IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v12y2024i2p300-d1320814.html
   My bibliography  Save this article

Evolutionary Approach for DISCO Profit Maximization by Optimal Planning of Distributed Generators and Energy Storage Systems in Active Distribution Networks

Author

Listed:
  • Rabea Jamil Mahfoud

    (College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
    College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China)

  • Nizar Faisal Alkayem

    (College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
    College of Civil and Transportation Engineering, Hohai University, Nanjing 210098, China)

  • Emmanuel Fernandez-Rodriguez

    (Technological Institute of Merida, Technological Avenue, Merida 97118, Mexico)

  • Yuan Zheng

    (College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
    College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China)

  • Yonghui Sun

    (College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China)

  • Shida Zhang

    (Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Nankai District, Tianjin 300072, China)

  • Yuquan Zhang

    (College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China
    College of Energy and Electrical Engineering, Hohai University, Nanjing 210098, China)

Abstract

Distribution companies (DISCOs) aim to maximize their annual profits by performing the optimal planning of distributed generators (DGs) or energy storage systems (ESSs) in the deregulated electricity markets. Some previous studies have focused on the simultaneous planning of DGs and ESSs for DISCO profit maximization but have rarely considered the reactive powers of DGs and ESSs. In addition, the optimization methods used for solving this problem are either traditional or outdated, which may not yield superior results. To address these issues, this paper simultaneously performs the optimal planning of DGs and ESSs in distribution networks for DISCO profit maximization. The utilized model not only takes into account the revenues of trading active and reactive powers but also addresses the active and reactive powers of DGs and ESSs. To solve the optimization problem, a new hybrid evolutionary algorithm (EA) called the oppositional social engineering differential evolution with Lévy flights (OSEDE/LFs) is proposed. The OSEDE/LFs is applied to optimize the planning model using the 30-Bus and IEEE 69-Bus networks as test systems. The results of the two case studies are compared with several other EAs. The results confirm the significance of the planning model in achieving higher profits and demonstrate the effectiveness of the proposed approach when compared with other EAs.

