[1] 李政, 陈思源, 董文娟, 等. 碳约束条件下电力行业低碳转型路径研究 [J]. 中国电机工程学报, 2021, 41(12): 3987-4000. DOI:  10.13334/j.0258-8013.pcsee.210671.

LI Z, CHEN S Y, DONG W J, et al. Low carbon transition pathway of power sector under carbon emission constraints [J]. Proceedings of the CSEE, 2021, 41(12): 3987-4000. DOI:  10.13334/j.0258-8013.pcsee.210671.
[2] 张尧翔, 刘文颖, 庞清仑, 等. 计及综合需求响应参与消纳受阻新能源的多时间尺度优化调度策略 [J]. 电力建设, 2023, 44(1): 1-11. DOI:  10.12204/j.issn.1000-7229.2023.01.001.

ZHANG Y X, LIU W Y, PANG Q L, et al. Multi-timescale trading strategies for the participation of multi-energy demand response in the consumption of blocked new energy sources [J]. Electric power construction, 2023, 44(1): 1-11. DOI:  10.12204/j.issn.1000-7229.2023.01.001.
[3] 黎静华, 朱梦姝, 陆悦江, 等. 综合能源系统优化调度综述 [J]. 电网技术, 2021, 45(6): 2256-2269. DOI:  10.13335/j.1000-3673.pst.2021.0020.

LI J H, ZHU M S, LU Y J, et al. Review on optimal scheduling of integrated energy systems [J]. Power system technology, 2021, 45(6): 2256-2269. DOI:  10.13335/j.1000-3673.pst.2021.0020.
[4] 苏步芸, 王诗超. 新型电力系统背景下新能源送出合理消纳率研究 [J]. 南方能源建设, 2023, 10(6): 43-50. DOI:  10.16516/j.gedi.issn2095-8676.2023.06.005.

SU B Y, WANG S C. Research on reasonable consumption rate of new energy transmission under the new power system [J]. Southern energy construction, 2023, 10(6): 43-50. DOI:  10.16516/j.gedi.issn2095-8676.2023.06.005.
[5] 曹韵, 韩松, 荣娜, 等. 基于GCTMSA的梯级水火风光蓄储联合调度 [J]. 电力系统保护与控制, 2023, 51(3): 108-116. DOI:  10.19783/j.cnki.pspc.220475.

CAO Y, HAN S, RONG N, et al. Dispatch of a cascade hydro-thermal-wind-photovoltaic-storage complementary system based on GCTMSA [J]. Power system protection and control, 2023, 51(3): 108-116. DOI:  10.19783/j.cnki.pspc.220475.
[6] SONG Q, RONG N, HAN S, et al. Decarbonization pathways of China's provincial energy systems under carbon constraints: a case study of Guizhou province [J]. Energy reports, 2022, 8: 9363-9378. DOI:  10.1016/j.egyr.2022.07.045.
[7] 章雪萌, 孟祥娟, 毛福斌, 等. 考虑多时间尺度的新能源特性对地区电网的影响评估 [J]. 南方能源建设, 2023, 10(5): 166-173. DOI:  10.16516/j.gedi.issn2095-8676.2023.05.020.

ZHANG X M, MENG X J, MAO F B, et al. Impact assessment of new energy characteristics on regional power grid considering multiple time scales [J]. Southern energy construction, 2023, 10(5): 166-173. DOI:  10.16516/j.gedi.issn2095-8676.2023.05.020.
[8] 葛磊蛟,李京京,李昌禄,等. 面向零碳园区的综合能源系统优化运行技术综述 [J]. 电网技术, 2024, 48(5): 1821-1835. DOI:  10.13335/j.1000-3673.pst.2023.0993.

GE L J, LI J J, LI C L, et al. Overview of integrated energy system optimization operation technology for zero carbon parks [J]. Power system technology, 2024, 48(5): 1821-1835. DOI:  10.13335/j.1000-3673.pst.2023.0993.
[9] 陈锦涛, 杨苹, 陈滢, 等. 基于综合需求侧响应策略的园区多能源系统优化运行 [J]. 可再生能源, 2021, 39(2): 222-228. DOI:  10.13941/j.cnki.21-1469/tk.2021.02.013.

CHEN J T, YANG P, CHEN Y, et al. Optimized operation of multi-energy system in the industrial park based on integrated demand response strategy [J]. Renewable energy resources, 2021, 39(2): 222-228. DOI: 10.13941/j.cnki.21-1469/tk.2021.2.013. DOI:  10.13941/j.cnki.21-1469/tk.2021.02.013.
[10] 李永毅, 王子晗, 张磊, 等. 风-光-氢-燃气轮机一体化氢电耦合系统容量配置优化 [J/OL]. 中国电机工程学报, 1-13. (2023-12-28) [2024-07-29]. https://doi.org/10.13334/j.0258-8013.pcsee.232133.

