EXPLORATION OF OPTIMAL CONFIGURATION AND OPERATION FOR ALL-RENEWABLE MULTI-ENERGY COMPLEMENTARY SYSTEMS

被引:0
|
作者
Huang W. [1 ]
Ge W. [1 ]
Ren H. [2 ]
Zhu Y. [1 ]
Chen H. [1 ]
机构
[1] School of Mechanical and Power Engineering, Nanjing Tech University, Nanjing
[2] College of Energy and Mechanical Engineering, Shanghai University of Electric Power, Shanghai
来源
关键词
biomass energy; carbon emission intensity; multi-energy complement; multi-energy coupling; optimal design;
D O I
10.19912/j.0254-0096.tynxb.2023-0002
中图分类号
学科分类号
摘要
Investigating this policy’s impact on such systems is particularly important. In this study,the capacity allocation and dispatching optimization model based on partial grid power supply and“electricity sales in the partition wall”. The impact of grid power supply and“electricity sales in the partition wall”on energy storage ratio,economic efficiency,and carbon emission parameters are examined. The results indicate that as the price of electricity sold in the partition wall increases,the system’s operating cost and battery capacity decrease,with the battery unit capacity stabilizing after the price reaches 0.33 Yuan∕kWh. The system’s operating strategy no longer changes after the electricity price reaches 0.37 Yuan∕kWh. Compared with a traditional system without "electricity sales in the partition wall," the park multi-energy complementary system is 25.9% more cost-effective,with a 37.8% reduction in annual operating costs and a decrease in carbon emission intensity from 76.9 kgCO2(∕ m2·a)to 52.3 kgCO2(∕ m2·a) © 2024 Science Press. All rights reserved.
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页码:351 / 359
页数:8
相关论文
共 22 条
  • [1] JIANG Y,HU S., Paths to carbon neutrality in China’s building sector[J], Heating ventilating & air conditioning, 51, 5, pp. 1-13, (2021)
  • [2] XU L, WANG Q G, YANG M C,, Et al., Evaluation index system of fully renewable energy multi- energy complementary system considering renewable resource endowment [J], Power system technology, 46, 10, pp. 4012-4019, (2022)
  • [3] TIAN D, CHEN Z L,, DENG Y., Integrated energy system optimal dispatching model considering prediction errors [J], Acta energiae solaris sinica, 40, 7, pp. 1890-1896, (2019)
  • [4] ZHOU C H, JIA H J,, JIN X L, Et al., Coordinated optimization for intelligent building and integrated community energy system based on chance-constrained programming[J], Automation of electric power systems, 47, 4, pp. 42-50, (2023)
  • [5] CHEN R, LIU S,, HE X Q,, Et al., Risk assessment and optimal dispatching considering source- network uncertainties[J], Proceedings of the CSU-EPSA, 35, 5, pp. 19-27, (2023)
  • [6] ZHANG X Y, XIONG H B, WANG C T,, Et al., Flexible economic dispatching of park- level integrated energy system based on optimal power output interval and carbon trading[J], Automation of electric power systems, 46, 16, pp. 72-83, (2022)
  • [7] LIN W, Et al., Multi-objective optimal hybrid power flow algorithm for integrated local area energy system[J], Proceedings of the CSEE, 37, 20, pp. 5829-5839, (2017)
  • [8] REN H B, WU Q, Et al., Collaborative optimization of distributed energy network based on electricity and heat interchanges[J], Proceedings of the CSEE, 38, 14, pp. 4023-4034, (2018)
  • [9] CHEN X, WU Q, Et al., Configuration and performance exploration of ali renewable energy multi energy complementary system[J], Journal of engineering thermophysics, (2022)
  • [10] PAN H, LIANG Z F, XIAO Y H,, Et al., Optimal operation of regional integrated energy system under multiple scenes [J], Acta energiae solaris sinica, 42, 1, pp. 484-492, (2021)