Suggested Citation

  • Rabea Jamil Mahfoud & Nizar Faisal Alkayem & Emmanuel Fernandez-Rodriguez & Yuan Zheng & Yonghui Sun & Shida Zhang & Yuquan Zhang, 2024. "Evolutionary Approach for DISCO Profit Maximization by Optimal Planning of Distributed Generators and Energy Storage Systems in Active Distribution Networks," Mathematics, MDPI, vol. 12(2), pages 1-33, January.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:2:p:300-:d:1320814
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/12/2/300/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7390/12/2/300/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Xiang, Yue & Lu, Yu & Liu, Junyong, 2023. "Deep reinforcement learning based topology-aware voltage regulation of distribution networks with distributed energy storage," Applied Energy, Elsevier, vol. 332(C).
    2. Ma, Mingtao & Huang, Huijun & Song, Xiaoling & Peña-Mora, Feniosky & Zhang, Zhe & Chen, Jie, 2022. "Optimal sizing and operations of shared energy storage systems in distribution networks: A bi-level programming approach," Applied Energy, Elsevier, vol. 307(C).
    3. Samson Ademola Adegoke & Yanxia Sun & Zenghui Wang, 2023. "Minimization of Active Power Loss Using Enhanced Particle Swarm Optimization," Mathematics, MDPI, vol. 11(17), pages 1-17, August.
    4. Weckesser, Tilman & Dominković, Dominik Franjo & Blomgren, Emma M.V. & Schledorn, Amos & Madsen, Henrik, 2021. "Renewable Energy Communities: Optimal sizing and distribution grid impact of photo-voltaics and battery storage," Applied Energy, Elsevier, vol. 301(C).
    5. Mehrjerdi, Hasan, 2019. "Simultaneous load leveling and voltage profile improvement in distribution networks by optimal battery storage planning," Energy, Elsevier, vol. 181(C), pages 916-926.
    6. Zhang, Yuquan & Zang, Wei & Zheng, Jinhai & Cappietti, Lorenzo & Zhang, Jisheng & Zheng, Yuan & Fernandez-Rodriguez, E., 2021. "The influence of waves propagating with the current on the wake of a tidal stream turbine," Applied Energy, Elsevier, vol. 290(C).
    7. Wang, Yunqi & Qiu, Jing & Tao, Yuechuan, 2022. "Robust energy systems scheduling considering uncertainties and demand side emission impacts," Energy, Elsevier, vol. 239(PD).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zhang, Zhi & Zhang, Yuquan & Zheng, Yuan & Zhang, Jisheng & Fernandez-Rodriguez, Emmanuel & Zang, Wei & Ji, Renwei, 2023. "Power fluctuation and wake characteristics of tidal stream turbine subjected to wave and current interaction," Energy, Elsevier, vol. 264(C).
    2. Zhu, Xingxu & Hou, Xiangchen & Li, Junhui & Yan, Gangui & Li, Cuiping & Wang, Dongbo, 2023. "Distributed online prediction optimization algorithm for distributed energy resources considering the multi-periods optimal operation," Applied Energy, Elsevier, vol. 348(C).
    3. Lazzari, Florencia & Mor, Gerard & Cipriano, Jordi & Solsona, Francesc & Chemisana, Daniel & Guericke, Daniela, 2023. "Optimizing planning and operation of renewable energy communities with genetic algorithms," Applied Energy, Elsevier, vol. 338(C).
    4. Zhao, Yincheng & Zhang, Guozhou & Hu, Weihao & Huang, Qi & Chen, Zhe & Blaabjerg, Frede, 2023. "Meta-learning based voltage control strategy for emergency faults of active distribution networks," Applied Energy, Elsevier, vol. 349(C).
    5. Zhou, Yuekuan & Cao, Sunliang & Hensen, Jan L.M., 2021. "An energy paradigm transition framework from negative towards positive district energy sharing networks—Battery cycling aging, advanced battery management strategies, flexible vehicles-to-buildings in," Applied Energy, Elsevier, vol. 288(C).
    6. Shuangqing Yan & Yang Zheng & Jinbao Chen & Yousong Shi, 2022. "Hydraulic Oscillation Analysis of the Hydropower Station with an Equivalent Circuit-Based Hydraulic Impedance Scheme," Sustainability, MDPI, vol. 14(18), pages 1-16, September.
    7. Han, Ouzhu & Ding, Tao & Zhang, Xiaosheng & Mu, Chenggang & He, Xinran & Zhang, Hongji & Jia, Wenhao & Ma, Zhoujun, 2023. "A shared energy storage business model for data center clusters considering renewable energy uncertainties," Renewable Energy, Elsevier, vol. 202(C), pages 1273-1290.
    8. Wu, Baigong & Zhan, Mingjing & Wu, Rujian & Zhang, Xiao, 2023. "The investigation of a coaxial twin-counter-rotating turbine with variable-pitch adaptive blades," Energy, Elsevier, vol. 267(C).
    9. Baohong Jin & Zhichao Liu & Yichuan Liao, 2023. "Exploring the Impact of Regional Integrated Energy Systems Performance by Energy Storage Devices Based on a Bi-Level Dynamic Optimization Model," Energies, MDPI, vol. 16(6), pages 1-21, March.
    10. Zhaonian Ye & Yongzhen Wang & Kai Han & Changlu Zhao & Juntao Han & Yilin Zhu, 2023. "Bi-Objective Optimization and Emergy Analysis of Multi-Distributed Energy System Considering Shared Energy Storage," Sustainability, MDPI, vol. 15(2), pages 1-23, January.
    11. Qinghong Zhang & Zhouhao Shi & Weidong Shi & Zhanshan Xie & Linwei Tan & Yongfei Yang, 2022. "Research on Flow Field Characteristics in Water Jet Nozzle and Surface Damage Caused by Target Impact," Sustainability, MDPI, vol. 14(15), pages 1-13, July.
    12. Ge, Xinfeng & Sun, Jie & Zhou, Ye & Cai, Jianguo & Zhang, Hui & Zhang, Lei & Ding, Mingquan & Deng, Chaozhong & Binama, Maxime & Zheng, Yuan, 2021. "Experimental and Numerical studies on Opening and Velocity Influence on Sediment Erosion of Pelton Turbine Buckets," Renewable Energy, Elsevier, vol. 173(C), pages 1040-1056.
    13. Yuquan Zhang & Zhiqiang Liu & Chengyi Li & Xuemei Wang & Yuan Zheng & Zhi Zhang & Emmanuel Fernandez-Rodriguez & Rabea Jamil Mahfoud, 2022. "Fluid–Structure Interaction Modeling of Structural Loads and Fatigue Life Analysis of Tidal Stream Turbine," Mathematics, MDPI, vol. 10(19), pages 1-15, October.
    14. Mehrjerdi, Hasan & Hemmati, Reza, 2020. "Coordination of vehicle-to-home and renewable capacity resources for energy management in resilience and self-healing building," Renewable Energy, Elsevier, vol. 146(C), pages 568-579.
    15. Yantao Zhu & Mingxia Xie & Kang Zhang & Zhipeng Li, 2023. "A Dam Deformation Residual Correction Method for High Arch Dams Using Phase Space Reconstruction and an Optimized Long Short-Term Memory Network," Mathematics, MDPI, vol. 11(9), pages 1-20, April.
    16. Cerna, Fernando V. & Pourakbari-Kasmaei, Mahdi & Barros, Raone G. & Naderi, Ehsan & Lehtonen, Matti & Contreras, Javier, 2023. "Optimal operating scheme of neighborhood energy storage communities to improve power grid performance in smart cities," Applied Energy, Elsevier, vol. 331(C).
    17. Jie Sun & Yuquan Zhang & Bin Liu & Xinfeng Ge & Yuan Zheng & Emmanuel Fernandez-Rodriguez, 2022. "Research on Oil Mist Leakage of Bearing in Hydropower Station: A Review," Energies, MDPI, vol. 15(7), pages 1-24, April.
    18. Brayan A. Atoccsa & David W. Puma & Daygord Mendoza & Estefany Urday & Cristhian Ronceros & Modesto T. Palma, 2024. "Optimization of Ampacity in High-Voltage Underground Cables with Thermal Backfill Using Dynamic PSO and Adaptive Strategies," Energies, MDPI, vol. 17(5), pages 1-19, February.
    19. Baolong Liu & Jianxing Yu, 2022. "Effect of Mooring Parameters on Dynamic Responses of a Semi-Submersible Floating Offshore Wind Turbine," Sustainability, MDPI, vol. 14(21), pages 1-18, October.
    20. Junpei Nan & Jieran Feng & Xu Deng & Chao Wang & Ke Sun & Hao Zhou, 2022. "Hierarchical Low-Carbon Economic Dispatch with Source-Load Bilateral Carbon-Trading Based on Aumann–Shapley Method," Energies, MDPI, vol. 15(15), pages 1-17, July.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:12:y:2024:i:2:p:300-:d:1320814. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.