LI Y Y, WANG Z H, ZHANG L, et al. Capacity allocation optimization of integrated hydrogen-electric system of wind-solar-hydrogen-gas turbine [J/OL]. Proceedings of the CSEE, 1-13. (2023-12-28) [2024-07-29]. https://doi.org/10.13334/j.0258-8013.pcsee.232133.
[11] 李奇, 霍莎莎, 蒲雨辰, 等. 面向含氢综合能源系统的电-碳-氢耦合交易市场研究综述 [J]. 电力自动化设备, 2023, 43(12): 175-187. DOI:  10.16081/j.epae.202310006.

LI Q, HUO S S, PU Y C, et al. Review on electricity-carbon-hydrogen coupling trading market for integrated energy system with hydrogen [J]. Electric power automation equipment, 2023, 43(12): 175-187. DOI:  10.16081/j.epae.202310006.
[12] 赵蕊, 谭忠富, 德格吉日夫, 等. 计及需求响应的微电网“源-储-荷”两级协调运行优化模型 [J]. 可再生能源, 2019, 37(11): 1630-1636. DOI:  10.13941/j.cnki.21-1469/tk.2019.11.008.

ZHAO R, TAN Z F, DEGEJIRIFU, et al. Two-level coordinated operation optimization model of the source-storage-load in microgrid considering demand response [J]. Renewable energy resources, 2019, 37(11): 1630-1636. DOI:  10.13941/j.cnki.21-1469/tk.2019.11.008.
[13] 陈锦鹏, 胡志坚, 陈颖光, 等. 考虑阶梯式碳交易机制与电制氢的综合能源系统热电优化 [J]. 电力自动化设备, 2021, 41(9): 48-55. DOI:  10.16081/j.epae.202109032.

CHEN J P, HU Z J, CHEN Y G, et al. Thermoelectric optimization of integrated energy system considering ladder-type carbon trading mechanism and electric hydrogen production [J]. Electric power automation equipment, 2021, 41(9): 48-55. DOI:  10.16081/j.epae.202109032.
[14] WU X, QI S X, WANG Z, et al. Optimal scheduling for microgrids with hydrogen fueling stations considering uncertainty using data-driven approach [J]. Applied energy, 2019, 253: 113568. DOI:  10.1016/j.apenergy.2019.113568.
[15] LUIZ JUNHO PEREIRA J, OLIVER G A, BRENDON FRANCISCO M, et al. Multi-objective lichtenberg algorithm: a hybrid physics-based meta-heuristic for solving engineering problems [J]. Expert systems with applications, 2022, 187: 115939. DOI:  10.1016/j.eswa.2021.115939.
[16] 李泽霜, 唐忠, 程卓, 等. 基于改进麻雀搜索算法的电-热-气-氢综合能源系统优化 [J/OL]. 现代电力, 2023: 1-11. (2023-10-17) [2024-07-19]. https://doi.org/10.19725/j.cnki.1007-2322.2022.0351.

LI Z S, TANG Z, CHENG Z, et al. Optimization of electric-heat-gas-hydrogen integrated energy system based on improved sparrow search algorithm [J/OL]. Modern electric power, 2023: 1-11. (2023-10-17) [2024-07-19]. https://doi.org/10.19725/j.cnki.1007-2322.2022.0351.
[17] 关红伟, 刘丽娟, 白牧可, 等. 多主体博弈下基于改进灰狼算法的综合能源服务商优化运行策略 [J]. 电力系统及其自动化学报, 2024, 36(7): 78-85. DOI:  10.19635/j.cnki.csu-epsa.001343.

GUAN H W, LIU L J, BAI M K, et al. Optimized operation strategy for integrated energy service provider based on improved grey wolf optimization algorithm in multi-agent game [J]. Proceedings of the CSU-EPSA, 2024, 36(7): 78-85. DOI:  10.19635/j.cnki.csu-epsa.001343.
[18] 张政林, 张惠娟, 孙文治, 等. 基于改进旗鱼算法的综合能源系统能量管理 [J]. 电力系统保护与控制, 2022, 50(22): 142-151. DOI:  10.19783/j.cnki.pspc.220006.

ZHANG Z L, ZHANG H J, SUN W Z, et al. Energy management of an integrated energy system based on an improved sailed fish optimizer algorithm [J]. Power system protection and control, 2022, 50(22): 142-151. DOI:  10.19783/j.cnki.pspc.220006.
[19] 韩永明, 王新鲁, 耿志强, 等. 基于AMOWOA的区域综合能源系统运行优化调度 [J]. 自动化学报, 2024, 50(3): 576-588. DOI:  10.16383/j.aas.c211146.

HAN Y M, WANG X L, GENG Z Q, et al. Optimal scheduling for regional integrated energy system operation based on the AMOWOA [J]. Acta automatica sinica, 2024, 50(3): 576-588. DOI: 10.16383/j.aas.com211146. DOI:  10.16383/j.aas.c211146.
[20] 朱宏毅, 杨昌海, 沈渭程, 等. 基于改进免疫蚁群算法的风光水火蓄多源互补优化调度 [J]. 电网与清洁能源, 2023, 39(10): 129-136. DOI:  10.3969/j.issn.1674-3814.2023.10.016.

