IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v16y2023i6p2536-d1090633.html
   My bibliography  Save this article

Development and Validation of a Load Flow Based Scheme for Optimum Placing and Quantifying of Distributed Generation for Alleviation of Congestion in Interconnected Power Systems

Author

Listed:
  • Joseph P. Varghese

    (Department of Electrical Engineering, National Institute of Technology, Calicut 673601, India)

  • Kumaravel Sundaramoorthy

    (Department of Electrical Engineering, National Institute of Technology, Calicut 673601, India)

  • Ashok Sankaran

    (Department of Electrical Engineering, National Institute of Technology, Calicut 673601, India)

Abstract

The energy supply entities widely adopt distributed generators (DG) to meet the additional power requirement due to scheduled or unscheduled interruptions. The expansion of transmission and distribution systems via the inclusion of loads and generators and the occurrence of line interruptions are significant causes of congestion of transmission lines in interconnected systems. The management and alleviation of congested lines is a primary requirement for a power system network’s reliable and efficient operation. The researchers investigated the potential scope of distributed generation (DG) to alleviate the congested branches in interconnected transmission systems. The development of a reliable scheme to arrive at the best location and size of local generators for alleviating congestion deserves considerable importance. This paper attempted to develop a simple and reliable strategy for the optimum placement and sizing of DGs to be integrated with a transmission line system of DGs for congestion relief in transmission lines by analyzing power flow solutions. This research work considered the 14-bus system of IEEE for the preliminary analysis to identify the parameters employed for assessing the severity of line congestion and the best placement and sizing of DGs for congestion relief. This work analyzed power flows by load flow algorithms using ETAP software in the 14-bus IEEE system for different line outage cases. The analysis of power flow solutions of the 14-bus system of IEEE revealed that the percentage violation of the system can be regarded as an essential parameter to assess the extent of congestion in an interconnected system. A detailed power flow analysis of the system with various capacities of DG integration at several buses in the system revealed the application of two indices, namely the index of severity (SI) and sensitivity factor (SF), for optimum placement with the best capacity of DGs for congestion alleviation in the system. This work proposed a reliable algorithm for the best siting and sizing of DGs for congestion relief by using the identified indices. The proposed methodology is system indices allied load flow-based algorithm. This work produced a fast simulation solution without any mismatch through this developed scheme. The approximations linked with the algorithm were very minute, resulting in comprehensive bests instead of inexact limited bests with less simulation time and more convergence probability and availing the benefits of the mathematical approach. The work investigated the feasibility of the proposed methodology for optimum placing and quantifying DGs for congestion solutions for a practical interconnected bus system in the supply entity of the Kerala grid with many buses. Any transmission system operator can adopt this method in similar connected systems anywhere. The proposed algorithm determined the most severe cases of congestion and the optimum site and size of DGs for managing congested feeders in the grid system. The analysis of the losses in the system for different cases of DG penetration by load flow analysis validated the suitability of the obtained results.

Suggested Citation

  • Joseph P. Varghese & Kumaravel Sundaramoorthy & Ashok Sankaran, 2023. "Development and Validation of a Load Flow Based Scheme for Optimum Placing and Quantifying of Distributed Generation for Alleviation of Congestion in Interconnected Power Systems," Energies, MDPI, vol. 16(6), pages 1-24, March.
  • Handle: RePEc:gam:jeners:v:16:y:2023:i:6:p:2536-:d:1090633
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/16/6/2536/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1996-1073/16/6/2536/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mulusew Ayalew & Baseem Khan & Issaias Giday & Om Prakash Mahela & Mahdi Khosravy & Neeraj Gupta & Tomonobu Senjyu, 2022. "Integration of Renewable Based Distributed Generation for Distribution Network Expansion Planning," Energies, MDPI, vol. 15(4), pages 1-17, February.
    2. Eshan Karunarathne & Jagadeesh Pasupuleti & Janaka Ekanayake & Dilini Almeida, 2021. "The Optimal Placement and Sizing of Distributed Generation in an Active Distribution Network with Several Soft Open Points," Energies, MDPI, vol. 14(4), pages 1-20, February.
    3. Mahesh Kumar & Amir Mahmood Soomro & Waqar Uddin & Laveet Kumar, 2022. "Optimal Multi-Objective Placement and Sizing of Distributed Generation in Distribution System: A Comprehensive Review," Energies, MDPI, vol. 15(21), pages 1-48, October.
    4. Suprava Chakraborty & Sumit Verma & Aprajita Salgotra & Rajvikram Madurai Elavarasan & Devaraj Elangovan & Lucian Mihet-Popa, 2021. "Solar-Based DG Allocation Using Harris Hawks Optimization While Considering Practical Aspects," Energies, MDPI, vol. 14(16), pages 1-26, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sebastian Bottler & Christian Weindl, 2023. "State-Space Load Flow Calculation of an Energy System with Sector-Coupling Technologies," Energies, MDPI, vol. 16(12), pages 1-22, June.

