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Constraints for effective distribution network expansion planning: an ample review

Author

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  • Mandhir Kumar Verma

    (Indian Institute of Technology)

  • Vivekananda Mukherjee

    (Indian Institute of Technology)

  • Vinod Kumar Yadav

    (Delhi Technological University)

  • Santosh Ghosh

    (Kirloskar Brothers Limited)

Abstract

The efficacy and practical relevance of the solution of any technical problem depends not only upon effective formulation of an objective function, but also on the choice of constraints, which limits the solution space, and same is the case with distribution network expansion planning (DNEP) problems as well. The objective functions of DNEP problems need to be bound by appropriate technical, social and economic constraints to arrive at the optimal solution for any site. Constraints are the conditions imposed in DNEP on various objective functions to achieve the most cost-effective, consistent and environment-friendly optimized solution. Hence the choice of appropriate constraints has a significant role in the execution of DNEP problems effectively. The present work aims to summarize the constraints considered in more than eighty selected original articles published over a decade. The constraints considered by various eminent researchers have been discussed by classifying them into technical, non-technical, time & financial and miscellaneous constraints. Special considerations required for deciding constraints for DNEP concerning assimilation of distributed generation (DG) and distributed energy storage system (DESS) have been discussed as well. The summary of constraints, through comprehensive review of the gigantic volume of literature on DNEP published over the past decade will help enduring and budding researchers in this field, pinpointing any breaks in reviewed literature that can be address in impending research for further enhancement and can be employed to arrive at an optimum solutions to DNEP problems.

Suggested Citation

  • Mandhir Kumar Verma & Vivekananda Mukherjee & Vinod Kumar Yadav & Santosh Ghosh, 2020. "Constraints for effective distribution network expansion planning: an ample review," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 11(3), pages 531-546, June.
    • Handle: RePEc:spr:ijsaem:v:11:y:2020:i:3:d:10.1007_s13198-020-00969-w
    DOI: 10.1007/s13198-020-00969-w
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    1. Vikas Singh Bhadoria & Nidhi Singh Pal & Vivek Shrivastava, 2019. "Artificial immune system based approach for size and location optimization of distributed generation in distribution system," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(3), pages 339-349, June.
    2. Saboori, Hedayat & Hemmati, Reza, 2017. "Maximizing DISCO profit in active distribution networks by optimal planning of energy storage systems and distributed generators," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 365-372.
    3. Saboori, Hedayat & Hemmati, Reza & Jirdehi, Mehdi Ahmadi, 2015. "Reliability improvement in radial electrical distribution network by optimal planning of energy storage systems," Energy, Elsevier, vol. 93(P2), pages 2299-2312.
    4. Hemmati, Reza & Saboori, Hedayat & Siano, Pierluigi, 2017. "Coordinated short-term scheduling and long-term expansion planning in microgrids incorporating renewable energy resources and energy storage systems," Energy, Elsevier, vol. 134(C), pages 699-708.
    5. Divya Asija & K. M. Soni & S. K. Sinha & Vinod Kumar Yadav, 2017. "Multi-objective optimization and network security enhancement for congestion management in wholesale electricity market," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(2), pages 1775-1782, November.
    6. 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.
    7. Shivaie, Mojtaba & Ameli, Mohammad T. & Sepasian, Mohammad S. & Weinsier, Philip D. & Vahidinasab, Vahid, 2015. "A multistage framework for reliability-based distribution expansion planning considering distributed generations by a self-adaptive global-based harmony search algorithm," Reliability Engineering and System Safety, Elsevier, vol. 139(C), pages 68-81.
    8. Aghaei, Jamshid & Muttaqi, Kashem M. & Azizivahed, Ali & Gitizadeh, Mohsen, 2014. "Distribution expansion planning considering reliability and security of energy using modified PSO (Particle Swarm Optimization) algorithm," Energy, Elsevier, vol. 65(C), pages 398-411.
    9. Mokryani, Geev & Hu, Yim Fun & Papadopoulos, Panagiotis & Niknam, Taher & Aghaei, Jamshid, 2017. "Deterministic approach for active distribution networks planning with high penetration of wind and solar power," Renewable Energy, Elsevier, vol. 113(C), pages 942-951.
    10. Li, Yang & Feng, Bo & Li, Guoqing & Qi, Junjian & Zhao, Dongbo & Mu, Yunfei, 2018. "Optimal distributed generation planning in active distribution networks considering integration of energy storage," Applied Energy, Elsevier, vol. 210(C), pages 1073-1081.
    11. Ahmadigorji, Masoud & Amjady, Nima, 2015. "Optimal dynamic expansion planning of distribution systems considering non-renewable distributed generation using a new heuristic double-stage optimization solution approach," Applied Energy, Elsevier, vol. 156(C), pages 655-665.
    12. Bai, Linquan & Jiang, Tao & Li, Fangxing & Chen, Houhe & Li, Xue, 2018. "Distributed energy storage planning in soft open point based active distribution networks incorporating network reconfiguration and DG reactive power capability," Applied Energy, Elsevier, vol. 210(C), pages 1082-1091.
    13. Vijay Raviprabakaran & Ravichandran Coimbatore Subramanian, 2018. "Enhanced ant colony optimization to solve the optimal power flow with ecological emission," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(1), pages 58-65, February.
    14. Jagdish Chand Bansal & Shimpi Singh Jadon & Ritu Tiwari & Deep Kiran & B. K. Panigrahi, 2017. "Optimal power flow using artificial bee colony algorithm with global and local neighborhoods," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(4), pages 2158-2169, December.
    15. Abdelmalek Gacem & Djilani Benattous, 2017. "Hybrid GA–PSO for optimal placement of static VAR compensators in power system," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(1), pages 247-254, January.
    16. Ahmadigorji, Masoud & Amjady, Nima, 2016. "A multiyear DG-incorporated framework for expansion planning of distribution networks using binary chaotic shark smell optimization algorithm," Energy, Elsevier, vol. 102(C), pages 199-215.
    17. Gitizadeh, Mohsen & Vahed, Ali Azizi & Aghaei, Jamshid, 2013. "Multistage distribution system expansion planning considering distributed generation using hybrid evolutionary algorithms," Applied Energy, Elsevier, vol. 101(C), pages 655-666.
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