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Enhancing Power Distribution Efficiency in Nigeria: Optimal Placement and Sizing of Solar Photovoltaics

BULUS, Stephen Kaka

Abstract

Nigeria’s power sector is plagued by chronic electricity shortages, high transmission losses, and an overdependence on fossil fuels, all of which hamper socio-economic development. With abundant solar irradiance across its regions, solar photovoltaic (PV) integration presents a viable alternative to improve power reliability and sustainability. However, improper placement and sizing of distributed solar units within distribution networks can result in voltage instability, reverse power flows, and inefficient system performance. This study investigates the optimal placement and sizing of solar PV units in Nigerian distribution systems to minimise power losses and improve voltage profiles. Using a selected radial distribution network representative of Nigeria’s 33 kV feeders, the study employs a load flow analysis coupled with a Particle Swarm Optimisation (PSO) algorithm to determine ideal locations and capacity ratings for PV units. The analysis considers practical constraints including voltage limits, load demands, and generation capacity bounds. Results indicate that strategic integration of solar PV at optimally identified buses significantly reduces total active power losses and improves voltage stability across the network. Specifically, losses were reduced by over 40% in the test scenario, while voltage deviations were maintained within acceptable limits. The findings further suggest that even modest penetration of solar PV can enhance distribution efficiency when correctly deployed. The study underscores the technical and economic viability of decentralised solar deployment in addressing Nigeria’s persistent electricity challenges. It recommends the incorporation of optimisation models in national energy planning and calls for regulatory support to facilitate distributed generation. Future research may extend the model to include energy storage systems and time-varying load dynamics for more robust planning. This re

Keywords

Solar PhotovoltaicsDistribution Network OptimisationParticle Swarm

References

Acharya, N., Mahat, P. and Mithulananthan, N. (2006). An analytical approach for DG allocation in primary distribution network. International Journal of Electrical Power & Energy Systems, 28(10), pp.669–678. Aliyu, A.S., Modu, B. and Tan, C.W. (2018). A review of renewable energy development in Africa: A focus in South Africa, Egypt and Nigeria. Renewable and Sustainable Energy Reviews, 81, pp.2502–2518. Bansal, R.C., Bhatti, T.S. and Kothari, D.P. (2011). Power Quality Enhancement Using Custom Power Devices. Springer. Chiradeja, P. and Ramakumar, R. (2004). An approach to quantify the technical benefits of distributed generation. IEEE Transactions on Energy Conversion, 19(4), pp.764–773. Ebhota, W.S. and Inambao, F.L. (2016). Prospects of renewable energy in Nigeria. International Journal of Renewable Energy Research, 6(4), pp.1349–1365. Gupta, N. and Ranjan, R. (2013). Optimal sizing and placement of distributed generation in distribution system using Genetic Algorithm. International Journal of Engineering Research and Applications, 3(4), pp.1115–1120. Olatunde, K.E. and Salihu, M. (2019). Optimal placement and sizing of distributed generation in a distribution system: A case study of selected feeders in Nigeria. Nigerian Journal of Technology, 38(1), pp.20–27. Okonkwo, E.C., Olayemi, E. and Emetere, M.E. (2020). Technical and economic analysis of PV integration in Nigerian distribution network. Energy Reports, 6, pp.587–595. Omorogiuwa, O. and Ogujor, E.A. (2015). Voltage profile improvement using distributed generation in radial distribution system. Nigerian Journal of Technology, 34(2), pp.333–341. Singh, D., Rajpurohit, B.S. and Gupta, P. (2014). Improvement of voltage profile and reduction of losses in distribution system using optimal placement of DG. International Journal of Electrical Power and Energy Systems, 61, pp.605–614. Sule, B.F. (2010). An analysis of the power sector performance in Nigeria. International Journal of Engineering Science and Technology, 2(5), pp.980–988. Tina, G.M., Gagliano, S. and Ventura, C. (2012). Optimal siting and sizing of photovoltaic distributed generation by using a hybrid metaheuristic approach. Solar Energy, 86(10), pp.3077–3091. Zhu, J. (2015). Optimization of Power System Operation. 2nd ed. Wiley-IEEE Press.

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