[1] |
CAI W J, WANG C, WANG K, et al. Scenario analysis on CO2 emissions reduction potential in China’s electricity sector[J]. Energy Policy, 2007, 35(12):6445-6456.
doi: 10.1016/j.enpol.2007.08.026
URL
|
[2] |
ZHU L, FAN Y. Optimization of China’s generating portfolio and policy implications based on portfolio theory[J]. Energy, 2010, 35(3):1391-1402.
doi: 10.1016/j.energy.2009.11.024
URL
|
[3] |
CHEN Q X, KANG C Q, XIA Q, et al. Preliminary exploration on low-carbon technology roadmap of China’s power sector[J]. Energy, 2011, 36(3):1500-1512.
doi: 10.1016/j.energy.2011.01.015
URL
|
[4] |
ZHANG D J, LIU P, MA L W, et al. A multi-period modelling and optimization approach to the planning of China’s power sector with consideration of carbon dioxide mitigation[J]. Computers & Chemical Engineering, 2012, 37:227-247.
doi: 10.1016/j.compchemeng.2011.09.001
URL
|
[5] |
ALMANSOORI A, BETANCOURT-TORCAT A. Design optimization model for the integration of renewable and nuclear energy in the United Arab Emirates’ power system[J]. Applied Energy, 2015, 148:234-251.
doi: 10.1016/j.apenergy.2015.03.068
URL
|
[6] |
杨悦, 陈仕军, 杨博宇, 等. 基于环境和经济双重约束的电源结构优化研究[J]. 四川电力技术, 2021, 44(2):24-27.
|
|
YANG Yue, CHEN Shijun, YANG Boyu, et al. Research on power supply structure optimization based on environment and economy constraints[J]. Sichuan Electric Power Technology, 2021, 44(2):24-27.
|
[7] |
孙菊. 考虑碳排放和调峰能力约束的电源结构演化路径研究[D]. 济南: 山东大学, 2021.
|
|
SUN Ju. Research on evolution path of power supply structure considering constraints of carbon emission and peak regulation ability[D]. Jinan: Shandong University, 2021.
|
[8] |
XIE B C, FAN Y, QU Q Q. Does generation form influence environmental efficiency performance? An analysis of China’s power system[J]. Applied Energy, 2012, 96:261-271.
doi: 10.1016/j.apenergy.2011.11.011
URL
|
[9] |
CHENG R, XU Z F, LIU P, et al. A multi-region optimization planning model for China’s power sector[J]. Applied Energy, 2015, 137:413-426.
doi: 10.1016/j.apenergy.2014.10.023
URL
|
[10] |
GUO Z, CHENG R, XU Z F, et al. A multi-region load dispatch model for the long-term optimum planning of China’s electricity sector[J]. Applied Energy, 2017, 185:556-572.
doi: 10.1016/j.apenergy.2016.10.132
URL
|
[11] |
GUO Z, MA L W, LIU P, et al. A multi-regional modelling and optimization approach to China’s power generation and transmission planning[J]. Energy, 2016, 116:1348-1359.
doi: 10.1016/j.energy.2016.06.035
URL
|
[12] |
YI B W, XU J H, FAN Y. Inter-regional power grid planning up to 2030 in China considering renewable energy development and regional pollutant control: A multi-region bottom-up optimization model[J]. Applied Energy, 2016, 184:641-658.
doi: 10.1016/j.apenergy.2016.11.021
URL
|
[13] |
WANG H, NAKATA T. Analysis of the market penetration of clean coal technologies and its impacts in China’s electricity sector[J]. Energy Policy, 2009, 37(1):338-351.
doi: 10.1016/j.enpol.2008.09.045
URL
|
[14] |
KOLTSAKLIS N E, DAGOUMAS A S, KOPANOS G M, et al. A spatial multi-period long-term energy planning model: A case study of the Greek power system[J]. Applied Energy, 2014, 115:456-482.
doi: 10.1016/j.apenergy.2013.10.042
URL
|
[15] |
QADRDAN M, WU J Z, JENKINS N, et al. Operating strategies for a GB integrated gas and electricity network considering the uncertainty in wind power forecasts[J]. IEEE Transactions on Sustainable Energy, 2014, 5(1):128-138.
doi: 10.1109/TSTE.2013.2274818
URL
|
[16] |
ZHANG X P, CHE L, SHAHIDEHPOUR M, et al. Electricity-natural gas operation planning with hourly demand response for deployment of flexible ramp[J]. IEEE Transactions on Sustainable Energy, 2016, 7(3):996-1004.
|
[17] |
DING T, HU Y, BIE Z H. Multi-stage stochastic programming with nonanticipativity constraints for expansion of combined power and natural gas systems[J]. IEEE Transactions on Power Systems, 2018, 33(1):317-328.
doi: 10.1109/TPWRS.2017.2701881
URL
|
[18] |
姚力, 王秀丽, 肖汉, 等. 基于多场景随机规划的电力系统生产模拟方法[J]. 电力建设, 2016, 37(12):74-81.
|
|
YAO Li, WANG Xiuli, XIAO Han, et al. Production simulation method of power system based on multi-scenario stochastic programming[J]. Electric Power Construction, 2016, 37(12):74-81.
|
[19] |
宋云超, 王丹, 何伟, 等. 基于场景构建技术的含多种清洁能源微能源网多目标随机规划研究[J]. 电力系统保护与控制, 2021, 49(3):20-31.
|
|
SONG Yunchao, WANG Dan, HE Wei, et al. Research on multi-objective stochastic planning of a micro energy grid with multiple clean energy sources based on scenario construction technology[J]. Power System Protection and Control, 2021, 49(3):20-31.
|
[20] |
王志成, 王秀丽, 王帅. 考虑实时市场平衡费用的含风电日前市场电能-备用联合出清模型[J]. 中国电力, 2020, 53(9):19-27.
|
|
WANG Zhicheng, WANG Xiuli, WANG Shuai. Day-ahead market energy-reserve joint clearing model considering real-time market balancing cost under participation of wind power generation[J]. Electric Power, 2020, 53(9):19-27.
|
[21] |
韩照洋, 周琳, 刘硕, 等. 考虑不确定性的综合能源系统日前市场申报策略[J]. 电力建设, 2021, 42(4):121-131.
|
|
HAN Zhaoyang, ZHOU Lin, LIU Shuo, et al. Day-ahead market offering strategy in integrated energy system considering uncertainty[J]. Electric Power Construction, 2021, 42(4):121-131.
|
[22] |
GROWE-KUSKA N, HEITSCH H, ROMISCH W. Scenario reduction and scenario tree construction for power management problems[C]// 2003 IEEE Bologna Power Tech Conference Proceedings. Bologna, Italy. IEEE.
|
[23] |
丁涛, 李澄, 胡源, 等. 考虑非预期条件的电力系统多阶段随机规划建模理论与方法[J]. 电网技术, 2017, 41(11):3566-3573.
|
|
DING Tao, LI Cheng, HU Yuan, et al. Multi-stage stochastic programming for power system planning considering nonanticipative constraints[J]. Power System Technology, 2017, 41(11):3566-3573.
|
[24] |
张晓辉. 含风电的电力系统动态经济调度研究[D]. 秦皇岛: 燕山大学, 2015.
|
|
ZHANG Xiaohui. Research on dynamic economic dispatch of power system with wind power[D]. Qinhuangdao: Yanshan University, 2015.
|