|
[1]
|
项目综合报告编写组. 《中国长期低碳发展战略与转型路径研究》综合报告[J]. 中国人口•资源与环境, 2020, 30(11): 1-25.
|
|
[2]
|
IPCC (2018) Special Report on Global Warming of 1.5˚C. Cambridge University Press, Cam-bridge.
|
|
[3]
|
康重庆, 杜尔顺, 等. 新型电力系统的“碳视角”: 科学问题与研究框架[J]. 电网技术, 2022, 46(3): 821-833.
|
|
[4]
|
胡志坚, 刘如, 陈志. 中国“碳中和”承诺下技术生态化发展战略思考[J]. 中国科技论坛, 2021(5): 14-20.
|
|
[5]
|
安军, 陈启鑫, 等. 面向大气污染防治的电力绿色调度策略研究与实践[J]. 电网技术, 2021, 45(2): 605-612. [Google Scholar] [CrossRef]
|
|
[6]
|
Ramanathan, R. (1994) Emission Constrained Economic Dispatch. IEEE Transactions on Power Systems, 9, 1994-2000. [Google Scholar] [CrossRef]
|
|
[7]
|
Talaq, J.H., El-Hawary, F. and El-Hawary, M.E. (1994) A Summary of Environmental/Economic Dispatch Algorithms. IEEE Transactions on Power Systems, 9, 1508-1516. [Google Scholar] [CrossRef]
|
|
[8]
|
Geng, Z., Conejo, A.J., Chen, Q., et al. (2017) Electricity Production Scheduling under Uncertainty: Max Social Welfare vs. Min Emission vs. Max Renewable Production. Applied Energy, 193, 540-549. [Google Scholar] [CrossRef]
|
|
[9]
|
Sadeghian, H.R. and Ardehali, M.M. (2016) A Novel Ap-proach for Optimal Economic Dispatch Scheduling of Integrated Combined Heat and Power Systems for Maximum Economic Profit and Minimum Environmental Emissions Based on Benders Decomposition. Energy, 102, 10-23. [Google Scholar] [CrossRef]
|
|
[10]
|
于德鳌, 李慧, 等. 基于改进萤火虫算法的含风电系统环境经济调度[J]. 电力科学与技术学报, 2020, 35(2): 84-92. [Google Scholar] [CrossRef]
|
|
[11]
|
夏爱明. 基于MOMPA-DE算法的含风电系统环境经济调度研究[D]: [硕士学位论文]. 镇江: 江苏科技大学, 2021.[CrossRef]
|
|
[12]
|
Jebaraj, L., Venkatesan, C., Soubache, I., et al. (2017) Application of Differential Evolution Algorithm in Static and Dynamic Economic or Emission Dispatch Problem: A Re-view. Renewable and Sustainable Energy Reviews, 77, 1206-1220. [Google Scholar] [CrossRef]
|
|
[13]
|
朱永胜. 电力系统环境经济优化调度研究[D]: [博士学位论文]. 郑州: 郑州大学, 2016.
|
|
[14]
|
张磊, 向紫藤, 等. 基于绿色证书交易机制的含风电场电力系统动态环境经济调度[J]. 智慧电力, 2021, 49(10): 75-82.
|
|
[15]
|
李笑竹, 王维庆, 徐其丹. 基于双群体伪并行GA-DE多目标算法的动态环境经济调度[J]. 安徽大学学报(自然科学版), 2021, 45(3): 42-49.
|
|
[16]
|
Elattar, E.E. (2018) Modified Harmony Search Algorithm for Combined Economic Emission Dispatch of Microgrid Incorporating Renewable Sources. Energy, 159, 496-507. [Google Scholar] [CrossRef]
|
|
[17]
|
刘刚, 朱永利, 蒋伟. 基于混合DE-PSO多目标算法的动态环境经济调度[J]. 电力自动化设备, 2018, 38(8): 1-7.
|
|
[18]
|
武慧虹, 林妤, 等. 自适应差分进化算法及对动态环境经济调度问题应用[J]. 计算机应用研究, 2021, 38(5): 1443-1448+1454. [Google Scholar] [CrossRef]
|
|
[19]
|
夏西强, 路梦圆, 徐春秋. 授权制造下碳交易对制造/再制造影响及协调机制研究[J]. 运筹与管理, 2022, 31(5): 136-142.
|
|
[20]
|
杨威, 龚学良, 等. 碳排放交易市场机制对电力市场的影响: 基于碳价需求响应的电力市场用户行为分析[J/OL]. 南方电网技术, 1-9. http://kns.cnki.net/kcms/detail/44.1643.TK.20220519.1501.006.html, 2022-06-01.
|
|
[21]
|
张晓辉, 闫柯柯, 卢志刚, 等. 基于碳交易的含风电系统低碳经济调度[J]. 电网技术, 2013, 37(10): 2697-2704.
|
|
[22]
|
张刚, 张峰, 张利, 等. 考虑碳排放交易的日前调度双阶段鲁棒优化模型[J]. 中国电机工程学报, 2018, 38(18): 5490-5499.
