A Compact Review on the Impacts of Integration of Large-Scale Renewable Energy Sources into Grid-Connected Power Systems

Abstract:

Consequent upon the inestimably magnificent rise in the necessity to considerably minimize the worrisome menace of global dependency on fossil fuels (such as coal, oil and gas), combat the pollution caused by green house gas emission emanating from same and lead a crusade against energy insecurity; the renewable energy sources (RES) became a panacea to the incessant imbalance between the ever- increasing demand and meagre supply of energy throughout the entire universe. Nevertheless, the output of RES is characterized with some unpleasant traits which include intermittency coupled with variability and unpredictability since it is largely constrained by annual weather pattern thereby inflicting a very severe injury on transient and steady state stability, reliability and profitability index. Thus, the certainty that this attributes do not only possess a gigantic capability to render synchronization futile but also initiate regular system collapse in the grid network cannot be over-emphasized, especially if the necessary precautionary measures are not taken into consideration. Therefore, this research work provides a compact review on the impacts of integration of large scale renewable energy sources into grid-connected power system. The methodology would involve an elucidative investigation of the associated benefits and obstacles after which possible mitigations to the challenges are accorded an extensive analysis while useful inferences are drawn meticulously leading to qualitative conclusions and useful recommendations from the results and findings so obtained.

• Periodical: Applied Mechanics and Materials (Volume 932)
• Pages: 125-138
• DOI: https://doi.org/10.4028/p-rF1DZs
• Online since: February 2026
• Authors: Ayodiran Oluwatosin Banjoko*, Adegoke Oladipo Melodi, Michael Rotimi Adu
• Keywords: Advanced Forecasting, Energy Security, Energy Storage, Grid Flexibility, Instability, Intermittency, Renewable Energy, Smart Grid System

References

[1] BP (2024),: British Petroleum (2024). Statistical Review of World Energy, London, United Kingdom, June, 2024. Vol. 4, Issue 2, pp.3-4.

[2] Breyer, C.; Lopez, G.; Bogdanov, D. and Laaksonen, P. (2024). The role of electricity-based Hydrogen in the emerging power-to-X economy. An International Journal of Hydrogen Energy 2024, 49, 351–359.

DOI: 10.1016/j.ijhydene.2023.08.170

[3] Graham, E., Fulghum, N. and Altieri, K; (2025). Global Electricity Review (EMBER 2025). An International Journal of Energy. Pp 32.

[4] Adepoju, G. A. and Komolafe, O. A. (2011). Analysis and Modelling of Static Synchronous Compesator (STATCOM). An International Journal of Applied Science and Technology, Vol. 36, iss. 105, pp.68-70.

[5] Adetokun, B. B. And Morintth, C. M. ( 2021), Impacts Of Integration Of DFIG- Based Wind Energy Conversion System on Voltage Stability of Weak National Grids: Nigeria, A Case Study. An internatiomal Journal on Energy Reports, Vol. 7, pp.654-666.

DOI: 10.1016/j.egyr.2021.01.025

[6] Ahmadi-Ahangar, R.; Plaum, F.; Haring, T.; Drovtar, I.; Korotko, T. and Rosin, A. (2024). Impacts of grid-scale battery systems on power system operation, case of Baltic region. IET Smart Grid 2024, 7, 101–119.

DOI: 10.1049/stg2.12142

[7] Ahmad, T.; Saha, S.; Arif, M.T.; Haque, M.E.; Mendis, N.; Oo, A.M. (2020). Impacts of grid integration of Solar PV and Electric Vehicle on grid stability, power quality, and Energy Economics: A Review. IET Energy Syst. Integr. 2020, 2, 243–260.

DOI: 10.1049/iet-esi.2019.0047

[8] Akinsooto, O.; Ogundipe, O.B. and Ikemba, S. (2024). Regulatory policies for enhancing grid stability through the integration of renewable energy and battery energy storage systems (BESS). International Journal of Frontline Research Revolution. 2024, 2, 022–044.

DOI: 10.56355/ijfrr.2024.2.2.0023

[9] Aykut, E. and Alshuraida, I.(2024). Grid Integration Strategies for Optimizing Renewable Energy Deployment and Grid Resilience. Balk. J. Electr. Comput. Eng. 2024, 12, 247–254.

DOI: 10.17694/bajece.1529149

[10] Ayodele, T. R., Ogunjuyigbe, A. S. Oladele, O. O. (2016). Improving the Transient Stability of Nigerian 330kV Transmission Network Using SVC. Nigerian Journal of Technology. Vol. 35, Issue 1, pp.157-163.

DOI: 10.4314/njt.v35i1.23

[11] Barbosa, C. R. H., Sousa, M. C., Almeida, M. F. L., & Calili, R. F. (2022). Smart Manufacturing and Digitalization of Metrology: A Systematic Literature Review and a Research Agenda. Sensors, 22(16).

DOI: 10.3390/s22166114

[12] Beck, T. R., Antohe, A., Cardellini, F., Cucoş, A., Fialova, E., Grossi, C., Hening, K., Jensen, J., Kastratović, D., Krivošík, M., Lobner, P., Luca, A., Maringer, F. J., Michielsen, N., Otahal, P. P. S., Quindós, L., Rábago, D., Sainz, C., Szűcs, L., … Wołoszczuk, K. (2021). The metrological traceability, performance and precision of european radon calibration facilities. International Journal of Environmental Research and Public Health, 18(22).

DOI: 10.3390/ijerph182212150

[13] Center for Democracy and Development (2020) A Review of the Power Sector in Nigeria https://media.africaportal.org/documents /A_review_of_the_power_sector_in_Nigeria.pdf.

