Low-carbon economic dispatch of integrated energy systems that incorporate CCPP-P2G and PDR considering dynamic carbon trading price

被引:27
作者
Cui, Yang [1 ]
Xu, Yang [1 ]
Huang, Tao [2 ]
Wang, Yijian [1 ]
Cheng, Dingran [1 ]
Zhao, Yuting [1 ]
机构
[1] Northeast Elect Power Univ, Key Lab Modern Power Syst Simulat & Control & Rene, Minist Educ, Jilin 132012, Peoples R China
[2] Politecn Torino, Dept Energy, I-10129 Turin, Italy
基金
中国国家自然科学基金;
关键词
Dynamic carbon trading price; Integrated energy systems; CCPP-P2G; Low -carbon economic dispatch; POWER-PLANTS; CAPTURE;
D O I
10.1016/j.jclepro.2023.138812
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
To address the challenge of global warming stemming from excessive fossil fuel combustion, the exploration of low-carbon technologies and improvements to carbon trading mechanisms stand out as vital strategies. An effective conduit for these strategies is the integrated energy system (IES), which has garnered increasing attention for its potential. To realize low-carbon advancements within energy systems, this study proposes a low carbon economic scheduling framework for the IES that integrates the coupled operation of carbon-capture power plants, power-to-gas (CCPP-P2G) unit and the price-based demand response (PDR) considering dy-namic carbon trading mechanisms. The proposed approach firstly concurrently considers source-side CCPP-P2G and load-side PDR to achieve coordinated low-carbon operation, elucidating the underlying mechanisms. Sub-sequently, a dynamic carbon trading model for the IES is formulated, flexibly capturing the ebb and flow of supply and demand in the carbon trading market. Amidst the uncertainty of the system, a bi-level optimization model is constructed to minimize the operational cost. Finally the effectiveness of the proposed method is demonstrated on an IES consisting of the IEEE-30 bus power system, 6-bus natural gas system and 6-bus district heating system. The findings indicate that the proposed dynamic carbon trading mechanism is able to effectively provide time-varying carbon trading price signals to fully reflect the supply and demand relationship of carbon emission allowance. Furthermore, the synchronized operation of CCPP-P2G and PDR yields substantial benefits, compared to the benchmark. Specifically for the test case, the proposed framework reduces system operational costs, wind power curtailment, and carbon emissions by $87,160, 1,410 MWh, and 4,849t, respectively.
引用
收藏
页数:16
相关论文
共 35 条
[1]   Economic-Emission Dispatch Problem in Power Systems With Carbon Capture Power Plants [J].
Akbari-Dibavar, Alireza ;
Mohammadi-ivatloo, Behnam ;
Zare, Kazem ;
Khalili, Tohid ;
Bidram, Ali .
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2021, 57 (04) :3341-3351
[2]  
Behera S, 2023, e-Prime - Advances in Electrical Engineering Electronics and Energy, V3, P100108, DOI [10.1016/j.prime.2023.100108, 10.1016/j.prime.2023.100108, DOI 10.1016/J.PRIME.2023.100108]
[3]  
Behera S, 2023, SN Computer Science, V4, DOI [10.1007/s42979-023-02011-9, 10.1007/s42979-023-02011-9, DOI 10.1007/S42979-023-02011-9]
[4]   A systematic review of energy management system based on various adaptive controllers with optimization algorithm on a smart microgrid [J].
Behera, Sadasiva ;
Dev Choudhury, Nalin B. .
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2021, 31 (12)
[5]   Responsible production policies with substitution and carbon emissions trading [J].
Chen, Xu ;
Chan, Chi Kin ;
Lee, Y. C. E. .
JOURNAL OF CLEANER PRODUCTION, 2016, 134 :642-651
[6]   Fuzzy day-ahead scheduling of virtual power plant with optimal confidence level [J].
Fan, Songli ;
Ai, Qian ;
Piao, Longjian .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2016, 10 (01) :205-212
[7]   A two-stage optimal scheduling model of integrated energy system based on CVaR theory implementing integrated demand response [J].
Fan, Wei ;
Tan, Zhongfu ;
Li, Fanqi ;
Zhang, Amin ;
Ju, Liwei ;
Wang, Yuwei ;
De, Gejirifu .
ENERGY, 2023, 263
[8]   Optimal operation for integrated energy system considering thermal inertia of district heating network and buildings [J].
Gu, Wei ;
Wang, Jun ;
Lu, Shuai ;
Luo, Zhao ;
Wu, Chenyu .
APPLIED ENERGY, 2017, 199 :234-246
[9]   Recent advances in methods, policies and technologies at sustainable energy systems development [J].
Guzovic, Zvonimir ;
Duic, Neven ;
Piacentino, Antonio ;
Markovska, Natasa ;
Mathiesen, Brian Vad ;
Lund, Henrik .
ENERGY, 2022, 245
[10]   Low-carbon economic dispatch for electricity and natural gas systems considering carbon capture systems and power-to-gas [J].
He, Liangce ;
Lu, Zhigang ;
Zhang, Jiangfeng ;
Geng, Lijun ;
Zhao, Hao ;
Li, Xueping .
APPLIED ENERGY, 2018, 224 :357-370