Page 50 - 《中国电力》2026年第4期
P. 50
2026 年 第 59 卷
optimization scheduling method for hydro-wind-PV multi energy 58–69.
complementary systems considering multi uncertainties[J]. Yangtze LIU Wenli, ZHANG Tao, YANG Xiaolei, et al. Multi-objective
River, 2024, 55(9): 26–34. optimal allocation of TCSC for a power system for wind power and
[19] 李康平, 张展耀, 王飞, 等. 基于 GAN 场景模拟与条件风险价值的 load randomness[J]. Power System Protection and Control, 2023,
独立型微网容量随机优化配置模型 [J]. 电网技术, 2019, 43(5): 51(5): 58–69.
1717–1725. [27] JAMSHIDI S, POURHOSSEIN K, ASADI M. Size estimation of
LI Kangping, ZHANG Zhanyao, WANG Fei, et al. Stochastic wind/solar hybrid renewable energy systems without detailed wind
optimization model of capacity configuration for stand-alone and irradiation data: A feasibility study[J]. Energy Conversion and
microgrid based on scenario simulation using GAN and conditional Management, 2021, 234: 113905.
value at risk[J]. Power System Technology, 2019, 43(5): 1717–1725. [28] 万灿, 宋永华. 新能源电力系统概率预测理论与方法及其应用 [J].
[20] 张大海, 孙锴, 史一茹, 等. 考虑灵活资源及模数驱动方法的电力系 电力系统自动化, 2021, 45(1): 2–16.
统调度方法综述 [J]. 高电压技术, 2024, 50(1): 42–54. WAN Can, SONG Yonghua. Theories methodologies and
ZHANG Dahai, SUN Kai, SHI Yiru, et al. Overview of power applications of probabilistic forecasting for power systems with
system dispatching methods considering flexible resources and renewable energy sources[J]. Automation of Electric Power Systems,
model-data driven[J]. High Voltage Engineering, 2024, 50(1): 42–54. 2021, 45(1): 2–16.
[21] GHOFRANI M, ARABALI A, ETEZADI-AMOLI M, et al. Smart [29] 姚黎明, 尹响, 孟致毅. 西南地区夏季“弃水弃电”问题突出需多
scheduling and cost-benefit analysis of grid-enabled electric vehicles 措并举促进丰水期水电能源消纳 [J]. 中国发展, 2022, 22(3):
for wind power integration[J]. IEEE Transactions on Smart Grid, 93–94.
2014, 5(5): 2306–2313. YAO Liming, YIN Xiang, MENG Zhiyi. The prominent issue of
[22] CARIONI M, IGLESIAS A J, WALTER D. Extremal Points and "water and electricity curtailment" in southwestern China during
Sparse Optimization for Generalized Kantorovich-Rubinstein summer requires comprehensive measures to promote hydropower
Norms[J]. Foundations of Computational Mathematics, 2023(1): consumption in the wet season[J]. China Development, 2022, 22(3):
1–42. 93–94.
[23] LI J H, SAI W, LIU H, et al. An optimal reduction method for [30] 刘泽洪, 周原冰, 李隽, 等. 西南跨流域水风光协同开发研究 [J]. 全
generating time series scenarios of wind power[C]//Proceedings of 球能源互联网, 2023, 6(3): 225–237.
2017 IEEE Power & Energy Society General Meeting. Chicago, LIU Zehong, ZHOU Yuanbing, LI Jun, et al. Trans-basin
USA: IEEE, 2017: 1–5. complementary planning of hydro-wind-photovoltaic systems in
[24] TIAN Y Y, CHANG J X, WANG Y M, et al. A long-term scheduling Southwest China[J]. Journal of Global Energy Interconnection, 2023,
method for cascade hydro-wind-PV complementary systems 6(3): 225–237.
considering comprehensive utilization requirements and load
作者简介:
characteristics[J]. Journal of Cleaner Production, 2025, 494: 145032.
崔一宸(2003),女,通信作
[25] 陈锐智, 李析鸿, 陈思羽, 等. 基于 EPSILON 约束法的配电自动化
者,硕士研究生,从事水风光多能互补
设备多目标优化布点模型 [J]. 电力系统保护与控制, 2021, 49(24):
优化调度研究,E-mail:cyc01072022@
51–58.
163.com;
CHEN Ruizhi, LI Xihong, CHEN Siyu, et al. Multi-objective layout
王鹤(1983),男,博士,教
optimization model of distribution automation equipment based on
授,从事新能源发电、柔性直流电
the EPSILON constraint method[J]. Power System Protection and
网、交直流混合配电网的优化、运
Control, 2021, 49(24): 51–58.
行、控制研究,E-mail:wanghe_nedu@163.com。
[26] 刘文丽, 张涛, 杨晓雷, 等. 计及负荷随机性含风电电力系统
TCSC 多目标优化配置 [J]. 电力系统保护与控制, 2023, 51(5): (责任编辑 许晓艳)
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