Impact of 2.5MW Solar Photovoltaic Generation on Distribution Networks: A Case Study of Nigerian Defence Academy 33/11kv Injection Substation

Asuquo Nsikak Etim, Adejoh Idris Araga, Fatai Olatunde Adunola, Yakubu Abdulrazak

Abstract


Distribution networks in Nigeria had suffered setback such as network losses and inadequate power injection into substations as compared with the net power delivered to the load. This study examines the impact of solar photovoltaic generation on distribution network of Nigerian Defence Academy 33/11KV injection substation. Distribution generation (DG) is to minimize the losses and improve voltage profile of the network. Solar Photovoltaic Generation (SPVG) is one of the DGs that is capable of supplying real and reactive power into an existing distribution network to increase its overall efficiency. The modelling of the power system network of the NDA 33k/11V and that of 2.5MW SPVG model were developed on PSAT. An optimal placement was implemented using Ant Colony Optimization (ACO) for optimal placement of DG. The performance of the developed system was evaluated using static and dynamic response analysis (current and voltage) as performance metrics. The simulation results when the DG was placed within the five (5) buses showed that the impact of the developed 2.5MW SPVG on the network obtained the active and reactive power losses of (0.1887, 0.1317, 0.0942, 0.0886p.u) and (0.3321, 0.2872, 0.2117, 0.1873pu) without the DG placement on the test network. When SPVG was optimally placed on the network, the active and reactive power loss became (0.0091, 0.0043, 0.0037, 0.0022pu) and (0.1413, 0.1222, 0.1077, 0.0810pu). This resulted in 7.00%, 31.57%, 27.81%, 96.38% and 55.90% improvement in steady state response analysis when compared to that without DG placement. Finally, when the techno-economic analysis was carried out using Net Profit Value (NPV) and Internal Rate of Return (IRR). DG installation provides greater savings or revenue due to reduced energy purchases and lower operating expenses. In terms of IRR DG installation has higher IRR of 42%, meaning it is financially more attractive than NEPA under the assumptions used. 


Full Text:

PDF

References


A. Harb et al., “Impact of Smart Inverters on Feeder Hosting Capacity of Distribution Networks,” IEEE Access, vol. 7, no. Irec, pp. 2–7, 2019, doi: 10.1109/ACCESS.2019.2952569.

H. Suyono, M. Shidiq, A. N. Ferdianzah, T. Utomo, I. Musirin, and L. J. Awalin, “Dynamic Stability Impact of the Hybrid Wind and Microhydro Renewable Energy Sources on the Distribution System,” 2018 Electr. Power, Electron. Commun. Control. Informatics Semin. EECCIS 2018, pp. 15–20, 2018, doi: 10.1109/EECCIS.2018.8692793.

J. H. C. Yong, J. Wong, Y. S. Lim, and J. H. Tang, “Assessment on various allocations of energy storages systems on radial distribution network for maximum PV systems penetration,” 2018 Int. Conf. Smart Grid Clean Energy Technol. ICSGCE 2018, pp. 89–94, 2018, doi: 10.1109/ICSGCE.2018.8556803.

A. A. Saleh, A. A. A. Mohamed, A. M. Hemeida, and A. A. Ibrahim, “Multi-Objective Whale Optimization Algorithm for Optimal Allocation of Distributed Generation and Capacitor Bank,” Proc. 2019 Int. Conf. Innov. Trends Comput. Eng. ITCE 2019, no. February, pp. 459–465, 2019, doi: 10.1109/ITCE.2019.8646352.

M. Z. Ul Abideen, O. Ellabban, and L. Al-Fagih, “A review of the tools and methods for distribution networks’ hosting capacity calculation,” Energies, vol. 13, no. 11, pp. 1–25, 2020, doi: 10.3390/en13112758.

A. B. Abdullahi, L. Olatomiwa, J. Tsado, and A. A. Sadiq, “Impact Assessment of Wheeling Renewable Distributed Generation to Residential Load,” Int. Conf. Electr. Comput. Energy Technol. ICECET 2021, no. December, pp. 9–10, 2021, doi: 10.1109/ICECET52533.2021.9698780.

M. S. Turiman, M. Khairun Nizam Mohd Sarmin, N. Saadun, M. F. Zamri, H. Ali, and Q. Mohammad, “Determination of Optimal Distributed Generation Penetration Level in Distribution Networks based on Normalized Impact Factor Score,” 2023 IEEE 3rd Int. Conf. Power Eng. Appl. Shap. Sustain. Through Power Eng. Innov. ICPEA 2023, no. March, pp. 274–278, 2023, doi: 10.1109/ICPEA56918.2023.10093149.

I. Dumancic, C. Tranchita, and J. Kluge, “Dynamic simulation of distribution power systems with distributed renewable generation,” 2021 IEEE PES/IAS PowerAfrica, PowerAfrica 2021, 2021, doi: 10.1109/PowerAfrica52236.2021.9543396.

R. Sastre, R. Demes, and J. Garcia, “Power Voltage Transformers for Renewable Energy Substations Auxiliary Services Supply,” 2019 IEEE PES GTD Gd. Int. Conf. Expo. Asia, GTD Asia 2019, pp. 643–648, 2019, doi: 10.1109/GTDAsia.2019.8715926.

G. A. Gomez-Ramirez, I. A. Luevano-Reyes, G. Mora-Jimenez, L. Garcia-Santander, M. Z. Laskano, and C. Meza, “Increasing Distribution Network Capacity through Storage in Central American Countries: A Case Study,” 2022 IEEE Int. Conf. Autom. Congr. Chil. Assoc. Autom. Control Dev. Sustain. Agric. Syst. ICA-ACCA 2022, no. October, 2022, doi: 10.1109/ICA-ACCA56767.2022.10006043.

M. Khasanov, S. Kamel, E. Halim Houssein, C. Rahmann, and F. A. Hashim, “Optimal allocation strategy of photovoltaic- and wind turbine-based distributed generation units in radial distribution networks considering uncertainty,” Neural Comput. Appl., vol. 35, no. 3, pp. 2883–2908, 2023, doi: 10.1007/s00521-022-07715-2.

A. Anwar and H. R. Pota, “Loss reduction of power distribution network using optimum size and location of distributed generation,” 2011 21st Australas. Univ. Power Eng. Conf. AUPEC 2011, no. August 2013, 2011.

Agbontaen Festus Osazee & Idiagi Neville Simon “Improving the Performance of a Deficient 11kV Distribution Network Using Distributed Generation,” Journal of Electrical Engineering, Electronics, Control and Computer Science –JEEECCS, Volume 8, Issue 27, pages 7-18, 2022

K. Anderson et al., “Integrating the Value of Electricity Resilience in Energy Planning and Operations Decisions,” IEEE Syst. J., vol. 15, no. 1, pp. 204–214, 2021, doi: 10.1109/JSYST.2019.2961298.


Refbacks

  • There are currently no refbacks.