Distribution Network Optimization with Scattered Generator Integration Using Immune-Clonal Selection Method

Ramadoni Syahputra, Indah Soesanti


This paper proposes distribution network optimization with scattered generator integration using the immune-clonal selection (ICS) method. Nowadays, the high popularity of scattered generators (SG) has made distribution networks essential to manage appropriately. This interest is because SG is usually injected into the distribution network due to the ease of accessing the network and the voltage level of the distribution network, which is easier for SG to reach. However, the presence of SG as a distribution network is increasingly dynamic, so that appropriate techniques are needed to achieve adequate network performance through network optimization. The ICS method is expected to be the right solution for this task. The ICS technique was chosen for its excellence in accurately optimizing for multi-objectives while avoiding premature convergence to local minima. The ICS approach was applied to IEEE model distribution networks of 33-bus and 71-bus. The optimization results show that the effectiveness and superiority of the ICS method, which is indicated by shallow power losses with a better voltage profile, and the load balance on each feeder is maintained.


Doi: 10.28991/esj-2021-01312

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Distribution Network; Immune-clonal Selection; Multi-objective Optimization; Reconfiguration; Scattered Generators.


Wang, Jie, Weiqing Wang, Haiyun Wang, and Huiwen Zuo. “Dynamic Reconfiguration of Multiobjective Distribution Networks Considering DG and EVs Based on a Novel LDBAS Algorithm.” IEEE Access 8 (2020): 216873–93. doi:10.1109/ACCESS.2020.3041398.

Ali Ehsan, Ming Cheng, and Qiang Yang. “Scenario-Based Planning of Active Distribution Systems under Uncertainties of Renewable Generation and Electricity Demand.” CSEE Journal of Power and Energy Systems 5, no. 1 (2019): 56–62. doi:10.17775/cseejpes.2018.00460.

Song, Yue, Yu Zheng, Tao Liu, Shunbo Lei, and David J. Hill. “A New Formulation of Distribution Network Reconfiguration for Reducing the Voltage Volatility Induced by Distributed Generation.” IEEE Transactions on Power Systems 35, no. 1 (2020): 496–507. doi:10.1109/TPWRS.2019.2926317.

Kianmehr, Ehsan, Saman Nikkhah, Vahid Vahidinasab, Damian Giaouris, and Philip C. Taylor. “A Resilience-Based Architecture for Joint Distributed Energy Resources Allocation and Hourly Network Reconfiguration.” IEEE Transactions on Industrial Informatics 15, no. 10 (2019): 5444–55. doi:10.1109/TII.2019.2901538.

Ahmed, Jubaer, and Zainal Salam. “An Enhanced Adaptive P&O MPPT for Fast and Efficient Tracking under Varying Environmental Conditions.” IEEE Transactions on Sustainable Energy 9, no. 3 (2018): 1487–96. doi:10.1109/TSTE.2018.2791968.

Sher, Hadeed Ahmed, Khaled E. Addoweesh, and Kamal Al-Haddad. “An Efficient and Cost-Effective Hybrid MPPT Method for a Photovoltaic Flyback Microinverter.” IEEE Transactions on Sustainable Energy 9, no. 3 (2018): 1137–44. doi:10.1109/TSTE.2017.2771439.

Liu, Zifa, Yunyang Liu, Gaoqiang Qu, Xinyue Wang, and Xuyang Wang. “Intra-Day Dynamic Network Reconfiguration Based on Probability Analysis Considering the Deployment of Remote Control Switches.” IEEE Access 7 (2019): 145272–81. doi:10.1109/ACCESS.2019.2944917.

Syahputra, Ramadoni, and Indah Soesanti. “Planning of Hybrid Micro-Hydro and Solar Photovoltaic Systems for Rural Areas of Central Java, Indonesia.” Journal of Electrical and Computer Engineering 2020 (2020). doi:10.1155/2020/5972342.

