Optimized Siting and Sizing of DG in a HESCO Feeder using Particle Swarm Optimization

Shahbaz Ahmed Soomro, Mahesh Kumar Rathii, Syed Hadi Hussain, Zubair Ahmed Memon


Power system is a radial distribution system comprising large number of nodes and branches. Especially in Pakistan, large network causes power loss and voltage drop due to outdated infrastructure. Distributed Generation is one of the emerging solutions to compensate the load demand along with improvement in power quality and voltage profile of electrical power system. Although, proper placement and sizing of DG is still a challenging situation in power system as improper placement and sizing may bring the network more sever situation. This paper analyses a real time 11 kV radial distribution network of HESCO. An artificial intelligence technical named PSO is utilized to identify the optimal placement and size for DG integration. The proposed technique resulted as very effective for reduction in power loss with fast convergence.

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Angarita, O.F.B., et al. Power loss and voltage variation in distribution systems with optimal allocation of distributed generation. in 2015 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT LATAM). 2015. IEEE.

SAHITO, A., et al., Unbalanced Loading; An Overlooked Contributor to Power Losses in HESCO. Sindh University Research Journal-SURJ (Science Series), 2015. 47(4).

Kumar, M., P. Nallagownden, and I. Elamvazuthi, Optimal placement and sizing of renewable distributed generations and capacitor banks into radial distribution systems Energies, 2017. 10(6): p. 811.

Davda, A.T., et al., Dispersed generation enable loss reduction and voltage profile improvement in distribution network—Case study, Gujarat, India. IEEE Transactions on Power Systems, 2013. 29(3): p. 1242-1249.

Sahito, A., et al., Voltage Profile Improvement of Radial Feeder through Distributed Generation. Sindh University Research Journal-SURJ (Science Series), 2016. 48(3).

Rupa, J.M. and S. Ganesh, Power flow analysis for radial distribution system using backward/forward sweep method. International Journal of Electrical, Computer, Electronics and Communication Engineering, 2014. 8(10): p. 1540-1544.

Ghanghro, S., et al., Network Reconfiguration for Power Loss Reduction in Distribution System. Sindh University Research Journal-SURJ (Science Series), 2016. 48(1).

Adnan, S., et al., Solar energy potential in Pakistan. Journal of Renewable and Sustainable Energy, 2012. 4(3): p. 032701.

Mahmud, M.A., M.J. Hossain, and H.R. Pota, Voltage variation on distribution networks with distributed generation: Worst case scenario. IEEE Systems Journal, 2013. 8(4): p. 1096-1103.

Sahito, A.A., et al., Analyzing the impacts of distributed generation integration on distribution network: A corridor towards smart grid implementation in Pakistan. Wireless Personal Communications, 2015. 85(2): p. 545-563.

Mahesh Kumar, P.N., Irraivan Elamvazuthi, Optimal Placement and Sizing of Renewable Distributed Generations and Capacitor Banks into Radial Distribution Systems. Energies, 2017.

Vita, V., Development of a decision-making algorithm for the optimum size and placement of distributed generation units in distribution networks. Energies, 2017. 10(9): p. 1433.

Mari, M.A., et al., Analyzing the Impacts of Solar PV Generation Integration on Radial Distribution Feeder International Journal of Computer Science and Information Security 2018. 16(1).

SAHITO, A., et al., Distribution System Power Loss Reduction through Distributed Generation. Sindh University Research Journal-SURJ (Science Series), 2017. 49(1).

Harijan, K., M.A. Uqaili, and U.K. Mirza, Assessment of solar PV power generation potential in Pakistan. Journal of Clean Energy Technologies, 2015. 3(1): p. 54-56.

Irfan, M., et al., Solar Energy Development in Pakistan: Barriers and Policy Recommendations. Sustainability, 2019. 11(4): p. 1206.

Muhammad, F., et al., Different solar potential co-ordinates of Pakistan. Innovative Energy & Research, 2017. 6(2).

Kamran, M., Current status and future success of renewable energy in Pakistan. Renewable and Sustainable Energy Reviews, 2018. 82: p. 609-617.

Mahmoud, K., N. Yorino, and A. Ahmed, Optimal distributed generation allocation in distribution systems for loss minimization. IEEE Transactions on Power Systems, 2015. 31(2): p. 960-969.

Shahbaz Ahmed, M.K., Abdul Hakeem, Zubair Ahmed Memon, Anwar Ali Sahito, Aamir Mahmood Soomro, Analysis of a radial distribution network and mitigating losses by strategic allocation of Distributed Generation. International Journal of Computer Science and Network Security, 2019. 19(3): p. 157-161.

Juneja, M. and S. Nagar. Particle swarm optimization algorithm and its parameters: A review. in 2016 International Conference on Control, Computing, Communication and Materials (ICCCCM). 2016. IEEE.

Badar, A., B. Umre, and A. Junghare, Study of artificial intelligence optimization techniques applied to active power loss minimization. IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) e-ISSN, 2014: p. 2278-1676.23.

Kumar Mahesh, P.N., Irraivan Elamvazuthi, Optimal Configuration of DG in Distribution System: An Overview, in MATEC Web of Conferences. 2016, EDP Sciences


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