    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. Weifeng Xu & Bing Yu & Qing Song & Liguo Weng & Man Luo & Fan Zhang, 2022. "Economic and Low-Carbon-Oriented Distribution Network Planning Considering the Uncertainties of Photovoltaic Generation and Load Demand to Achieve Their Reliability," Energies, MDPI, vol. 15(24), pages 1-15, December.
    2. Adolfo Blengini Neto & Maria Beatriz Barbosa & Lia Moreira Mota & Marina Lavorato & Marcius F. H. de Carvalho, 2022. "Optimal Power Flow Technique for Distribution System Considering Distributed Energy Resources (DER)," Energies, MDPI, vol. 15(22), pages 1-16, November.
    3. Costa, Vinicius Braga Ferreira da & Bonatto, Benedito Donizeti, 2023. "Cutting-edge public policy proposal to maximize the long-term benefits of distributed energy resources," Renewable Energy, Elsevier, vol. 203(C), pages 357-372.
    4. Kaiye Gao & Tianshi Wang & Chenjing Han & Jinhao Xie & Ye Ma & Rui Peng, 2021. "A Review of Optimization of Microgrid Operation," Energies, MDPI, vol. 14(10), pages 1-39, May.
    5. Subrat Kumar Dash & Sivkumar Mishra & Almoataz Y. Abdelaziz & Mamdouh L. Alghaythi & Ahmed Allehyani, 2022. "Optimal Allocation of Distributed Generators in Active Distribution Networks Using a New Oppositional Hybrid Sine Cosine Muted Differential Evolution Algorithm," Energies, MDPI, vol. 15(6), pages 1-35, March.
    6. Mahmoud Aref & Vladislav Oboskalov & Adel El-Shahat & Almoataz Y. Abdelaziz, 2023. "Modified Analytical Technique for Multi-Objective Optimal Placement of High-Level Renewable Energy Penetration Connected to Egyptian Power System," Mathematics, MDPI, vol. 11(4), pages 1-31, February.
    7. Soheil Younesi & Bahman Ahmadi & Oguzhan Ceylan & Aydogan Ozdemir, 2022. "Optimum Parallel Processing Schemes to Improve the Computation Speed for Renewable Energy Allocation and Sizing Problems," Energies, MDPI, vol. 15(24), pages 1-18, December.
    8. Tomonobu Senjyu & Mahdi Khosravy, 2022. "Power System Planning and Quality Control," Energies, MDPI, vol. 15(14), pages 1-2, July.
    9. Mariano G. Ippolito & Fabio Massaro & Rossano Musca & Gaetano Zizzo, 2021. "An Original Control Strategy of Storage Systems for the Frequency Stability of Autonomous Grids with Renewable Power Generation," Energies, MDPI, vol. 14(15), pages 1-22, July.
    10. Hegazy Rezk & A. G. Olabi & Enas Taha Sayed & Tabbi Wilberforce, 2023. "Role of Metaheuristics in Optimizing Microgrids Operating and Management Issues: A Comprehensive Review," Sustainability, MDPI, vol. 15(6), pages 1-27, March.
    11. Fathy, Ahmed, 2022. "A novel artificial hummingbird algorithm for integrating renewable based biomass distributed generators in radial distribution systems," Applied Energy, Elsevier, vol. 323(C).
    12. Ardiaty Arief & Muhammad Bachtiar Nappu, 2023. "Novel Hybrid Modified Modal Analysis and Continuation Power Flow Method for Unity Power Factor DER Placement," Energies, MDPI, vol. 16(4), pages 1-18, February.
    13. Hongbo Gao & Shuang Qiu & Jun Fang & Nan Ma & Jiye Wang & Kun Cheng & Hui Wang & Yidong Zhu & Dawei Hu & Hengyu Liu & Jun Wang, 2023. "Short-Term Prediction of PV Power Based on Combined Modal Decomposition and NARX-LSTM-LightGBM," Sustainability, MDPI, vol. 15(10), pages 1-22, May.
    14. Abdelhady Ramadan & Salah Kamel & Mohamed H. Hassan & Marcos Tostado-Véliz & Ali M. Eltamaly, 2021. "Parameter Estimation of Static/Dynamic Photovoltaic Models Using a Developed Version of Eagle Strategy Gradient-Based Optimizer," Sustainability, MDPI, vol. 13(23), pages 1-29, November.
    15. Costa, Vinicius B.F. & Capaz, Rafael S. & Silva, Patrícia F. & Doyle, Gabriel & Aquila, Giancarlo & Coelho, Éden O. & de Lorenci, Eliane & Pereira, Lígia C. & Maciel, Letícia B. & Balestrassi, Pedro P, 2022. "Socioeconomic and environmental consequences of a new law for regulating distributed generation in Brazil: A holistic assessment," Energy Policy, Elsevier, vol. 169(C).
    16. Muhammad Huzaifa & Arif Hussain & Waseem Haider & Syed Ali Abbas Kazmi & Usman Ahmad & Habib Ur Rehman, 2023. "Optimal Planning Approaches under Various Seasonal Variations across an Active Distribution Grid Encapsulating Large-Scale Electrical Vehicle Fleets and Renewable Generation," Sustainability, MDPI, vol. 15(9), pages 1-32, May.
    17. Mouwafi, Mohamed T. & El-Sehiemy, Ragab A. & El-Ela, Adel A. Abou, 2022. "A two-stage method for optimal placement of distributed generation units and capacitors in distribution systems," Applied Energy, Elsevier, vol. 307(C).

    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:jeners:v:16:y:2023:i:6:p:2536-:d:1090633. 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.