配置[J/OL].(2023-08-31)[2023-12-15].中国电机工程学报. https://link.cnki.net/urlid/11.2107.TM.20230830.1851.007. LI P, HUANG Y H, ZHANG J P, et al. Capacity coordinated optimization of battery, thermal and hydrogen storage system for multi-energy complementary power system[J/OL].(2023-08-31)[2023-12-15]. Proceedings of the CSEE. https://link.cnki.net/urlid/11.2107.TM.20230830.1851.007. (in Chinese)
[2] 高阳,朱坤双,黄海静,等.我国电力作业安全管理体系构建及分析研究[J].武汉理工大学学报(信息与管理工程版), 2022, 44(6):894-898. GAO Y, ZHU K S, HUANG H J, et al. Research on the construction of safety management system for electric power operation in China[J]. Journal of Wuhan University of Technology (Information&Management Engineering), 2022, 44(6):894-898.(in Chinese)
[3] 许永刚,朱坤双,王立峰,等.电力作业风险智能预警设计与实现[J].数字通信世界, 2023(6):54-56. XU Y G, ZHU K S, WANG L F, et al. Design and implementation of intelligent early warning for electric power operation risk[J]. Digital Communication World, 2023(6):54-56.(in Chinese)
[4] 陈碧云,李弘斌,李滨.基于数据挖掘和CAPSO-SNN的电力作业风险态势感知[J].电力自动化设备, 2020, 40(1):148-155. CHEN B Y, LI H B, LI B. Power operation risk situation awareness based on data mining and CAPSO-SNN[J]. Electric Power Automation Equipment, 2020, 40(1):148-155.(in Chinese)
[5] 何敏,秦亮,赵峰,等.面向电力系统现场作业的安全风险管控智能检测算法[J].高电压技术, 2023, 49(6):2442-2457. HE M, QIN L, ZHAO F, et al. Intelligent detection algorithm of security risk management and control for power system on-site operation[J]. High Voltage Engineering, 2023, 49(6):2442-2457.(in Chinese)
[6] 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 L J, LI Y L, CHEN Y B, et al. Key technologies of situation awareness and implementation effectiveness evaluation in smart distribution network[J]. High Voltage Engineering, 2021, 47(7):2269-2280.(in Chinese)
[7] 马富齐,王波,董旭柱,等.电力工业安全影像解译:基本概念与技术框架[J].中国电机工程学报, 2022, 42(2):458-474. MA F Q, WANG B, DONG X Z, et al. Safety image interpretation of power industry:Basic concepts and technical framework[J]. Proceedings of the CSEE, 2022, 42(2):458-474.(in Chinese)
[8] 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 L J, LI Y L, WANG Y Q. 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.(in Chinese)
[9] WANG S X, GE L J, CAI S X, et al. Hybrid interval AHP-entropy method for electricity user evaluation in smart electricity utilization[J]. Journal of Modern Power Systems and Clean Energy, 2018, 6(4):701-711.
[10] ARMAN H, HADI-VENCHEH A, ARMAN A, et al. Revisiting the approximated weight extraction methods in fuzzy analytic hierarchy process[J]. International Journal of Intelligent Systems, 2021, 36(4):1644-1667.
[11] 程明熙.处理多目标决策问题的二项系数加权和法[J].系统工程理论与实践, 1983, 3(4):23-26. CHENG M X. Binomial coefficient weighted sum method for dealing with multi-objective decision-making problems[J]. Systems Engineering:Theory&Practice, 1983, 3(4):23-26.(in Chinese)
[12] WANG J S, DENG X C. Comprehensive economic benefit evaluation method of coastal enterprises based on AHP[J]. Journal of Coastal Research, 2020, 103(S1):24-28.
[13] LI M, WANG J L, LI Y, et al. Evaluation of sustainability information disclosure based on entropy[J]. Entropy, 2018, 20(9):689.
[14] 王依宁,解大,王西田,等.基于PCA-LSTM模型的风电机网相互作用预测[J].中国电机工程学报, 2019, 39(14):4070-4080. WANG Y N, XIE D, WANG X T, et al. Prediction of interaction between grid and wind farms based on PCA-LSTM model[J]. Proceedings of the CSEE, 2019, 39(14):4070-4080.(in Chinese)
[15] GE L J, LI Y L, LI S X, et al. Evaluation of the situational awareness effects for smart distribution networks under the novel design of indicator framework and hybrid weighting method[J]. Frontiers in Energy, 2021, 15(1):143-158.
[16] 张华一,文福拴,张璨,等.基于前景理论的电网建设项目组合多属性决策方法[J].电力系统自动化, 2016, 40(14):8-14. ZHANG H Y, WEN F S, ZHANG C, et al. Prospect theory based multiple-attribute decision-making method for determining portfolio of construction projects in power systems[J]. Automation of Electric Power Systems, 2016, 40(14):8-14.(in Chinese)
[17] 张宏博,陈伟炯,闫明.多式联运路径优化模型中的贝叶斯极大熵权重自学习方法研究[J].计算机应用与软件, 2018, 35(10):28-32, 44. ZHANG H B, CHEN W J, YAN M. The Bayesian maximun entropy weight self-learning method in the multimodal transport path optimization model[J]. Computer Applications and Software, 2018, 35(10):28-32, 44.(in Chinese)
[18] GE L J, LI Y L, ZHU X S, et al. An evaluation system for HVDC protection systems by a novel indicator framework and a self-learning combination method[J]. IEEE Access, 2020, 8:152053-152070.
[19] WANG Y Q, GE L J, ZHANG N. Hybrid evaluation method for dispatching control level of smart distribution network[J]. Journal of Electrical Engineering&Technology, 2019, 14(6):2263-2275.
[20] 阿辽沙·叶,祝恩国,成倩,等.用电设备安全评估的改进区间层次分析法[J].电力系统及其自动化学报, 2015, 27(1):32-36. ALIAOSHA Y, ZHU E G, CHENG Q, et al. Improved interval analytic hierarchy process method for electrical equipment safety assessment[J]. Proceedings of the CSU-EPSA, 2015, 27(1):32-36.(in Chinese)
[21] YADAV D. Blood coagulation algorithm:A novel bio-inspired meta-heuristic algorithm for global optimization[J]. Mathematics, 2021, 9(23):3011.
[22] 许德刚,王再庆,郭奕欣,等.鲸鱼优化算法研究综述[J].计算机应用研究, 2023, 40(2):328-336. XU D G, WANG Z Q, GUO Y X, et al. Review of whale optimization algorithm[J]. Application Research of Computers, 2023, 40(2):328-336.(in Chinese)