ZHU H Y, YANG C H, SHEN W C, et al. A study on the multi-source complementary optimized scheduling of wind-photovoltaic-hydro-thermal-pumped based on improved immune ant colony algorithm [J]. Power system and clean energy, 2023, 39(10): 129-136. DOI:  10.3969/j.issn.1674-3814.2023.10.016.
[21] 崔杨, 闫石, 仲悟之, 等. 含电转气的区域综合能源系统热电优化调度 [J]. 电网技术, 2020, 44(11): 4254-4263. DOI:  10.13335/j.1000-3673.pst.2019.2468.

CUI Y, YAN S, ZHONG W Z, et al. Optimal thermoelectric dispatching of regional integrated energy system with power-to-gas [J]. Power system technology, 2020, 44(11): 4254-4263. DOI:  10.13335/j.1000-3673.pst.2019.2468.
[22] 李立新, 刘星雨, 曾过房, 等. SGT-800重型燃气轮机天然气掺氢燃烧数值模拟研究 [J]. 热力发电, 2023, 52(12): 70-78. DOI:  10.19666/j.rlfd.202303033.

LI L X, LIU X Y, ZENG G F, et al. Numerical modeling of natural gas combustion with hydrogen blending in SGT-800 heavy-duty gas turbine [J]. Thermal power generation, 2023, 52(12): 70-78. DOI:  10.19666/j.rlfd.202303033.
[23] NAZARI-HERIS M, MOHAMMADI-IVATLOO B, ASADI S, et al. Large-scale combined heat and power economic dispatch using a novel multi-player harmony search method [J]. Applied thermal engineering, 2019, 154: 493-504. DOI:  10.1016/j.applthermaleng.2019.03.095.
[24] 李小龙, 洪小飞, 陈宇卿. 燃气轮机掺氢燃烧技术 [J]. 南方能源建设, 2023, 10(6): 14-25. DOI:  10.16516/j.gedi.issn2095-8676.2023.06.002.

LI X L, HONG X F, CHEN Y Q. Hydrogen-blended combustion technology in gas turbine [J]. Southern energy construction, 2023, 10(6): 14-25. DOI:  10.16516/j.gedi.issn2095-8676.2023.06.002.
[25] 朱兰, 王吉, 唐陇军, 等. 计及电转气精细化模型的综合能源系统鲁棒随机优化调度 [J]. 电网技术, 2019, 43(1): 116-126. DOI:  10.13335/j.1000-3673.pst.2018.1895.

ZHU L, WANG J, TANG L J, et al. Robust stochastic optimal dispatching of integrated energy systems considering refined power-to-gas model [J]. Power system technology, 2019, 43(1): 116-126. DOI:  10.13335/j.1000-3673.pst.2018.1895.
[26] 刘晓军, 聂凡杰, 杨冬锋, 等. 碳捕集电厂-电转气联合运行模式下考虑绿证-碳交易机制的综合能源系统低碳经济调度 [J]. 电网技术, 2023, 47(6): 2207-2217. DOI:  10.13335/j.1000-3673.pst.2022.1507.

LIU X J, NIE F J, YANG D F, et al. Low carbon economic dispatch of integrated energy systems considering green certificates-carbon trading mechanism under CCPP-P2G joint operation model [J]. Power system technology, 2023, 47(6): 2207-2217. DOI:  10.13335/j.1000-3673.pst.2022.1507.
[27] 郭宬昊, 谢子硕, 王金星, 等. 新能源系统中双储能耦合燃煤机组的应用策略研究 [J]. 南方能源建设, 2022, 9(3): 62-71. DOI:  10.16516/j.gedi.issn2095-8676.2022.03.007.

GUO C H, XIE Z S, WANG J X, et al. Research on operation strategy of the application of dual energy storage coupled with coal-fired units in new energy power system [J]. Southern energy construction, 2022, 9(3): 62-71. DOI:  10.16516/j.gedi.issn2095-8676.2022.03.007.
[28] ADEFARATI T, BANSAL R C, BETTAYEB M, et al. Optimal energy management of a PV-WTG-BSS-DG microgrid system [J]. Energy, 2021, 217: 119358. DOI:  10.1016/j.energy.2020.119358.
[29] 崔杨, 谷春池, 付小标, 等. 考虑广义电热需求响应的含碳捕集电厂综合能源系统低碳经济调度 [J]. 中国电机工程学报, 2022, 42(23): 8431-8445. DOI:  10.13334/j.0258-8013.pcsee.211942.

CUI Y, GU C C, FU X B, et al. Low-carbon economic dispatch of integrated energy system with carbon capture power plants considering generalized electric heating demand response [J]. Proceedings of the CSEE, 2022, 42(23): 8431-8445. DOI:  10.13334/j.0258-8013.pcsee.211942.
[30] LUCAS A, NETO R C, SILVA C A. Energy supply infrastructure LCA model for electric and hydrogen transportation systems [J]. Energy, 2013, 56: 70-80. DOI:  10.1016/j.energy.2013.04.056.
[31] BOUAOUDA A, HASHIM F A, SAYOUTI Y, et al. Pied kingfisher optimizer: a new bio-inspired algorithm for solving numerical optimization and industrial engineering problems [J]. Neural computing and applications, 2024, 36(25): 15455-15513. DOI:  10.1007/s00521-024-09879-5.