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Pregled bibliografske jedinice broj: 1178415

Optimal dispatching of an energy system with integrated compressed air energy storage and demand response


Yang, Dechang; Wang, Ming; Yang, Ruiqi; Zheng, Yingying; Pandžić, Hrvoje
Optimal dispatching of an energy system with integrated compressed air energy storage and demand response // Energy, 234 (2021), 121232, 16 doi:10.1016/j.energy.2021.121232 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1178415 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Optimal dispatching of an energy system with integrated compressed air energy storage and demand response

Autori
Yang, Dechang ; Wang, Ming ; Yang, Ruiqi ; Zheng, Yingying ; Pandžić, Hrvoje

Izvornik
Energy (0360-5442) 234 (2021); 121232, 16

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Integrated energy system ; Compressed air energy storage ; Demand response ; Optimal dispatching ; Monte Carlo simulation

Sažetak
The integrated energy system is considered to be an important way to avoid energy supply risks by virtue of advantages in meeting diversified energy demand and improving energy utilization efficiency. Energy storage enables microgrid operators to respond to variability or loss of generation sources. In view of the difficulty of battery to fully improve the energy utilization efficiency and solve the problems of clean energy power large-scale consumption, and the difficulty of single demand response to significantly improve the operational reliability and economy of the integrated energy system, a rolling optimization planning framework and model of an integrated energy system considering compressed air energy storage and sliding time window-based electric and heating integrated response demand is proposed, which can obtain both optimal resource configuration and energy management strategy. The planning problem is to coordinate the output of various dispatching resources on the basis of satisfying the constraints, so as to minimize the total cost. Taking into account the uncertainty of wind power and photovoltaic output and the unplanned outage risk of the unit, a stochastic optimization model is constructed based on the probability density function of the risk variable, and finally the cost probability distribution is obtained. The results verify the universality of the planning model. The comparison of five different energy system configuration schemes and multiple time window length schemes verifies the validity and superiority of the model. The simulation results show that the integrated energy system scheme proposed by this planning model has better economy than the scheme without compressed air energy storage, and the operating cost decreases by 11.9% and the total cost decreases by 4.5%. In addition, the results show that through the introduction of demand response, the operating economy and flexibility of the integrated energy system are improved, and as the sliding window length increases, the total cost gradually decreases.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Hrvoje Pandžić (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Yang, Dechang; Wang, Ming; Yang, Ruiqi; Zheng, Yingying; Pandžić, Hrvoje
Optimal dispatching of an energy system with integrated compressed air energy storage and demand response // Energy, 234 (2021), 121232, 16 doi:10.1016/j.energy.2021.121232 (međunarodna recenzija, članak, znanstveni)
Yang, D., Wang, M., Yang, R., Zheng, Y. & Pandžić, H. (2021) Optimal dispatching of an energy system with integrated compressed air energy storage and demand response. Energy, 234, 121232, 16 doi:10.1016/j.energy.2021.121232.
@article{article, author = {Yang, Dechang and Wang, Ming and Yang, Ruiqi and Zheng, Yingying and Pand\v{z}i\'{c}, Hrvoje}, year = {2021}, pages = {16}, DOI = {10.1016/j.energy.2021.121232}, chapter = {121232}, keywords = {Integrated energy system, Compressed air energy storage, Demand response, Optimal dispatching, Monte Carlo simulation}, journal = {Energy}, doi = {10.1016/j.energy.2021.121232}, volume = {234}, issn = {0360-5442}, title = {Optimal dispatching of an energy system with integrated compressed air energy storage and demand response}, keyword = {Integrated energy system, Compressed air energy storage, Demand response, Optimal dispatching, Monte Carlo simulation}, chapternumber = {121232} }
@article{article, author = {Yang, Dechang and Wang, Ming and Yang, Ruiqi and Zheng, Yingying and Pand\v{z}i\'{c}, Hrvoje}, year = {2021}, pages = {16}, DOI = {10.1016/j.energy.2021.121232}, chapter = {121232}, keywords = {Integrated energy system, Compressed air energy storage, Demand response, Optimal dispatching, Monte Carlo simulation}, journal = {Energy}, doi = {10.1016/j.energy.2021.121232}, volume = {234}, issn = {0360-5442}, title = {Optimal dispatching of an energy system with integrated compressed air energy storage and demand response}, keyword = {Integrated energy system, Compressed air energy storage, Demand response, Optimal dispatching, Monte Carlo simulation}, chapternumber = {121232} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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