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Electric Power Grids Distribution Generation System for Optimal Location and Sizing—A Case Study Investigation by Various Optimization Algorithms

Author

Listed:
  • Ahmed Ali

    (Faculty of Engineering and Built Environment, Department of Electrical and Electronics Engineering Science, University of Johannesburg, Auckland Park 2006, South Africa)

  • Sanjeevikumar Padmanaban

    (Faculty of Engineering and Built Environment, Department of Electrical and Electronics Engineering Science, University of Johannesburg, Auckland Park 2006, South Africa)

  • Bhekisipho Twala

    (Faculty of Engineering and Built Environment, Department of Electrical and Electronics Engineering Science, University of Johannesburg, Auckland Park 2006, South Africa)

  • Tshilidzi Marwala

    (Faculty of Engineering and Built Environment, Department of Electrical and Electronics Engineering Science, University of Johannesburg, Auckland Park 2006, South Africa)

Abstract

In this paper, the approach focused on the variables involved in assessing the quality of a distributed generation system are reviewed in detail, for its investigation and research contribution. The aim to minimize the electric power losses (unused power consumption) and optimize the voltage profile for the power system under investigation. To provide this assessment, several experiments have been made to the IEEE 34-bus test case and various actual test cases with the respect of multiple Distribution Generation DG units. The possibility and effectiveness of the proposed algorithm for optimal placement and sizing of DG in distribution systems have been verified. Finally, four algorithms were trailed: simulated annealing (SA), hybrid genetic algorithm (HGA), genetic algorithm (GA), and variable neighbourhood search. The HGA algorithm was found to produce the best solution at a cost of a longer processing time.

Suggested Citation

  • Ahmed Ali & Sanjeevikumar Padmanaban & Bhekisipho Twala & Tshilidzi Marwala, 2017. "Electric Power Grids Distribution Generation System for Optimal Location and Sizing—A Case Study Investigation by Various Optimization Algorithms," Energies, MDPI, vol. 10(7), pages 1-13, July.
    • Handle: RePEc:gam:jeners:v:10:y:2017:i:7:p:960-:d:104208
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    Citations

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    Cited by:

    1. Hina Fathima A & Kaliannan Palanisamy & Sanjeevikumar Padmanaban & Umashankar Subramaniam, 2018. "Intelligence-Based Battery Management and Economic Analysis of an Optimized Dual-Vanadium Redox Battery (VRB) for a Wind-PV Hybrid System," Energies, MDPI, vol. 11(10), pages 1-18, October.
    2. Gopinath Subramani & Vigna K. Ramachandaramurthy & Sanjeevikumar Padmanaban & Lucian Mihet-Popa & Frede Blaabjerg & Josep M. Guerrero, 2017. "Grid-Tied Photovoltaic and Battery Storage Systems with Malaysian Electricity Tariff—A Review on Maximum Demand Shaving," Energies, MDPI, vol. 10(11), pages 1-17, November.
    3. Kang Miao Tan & Vigna K. Ramachandaramurthy & Jia Ying Yong & Sanjeevikumar Padmanaban & Lucian Mihet-Popa & Frede Blaabjerg, 2017. "Minimization of Load Variance in Power Grids—Investigation on Optimal Vehicle-to-Grid Scheduling," Energies, MDPI, vol. 10(11), pages 1-21, November.
    4. Seyed Siavash Karimi Madahi & Andrija T. Sarić, 2020. "Multi-Criteria Optimal Sizing and Allocation of Renewable and Non-Renewable Distributed Generation Resources at 63 kV/20 kV Substations," Energies, MDPI, vol. 13(20), pages 1-22, October.
    5. Ivan Lorencin & Nikola Anđelić & Vedran Mrzljak & Zlatan Car, 2019. "Genetic Algorithm Approach to Design of Multi-Layer Perceptron for Combined Cycle Power Plant Electrical Power Output Estimation," Energies, MDPI, vol. 12(22), pages 1-26, November.
    6. Mohammed Kh. AL-Nussairi & Ramazan Bayindir & Sanjeevikumar Padmanaban & Lucian Mihet-Popa & Pierluigi Siano, 2017. "Constant Power Loads (CPL) with Microgrids: Problem Definition, Stability Analysis and Compensation Techniques," Energies, MDPI, vol. 10(10), pages 1-20, October.
    7. Gubbala Venkata Naga Lakshmi & Askani Jaya Laxmi & Venkataramana Veeramsetty & Surender Reddy Salkuti, 2022. "Optimal Placement of Distributed Generation Based on Power Quality Improvement Using Self-Adaptive Lévy Flight Jaya Algorithm," Clean Technol., MDPI, vol. 4(4), pages 1-13, November.
    8. Seyed Morteza Alizadeh & Sakineh Sadeghipour & Cagil Ozansoy & Akhtar Kalam, 2020. "Developing a Mathematical Model for Wind Power Plant Siting and Sizing in Distribution Networks," Energies, MDPI, vol. 13(13), pages 1-34, July.
    9. Ramji Tiwari & Sanjeevikumar Padmanaban & Ramesh Babu Neelakandan, 2017. "Coordinated Control Strategies for a Permanent Magnet Synchronous Generator Based Wind Energy Conversion System," Energies, MDPI, vol. 10(10), pages 1-17, September.
    10. Santosh Ghimire & Seyed Morteza Alizadeh, 2021. "Developing a Decision Tree Algorithm for Wind Power Plants Siting and Sizing in Distribution Networks," Energies, MDPI, vol. 14(8), pages 1-24, April.
    11. Nissim Amar & Aaron Shmaryahu & Michael Coletti & Ilan Aharon, 2021. "Sizing Procedure for System Hybridization Based on Experimental Source Modeling in Grid Application," Energies, MDPI, vol. 14(15), pages 1-19, August.

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