Syahputra, Ramadoni, and Indah Soesanti. “Performance Improvement for Small-Scale Wind Turbine System Based on Maximum Power Point Tracking Control.” Energies 12, no. 20 (2019): 3938. doi:10.3390/en12203938.

Al-Ismail, Fahad S. “Discussion on ‘A New Formulation of Distribution Network Reconfiguration for Reducing the Voltage Volatility Induced by Distributed Generation.’” IEEE Transactions on Power Systems 35, no. 6 (2020): 4974. doi:10.1109/TPWRS.2020.3012366.

Syahputra, Ramadoni, and Indah Soesanti. “Renewable Energy Systems Based on Micro-Hydro and Solar Photovoltaic for Rural Areas: A Case Study in Yogyakarta, Indonesia.” Energy Reports 7 (2021): 472–90. doi:10.1016/j.egyr.2021.01.015.

Hien, Nguyen Cong, Nadarajah Mithulananthan, and R. C. Bansal. “Location and Sizing of Distributed Generation Units for Loadabilty Enhancement in Primary Feeder.” IEEE Systems Journal 7, no. 4 (2013): 797–806. doi:10.1109/JSYST.2012.2234396.

Azizivahed, Ali, Ali Arefi, Sahand Ghavidel, Miadreza Shafie-Khah, Li Li, Jiangfeng Zhang, and Joao P.S. Catalao. “Energy Management Strategy in Dynamic Distribution Network Reconfiguration Considering Renewable Energy Resources and Storage.” IEEE Transactions on Sustainable Energy 11, no. 2 (2020): 662–73. doi:10.1109/TSTE.2019.2901429.

Lei, Shunbo, Chen Chen, Yue Song, and Yunhe Hou. “Radiality Constraints for Resilient Reconfiguration of Distribution Systems: Formulation and Application to Microgrid Formation.” IEEE Transactions on Smart Grid 11, no. 5 (2020): 3944–56. doi:10.1109/TSG.2020.2985087.

Sekhavatmanesh, Hossein, and Rachid Cherkaoui. “A Multi-Step Reconfiguration Model for Active Distribution Network Restoration Integrating DG Start-Up Sequences.” IEEE Transactions on Sustainable Energy 11, no. 4 (2020): 2879–88. doi:10.1109/TSTE.2020.2980890.

Calderaro, V., A. Piccolo, and P. Siano. “Maximizing DG Penetration in Distribution Networks by Means of GA Based Reconfiguration.” In 2005 International Conference on Future Power Systems, Vol. 2005. Amsterdam, 2005. doi:10.1109/fps.2005.204237.

Wang, Ying, Yin Xu, Jiaxu Li, Jinghan He, and Xiaojun Wang. “On the Radiality Constraints for Distribution System Restoration and Reconfiguration Problems.” IEEE Transactions on Power Systems 35, no. 4 (2020): 3294–96. doi:10.1109/TPWRS.2020.2991356.

Huang, Wanjun, Weiye Zheng, and David J. Hill. “Distributionally Robust Optimal Power Flow in Multi-Microgrids with Decomposition and Guaranteed Convergence.” IEEE Transactions on Smart Grid 12, no. 1 (2021): 43–55. doi:10.1109/TSG.2020.3012025.

Akrami, Alireza, Meysam Doostizadeh, and Farrokh Aminifar. “Optimal Reconfiguration of Distribution Network Using mu PMU Measurements: A Data-Driven Stochastic Robust Optimization.” IEEE Transactions on Smart Grid 11, no. 1 (2020): 420–28. doi:10.1109/TSG.2019.2923740.

Zheng, Weiye, Wanjun Huang, David J. Hill, and Yunhe Hou. “An Adaptive Distributionally Robust Model for Three-Phase Distribution Network Reconfiguration.” IEEE Transactions on Smart Grid 12, no. 2 (2021): 1224–37. doi:10.1109/TSG.2020.3030299.

