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Two States for Optimal Position and Capacity of Distributed Generators Considering Network Reconfiguration for Power Loss Minimization Based on Runner Root Algorithm

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  • Anh Viet Truong

    (HCMC University of Technology and Education, Ho Chi Minh City 71307, Vietnam)

  • Trieu Ngoc Ton

    (HCMC University of Technology and Education, Ho Chi Minh City 71307, Vietnam
    Thu Duc College of Technology, Ho Chi Minh City 71307, Vietnam)

  • Thuan Thanh Nguyen

    (Department of Electrical Supply, Faculty of Electrical Engineering Technology, Industrial University of Ho Chi Minh City, Ho Chi Minh City 71408, Vietnam)

  • Thanh Long Duong

    (Department of Electrical Supply, Faculty of Electrical Engineering Technology, Industrial University of Ho Chi Minh City, Ho Chi Minh City 71408, Vietnam)

Abstract

Although the distributed generator (DG) placement and distribution network (DN) reconfiguration techniques contribute to reduce power loss, obviously the former is a design problem which is used for a long-term purpose while the latter is an operational problem which is used for a short-term purpose. In this situation, the optimal value of the position and capacity of DGs is a value which must be not affected by changing the operational configuration due to easy changes in the status of switches compared with changes in the installed location of DG. This paper demonstrates a methodology for choosing the position and size of DGs on the DN that takes into account re-switching the status of switches on distribution of the DN to reduce power losses. The proposed method is based on the runner root algorithm (RRA) which separates the problem into two states. In State-I, RRA is used to optimize the position and size of DGs on closed-loop distribution networks which is a mesh shape topology and power is delivered through more than one line. In State-II, RRA is used to reconfigure the DN after placing the DGs to find the open-loop distribution network which is a tree shape topology and power is only delivered through one line. The calculation results in DN systems with 33 nodes and 69 nodes, showing that the proposed method is capable of solving the problem of the optimal position and size of DGs considering distribution network reconfiguration.

Suggested Citation

  • Anh Viet Truong & Trieu Ngoc Ton & Thuan Thanh Nguyen & Thanh Long Duong, 2018. "Two States for Optimal Position and Capacity of Distributed Generators Considering Network Reconfiguration for Power Loss Minimization Based on Runner Root Algorithm," Energies, MDPI, vol. 12(1), pages 1-16, December.
    • Handle: RePEc:gam:jeners:v:12:y:2018:i:1:p:106-:d:193915
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    References listed on IDEAS

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    1. Doagou-Mojarrad, Hasan & Gharehpetian, G.B. & Rastegar, H. & Olamaei, Javad, 2013. "Optimal placement and sizing of DG (distributed generation) units in distribution networks by novel hybrid evolutionary algorithm," Energy, Elsevier, vol. 54(C), pages 129-138.
    2. Hung, Duong Quoc & Mithulananthan, N. & Bansal, R.C., 2014. "An optimal investment planning framework for multiple distributed generation units in industrial distribution systems," Applied Energy, Elsevier, vol. 124(C), pages 62-72.
    3. Sedighizadeh, Mostafa & Esmaili, Masoud & Esmaeili, Mobin, 2014. "Application of the hybrid Big Bang-Big Crunch algorithm to optimal reconfiguration and distributed generation power allocation in distribution systems," Energy, Elsevier, vol. 76(C), pages 920-930.
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    1. Paschalis A. Gkaidatzis & Aggelos S. Bouhouras & Kallisthenis I. Sgouras & Dimitrios I. Doukas & Georgios C. Christoforidis & Dimitris P. Labridis, 2019. "Efficient RES Penetration under Optimal Distributed Generation Placement Approach," Energies, MDPI, vol. 12(7), pages 1-32, April.
    2. Kumar, Abhishek & Meena, Nand K. & Singh, Arvind R. & Deng, Yan & He, Xiangning & Bansal, R.C. & Kumar, Praveen, 2019. "Strategic integration of battery energy storage systems with the provision of distributed ancillary services in active distribution systems," Applied Energy, Elsevier, vol. 253(C), pages 1-1.
    3. Shamam Alwash & Sarmad Ibrahim & Azher M. Abed, 2022. "Distribution System Reconfiguration with Soft Open Point for Power Loss Reduction in Distribution Systems Based on Hybrid Water Cycle Algorithm," Energies, MDPI, vol. 16(1), pages 1-22, December.

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