|
|
[23]
|
贺鹏, 艾欣. 基于高级量测体系的用户主动需求响应特点分析[J]. 电气时代, 2013(8): 24-26.
|
|
[24]
|
杨会艳. 基于自适应人工蜂群算法的环境经济调度研究[D]: [硕士学位论文]. 大连: 大连理工大学, 2019.
|
|
[25]
|
瞿博阳, 梁静. 双局部粒子群算法解决环境经济调度问题[J]. 计算机工程与应用, 2014, 50(11): 1-6.
|
|
[26]
|
Guo, C.X., Zhan, J.P. and Wu, Q.H. (2012) Dynamic Economic Emission Dispatch Based on Group Search Optimizer with Multiple Producers. Electric Power Systems Research, 86, 8-16. [Google Scholar] [CrossRef]
|
|
[27]
|
Wang, L. and Singh, C. (2008) Balancing Risk and Cost in Fuzzy Economic Dispatch Including wind Power Penetration Based on Particle Swarm Op-timization. Electric Power Systems Research, 78, 1361-1368. [Google Scholar] [CrossRef]
|
|
[28]
|
Pandit, N., Tripathi, A., Tapaswi, S., et al. (2011) Static/Dynamic Environmental Economic Dispatch Employing Chaotic Micro Bacterial Foraging Algorithm. 2nd International Confer-ence, SEMCCO 2011, Visakhapatnam, 19-21 December 2011, 585-592. [Google Scholar] [CrossRef]
|
|
[29]
|
张洪杰. 改进差分进化算法在电力系统经济调度中的应用研究[D]: [硕士学位论文]. 秦皇岛: 燕山大学, 2020.[CrossRef]
|
|
[30]
|
肖俊明, 周谦, 等. 多目标进化算法及其在电力环境经济调度中的应用综述[J]. 郑州大学学报(工学版), 2016, 37(2): 1-9.
|
|
[31]
|
Abualigah, L., Diabat, A., Mirjalili, S., Abd, E.M. and Gandomi, A.H. (2021) The Arithmetic Optimization Algorithm. Computer Methods in Applied Mechan-ics and Engineering, 376, Article ID: 113609. [Google Scholar] [CrossRef]
|
|
[32]
|
Manoharan, P., et al. (2021) A New Arithmetic Optimization Al-gorithm for Solving Real-World Multiobjective CEC-2021 Constrained Optimization Problems: Diversity Analysis and Validations. Journals & Magazines, 9, 84263- 84295. [Google Scholar] [CrossRef]
|
|
[33]
|
Bansal, P., Gehlot, K., Singhal, A. and Gupta, A. (2021) Automatic Detection of Osteosarcoma Based on Integrated Features and Feature Selection Using Binary Arithmetic Optimization Algorithm. Multimedia Tools and Applications, 81, 8807-8834. [Google Scholar] [CrossRef]
|
|
[34]
|
Khatir, S., Tiachacht, S., Le Thanh, C., Ghandourah, E., Mirjalili, S. and Wahab, M.A. (2021) An Improved Artificial Neural Network Using Arithmetic Optimization Algorithm for Damage Assessment in FGM Composite Plates. Composite Structures, 273, Article ID: 114287. [Google Scholar] [CrossRef]
|
|
[35]
|
Lacal-Arantegui, R. (2015) Materials Use in Electricity Generators in Wind Turbines State-of-the-Art and Future Specifications. Journal of Cleaner Production, 87, 275-283. [Google Scholar] [CrossRef]
|
|
[36]
|
王子龙, 于东立, 门向阳, 等. 含压缩空气储能的能源互联微网型系统优化配置[J]. 电力需求侧管理, 2018, 20(6): 40-45.
|
|
[37]
|
甘阳. 考虑需求响应的独立微电网多目标优化配置研究[D]: [硕士学位论文]. 郑州: 郑州大学, 2018.
|
|
[38]
|
李国庆, 翟晓娟, 李扬, 等. 基于改进蚁群算法的微电网多目标模糊优化运行[J]. 太阳能学报, 2018, 39(8): 2310-2317.
|
|
[39]
|
赵国涛, 丁泉, 付军华, 等. 基于多市场联动的区域能源系统低碳路径研究[J]. 电力建设, 2021, 42(3): 19-26.
|
|
[40]
|
郑婷婷, 刘升, 等. 自适应t分布与动态边界策略改进的算术优化算法[J]. 计算机应用研究, 2022, 39(5): 1410-1414. [Google Scholar] [CrossRef]
|
|
[41]
|
Lu, X., Zhou, K. and Yang, S. (2017) Mul-ti-Objective Optimal Dispatch of Micro-Grid Containing Electric Vehicles. Journal of Cleaner Production, 165, 1572-1581. [Google Scholar] [CrossRef]
|
|
[42]
|
Amjad, A.M., Alireza, S., et al. (2011) Mul-ti-Objective Operation Management of a Renewable MG (Micro-Grid) with Back-Up Micro-Turbine/Fuel Cell/Battery Hybrid Power Source. Energy, 36, 6490-6507. [Google Scholar] [CrossRef]
|