Ahmed, Haytham M.A., and Magdy M.A. Salama. “Energy Management of AC-DC Hybrid Distribution Systems Considering Network Reconfiguration.” IEEE Transactions on Power Systems 34, no. 6 (2019): 4583–94. doi:10.1109/TPWRS.2019.2916227.

Millar, R. J., E. Saarijärvi, M. Lehtonen, M. Hyvärinen, J. Niskanen, and P. Hämäläinen. “Electricity Distribution Network Planning Algorithm Based on Efficient Initial and Radial-to-Full Network Conversion.” International Review of Electrical Engineering 8, no. 3 (2013): 1076–90. doi:10.15866/iree.v8i3.1870.

Farahani, Vahid, Behrooz Vahidi, and Hossein Askarian Abyaneh. “Reconfiguration and Capacitor Placement Simultaneously for Energy Loss Reduction Based on an Improved Reconfiguration Method.” IEEE Transactions on Power Systems 27, no. 2 (2012): 587–95. doi:10.1109/TPWRS.2011.2167688.

Das, Debapriya. “A Fuzzy Multiobjective Approach for Network Reconfiguration of Distribution Systems.” IEEE Transactions on Power Delivery 21, no. 1 (2006): 202–9. doi:10.1109/TPWRD.2005.852335.

Syahputra, Ramadoni, Imam Robandi, and Mochamad Ashari. “Optimization of Distribution Network Configuration with Integration of Distributed Energy Resources Using Extended Fuzzy Multi-Objective Method.” International Review of Electrical Engineering 9, no. 3 (2014): 629–39. doi:10.15866/iree.v9i3.956.

Jeon, Young Jae, Jae Chul Kim, Jin O. Kim, Joong Rin Shin, and Kwang Y. Lee. “An Efficient Simulated Annealing Algorithm for Network Reconfiguration in Large-Scale Distribution Systems.” IEEE Transactions on Power Delivery 17, no. 4 (2002): 1070–78. doi:10.1109/TPWRD.2002.803823.

Enacheanu, Bogdan, Bertrand Raison, Raphael Caire, Olivier Devaux, Wojciech Bienia, and Nouredine HadjSaid. “Radial Network Reconfiguration Using Genetic Algorithm Based on the Matroid Theory.” IEEE Transactions on Power Systems 23, no. 1 (2008): 186–95. doi:10.1109/TPWRS.2007.913303.

Srinivasa Rao, Rayapudi, Sadhu Venkata Lakshmi Narasimham, Manyala Ramalinga Raju, and A. Srinivasa Rao. “Optimal Network Reconfiguration of Large-Scale Distribution System Using Harmony Search Algorithm.” IEEE Transactions on Power Systems 26, no. 3 (2011): 1080–88. doi:10.1109/TPWRS.2010.2076839.

Falaghi, Hamid, Mahmood Reza Haghifam, and Chanan Singh. “Ant Colony Optimization-Based Method for Placement of Sectionalizing Switches in Distribution Networks Using a Fuzzy Multiobjective Approach.” IEEE Transactions on Power Delivery 24, no. 1 (2009): 268–76. doi:10.1109/TPWRD.2008.2005656.

Niknam, Taher, Hamed Zeinoddini Meymand, and Hasan Doagou Mojarrad. “A Practical Multi-Objective PSO Algorithm for Optimal Operation Management of Distribution Network with Regard to Fuel Cell Power Plants.” Renewable Energy 36, no. 5 (2011): 1529–44. doi:10.1016/j.renene.2010.11.027.

Syahputra, Ramadoni, Imam Robandi, and Mochamad Ashari. “Performance Improvement of Radial Distribution Network with Distributed Generation Integration Using Extended Particle Swarm Optimization Algorithm.” International Review of Electrical Engineering 10, no. 2 (2015): 293–304. doi:10.15866/iree.v10i2.5410.

