Skip to main content
SpringerLink
Log in

Optimal energy optimization of the integrated hybrid energy system considering storage system performance

  • Original Paper
  • Published:
Multiscale and Multidisciplinary Modeling, Experiments and Design Aims and scope Submit manuscript

Abstract

In this study, energy optimization of multiple electrical systems in off-grid mode with optimal participation of the storage systems is investigated. Multiple renewable sources, including solar cells, diesel generators, wind turbines, and backup storage systems, are utilized to feed the demand with high reliability. The load demand is divided into AC and DC loads on the consumers' sides. Then, by the mathematical nonlinear quadratic programming approach and heuristic approach, the optimal power generation in the generation side and consumers is implemented with minimum cost and the highest level of reliability. The following assesses the impact of batteries storage system on obtaining the optimal operation level. Finally, the proposed optimization algorithm is applied in MATLAB software with numerical simulation in the different operation modes of the energy systems to show the optimal energy generation.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8

Similar content being viewed by others

References

  • Abedinia O, Lu M, Bagheri M (2019) An improved multicriteria optimization method for solving the electric vehicles planning issue in smart grids via green energy sources. IEEE Access 8:3465–3481

    Article  Google Scholar 

  • Ahmadi Z, Haghighi M, Validi Z (2020) A novel approach for energy optimization in distributed databases in wireless network applications. J Manag Account Stud 8(3):50–55

    Article  Google Scholar 

  • Bilil H, Aniba G, Gharavi H (2016) Dynamic appliances scheduling in collaborative microgrids system. IEEE Trans Power Syst 32:2276–2287

    Article  Google Scholar 

  • Chamandoust H (2018) Economic scheduling of microgrid based on energy management and demand response. Electric Control Commun Eng 14(2):100–107. https://doi.org/10.2478/ecce-2018-0012

    Article  Google Scholar 

  • Ding X, Sun W, Harrison GP, Lv X, Weng Y (2020) Multi-objective optimization for an integrated renewable, power-to-gas and solid oxide fuel cell/gas turbine hybrid system in microgrid. Energy 213:118804

    Article  Google Scholar 

  • Elhassan ZA (2023) Utilizing homer power optimization software for a techno-economic feasibility, study of a sustainable grid-connected design for urban electricity in, Khartoum. Metall Mater Eng 29(1):101–118. https://doi.org/10.56801/MME988

    Article  Google Scholar 

  • Fambri G, Diaz-Londono C, Mazza A, Badami M, Sihvonen T, Weiss R (2022) Techno-economic analysis of Power-to-Gas plants in a gas and electricity distribution network system with high renewable energy penetration. Appl Energy 312:118743

    Article  Google Scholar 

  • Han L, Yu H-H (2023) An empirical study from Chinese energy firms on the relationship between executive compensation and corporate performance. Nurture 17(3):378–393. https://doi.org/10.55951/nurture.v17i3.356

    Article  Google Scholar 

  • Hou T, Fang R, Yang D, Zhang W, Tang J (2022) Energy storage system optimization based on a multi-time scale decomposition-coordination algorithm for wind-ESS systems. Sustain Energy Technol Assess 49:101645

    Google Scholar 

  • Huang Y, Wang Y, Liu N (2022) A two-stage energy management for heat-electricity integrated energy system considering dynamic pricing of Stackelberg game and operation strategy optimization. Energy 244:122576

    Article  Google Scholar 

  • Jamalzadeh F, Mirzahosseini AH, Faghihi F, Panahi M (2020) Optimal operation of energy hub system using hybrid stochastic-interval optimization approach. Sustain Cities Soc 54:101998

    Article  Google Scholar 

  • Jiang A, Yuan H, Li D (2021) Energy management for a community-level integrated energy system with photovoltaic prosumers based on bargaining theory. Energy 225:120272

    Article  Google Scholar 

  • Kaveh A, Vazirinia Y (2020) Smart-home electrical energy scheduling system using multi-objective antlion optimizer and evidential reasoning. Scientia Iranica 27:177–201

    Google Scholar 

  • Khalid A, Javaid N, Guizani M, Alhussein M, Aurangzeb K, Ilahi M (2018) Towards dynamic coordination among home appliances using multi-objective energy optimization for demand side management in smart buildings. IEEE Access 6:19509–19529

    Article  Google Scholar 

  • Lak Kamari M, Isvand H, Alhuyi Nazari M (2020) Applications of multi-criteria decision-making (MCDM) methods in renewable energy development: a review. Renew Energy Res Appl 1(1):47–54

    Google Scholar 

  • Mazzeo D, Oliveti G, Baglivo C, Congedo PM (2018) Energy reliability-constrained method for the multi-objective optimization of a photovoltaic-wind hybrid system with battery storage. Energy 156:688–708

    Article  Google Scholar 

  • Shakibi H, Afzal S, Shokri A, Sobhani B (2022) Utilization of a phase change material with metal foam for the performance improvement of the photovoltaic cells. J Energy Storage 51:104466. https://doi.org/10.1016/j.est.2022.104466

    Article  Google Scholar 

  • Tazvinga H, Zhu B, Xia X (2014) Energy dispatch strategy for a photovoltaic–wind–diesel–battery hybrid power system. Sol Energy 108:412–420

    Article  Google Scholar 

  • Tazvinga H, Zhu B, Xia X (2015) Optimal power flow management for distributed energy resources with batteries. Energy Convers Manage 102:104–110

    Article  Google Scholar 

  • Zhang W, Maleki A (2022) Modeling and optimization of a stand-alone desalination plant powered by solar/wind energies based on back-up systems using a hybrid algorithm. Energy 254:124341

    Article  Google Scholar 

  • Zhang W, Maleki A, Rosen MA (2019) A heuristic-based approach for optimizing a small independent solar and wind hybrid power scheme incorporating load forecasting. J Clean Prod 241:117920

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Shijiazhuang University of Applied Technology, Shijiazhuang, 050081, Hebei, China

    Biao Xu

  2. Qinhuangdao Open University, Qinhuangdao, 066000, China

    Jiangli Wang

Authors
  1. Biao Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jiangli Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

BX: formal analysis, methodology, software, language review. JW: writing—Original draft preparation, conceptualization, supervision, project administration.

Corresponding author

Correspondence to Jiangli Wang.

Ethics declarations

Conflict of interest

The authors declare no competing of interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Xu, B., Wang, J. Optimal energy optimization of the integrated hybrid energy system considering storage system performance. Multiscale and Multidiscip. Model. Exp. and Des. 7, 705–710 (2024). https://doi.org/10.1007/s41939-023-00239-9

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s41939-023-00239-9

Keywords

Search

Navigation