Syahputra, Ramadoni, Indah Soesanti, and Mochamad Ashari. “Performance Enhancement of Distribution Network with Dg Integration Using Modified PSO Algorithm.” Journal of Electrical Systems 12, no. 1 (2016): 1–19.

Ahmad, N. H., T. K.A. Rahman, and N. Aminuddin. “Multi-Objective Quantum-Inspired Artificial Immune System Approach for Optimal Network Reconfiguration in Distribution System.” In 2012 IEEE International Power Engineering and Optimization Conference, PEOCO 2012 - Conference Proceedings, 384–88. Melaka, Malaysia, 2012. doi:10.1109/PEOCO.2012.6230894.

Chen, Qian, Weiqing Wang, Haiyun Wang, Jiahui Wu, Xiaozhu Li, and Jiongfeng Lan. “A Social Beetle Swarm Algorithm Based on Grey Target Decision-Making for a Multiobjective Distribution Network Reconfiguration Considering Partition of Time Intervals.” IEEE Access 8 (2020): 204987–13. doi:10.1109/ACCESS.2020.3036898.

Hu, Tianyu, Qinglai Guo, Zhengshuo Li, Xinwei Shen, and Hongbin Sun. “Distribution-Free Probability Density Forecast through Deep Neural Networks.” IEEE Transactions on Neural Networks and Learning Systems 31, no. 2 (2020): 612–25. doi:10.1109/TNNLS.2019.2907305.

Zhong, Tianwei, Hai Tao Zhang, Yuanzheng Li, Lan Liu, and Renzhi Lu. “Bayesian Learning-Based Multi-Objective Distribution Power Network Reconfiguration.” IEEE Transactions on Smart Grid 12, no. 2 (2021): 1174–84. doi:10.1109/TSG.2020.3027290.

Wang, Wei, Nanpeng Yu, Yuanqi Gao, and Jie Shi. “Safe Off-Policy Deep Reinforcement Learning Algorithm for Volt-VAR Control in Power Distribution Systems.” IEEE Transactions on Smart Grid 11, no. 4 (2020): 3008–18. doi:10.1109/TSG.2019.2962625.

Zheng, Weiye, Wanjun Huang, and David J. Hill. “A Deep Learning-Based General Robust Method for Network Reconfiguration in Three-Phase Unbalanced Active Distribution Networks.” International Journal of Electrical Power and Energy Systems 120 (2020). doi:10.1016/j.ijepes.2020.105982.

Gao, Yuanqi, Wei Wang, Jie Shi, and Nanpeng Yu. “Batch-Constrained Reinforcement Learning for Dynamic Distribution Network Reconfiguration.” IEEE Transactions on Smart Grid 11, no. 6 (2020): 5357–69. doi:10.1109/TSG.2020.3005270.

Li, Zihao, Wenchuan Wu, Boming Zhang, and Xue Tai. “Analytical Reliability Assessment Method for Complex Distribution Networks Considering Post-Fault Network Reconfiguration.” IEEE Transactions on Power Systems 35, no. 2 (2020): 1457–67. doi:10.1109/TPWRS.2019.2936543.

Phu-Ang, Ajchara. “An Improve Artificial Immune Algorithm for Solving the Travelling Salesman Problem.” In 2021 Joint 6th International Conference on Digital Arts, Media and Technology with 4th ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunication Engineering, ECTI DAMT and NCON 2021, 261–64, 2021. doi:10.1109/ECTIDAMTNCON51128.2021.9425773.

Zhang, Liangpei, Yanfei Zhong, and Pingxiang Li. “Applications of Artificial Immune Sysetms in Remote Sensing Image Classification.” In Proc. 20th Congress Int. Soc. for Photogrammetry and Remote Sensing, Vol. 35, 35:397–401. Sens., Istanbul, Turkey, (2004).

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DOI: 10.28991/esj-2021-01312


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