[14] Chineke, T., & Igwiro, E. (2008). Urban and rural electrification: enhancing the energy sector in Nigeria using photovoltaic technology. African Journal of Science and Technology, Vol. 9, issue 1. PP 103-107.

[15] Dahunsi, F., Melodi, A.O., Oyinlola-Abdullateef, A.O. and Ponle, A.A. (2022). Smart Grid Systems in Nigeria: Prespects, Issues, Challenges and Way Forward, Fuoye Journal of Engineering and Technology.

DOI: 10.46792/fuoyejet.v7i2.781

[16] Daly, J.; Zheng, L.; Xuan, M.; Yang, Y.; De Rosa, M. and Pallonetto, F. (2023). Comparative Analysis of Forecasting Techniques for Electricity Wholesale Price Under High Penetration of Renewable Energy Systems. Institute of Engineering and Technology (IET) Conference Procedings, Vol. 2022, iss. 25.

DOI: 10.1049/icp.2023.0046

[17] Desphande, M. V. (2015). Elements of Electrical Power Station Design. A text book On Power System Technology. p.148.

[18] Emodi, N. V. (2016). Energy Policies for Sustainable Development Strategies: The Case of Nigeria (illustrated). Singapore: Springer Singapore.

[19] Egila, A. E. and Diugwu, I. (2017). An Assessment of Renewable Energy Impact on Economic Development in Nigeria, International Engineering Conference (IEC, 2017), Federal University of Technology, Minna.

[20] Golombek, R.; Lind, A., Ringkjob, H. and Seljom, P. (2022). The Role of Transmission and Energy Storage in European decarbonisation towards 2050. Energy. Vol, 239, part C., 122159.

DOI: 10.1016/j.energy.2021.122159

[21] Gao, H.; Jin, T.; Feng, C.; Li, C.; Chen, Q. and Kang, C. (2024). Review of virtual power plant operations: Resource coordination and multidimensional interaction. Appl. Energy 2024, 357, 122284.

DOI: 10.1016/j.apenergy.2023.122284

[22] Okoro, O., & Chikuni, E. (2007). Power sector reforms in Nigeria: opportunities and challenges. Journal of Energy in Southern Africa, 18(3), 52-57.

DOI: 10.17159/2413-3051/2007/v18i3a3386

[23] Gunnarsdottir, B. Davidsdottir, E. Worrell, S. Sigurgeirsdottir, I. (2021). Sustainable Energy Development, History of the Concept and Emerging Themes. A Journal on Sustainable Energy Development. Vol.141.

DOI: 10.1016/j.rser.2021.110770

[24] Guerra, C., Ospino, A. and Pena, R. (2023). Analysis of Impacts of Integrating Variable Renewable Energy into the Power System in the Colombian Caribbean Region.. an international Journal on Energy Report. Iss. 16, vol. 21, p.7260.

DOI: 10.3390/en16217260

[25] Hannah, R., Max, R. and Pablo, R. (2020). Renewable Energy. International Journal Publishrd Online at OurworldInData.org.

[26] IEA (2024), Global Electricity Generation by Source, 2014-2025, IEA, Paris https://www.iea.org/data-and-statistics/charts/global-electricity-generation-by-source-2014-2025, Licence: CC BY 4.0.

DOI: 10.1787/data-00457-en

[27] Itodo, E. S. (2019). Technical and Economic Feasibility Assessment of Power Supply to Passive Zones of Nigeria's Power Transmission Grid. A Dissertation in the Department of Electrical and Electronic Engineering, the Federal University of Technology, Akure. pp.5-12.

[28] Jang, S.Y.; Oh, B.T.; Oh, E. (2024). A Deep Learning-Based Solar Power Generation Forecasting Method Applicable to Multiple Sites. Sustainability 2024, 16, 5240.

DOI: 10.3390/su16125240

[29] Javed, M.S., Jurasz, J., Guezgouz, M., (...), Ruggles, T.H. and Ma, T. (2023). Impact of multi-annual renewable energy variability on the optimal sizing of off-grid systems.

DOI: 10.1016/j.rser.2023.113514

[30] Carrasco, J. M., Franquelo, L. G., Bialasiewicz, J. T., Galvan, E., Guisado, R. C. P., Prats, A. M., leon, J. I. and Moreno-Alfonso, N. (2006). PowerElectronic Systems for the Grid Integration of Renewable Energy Sources: A Survey, IEEE Journal of Trans. Ind. Electron., vol. 53, issue no. 4, pp.1008-1014.

DOI: 10.1109/tie.2006.878356

[31] Joshi, M. and Inskeep, S. (2023) Institutional Framework of Variable Renewable Energy forecasting in India; National Renewable Energy Laboratory (NREL): Golden, CO, USA, 2023.

DOI: 10.2172/1985623

[32] Juma, D., Munda, J. and Kabir, K. (2023). Power-System Flexibility: A Necessary Complement to Variable Renewable Energy Optimal Capacity Configuration. An international Journal of Energies, vol. 16, iss. 21, pp.1-6.

DOI: 10.3390/en16217432

[33] Komolafe, O. A, Momoh, A. and Omoigui, M. O. (2003). Reliability Investigation of the Nigerian Electric Power Authority Transmission Network in a Deregulated Environments. Conference Record of the IEEE Industry applications conference Vol. 2, Pp. 1328-1335.

DOI: 10.1109/ias.2003.1257723

[34] Kumar, R., Diwania, S., Singh, R., Ashfaq, H., Khetrapal, P. and Singh, S. (2022). An intelligent Hybrid Wind–PV farm as a static compensator for overall stability and control of multi-machine power system. An international Journal of ISA. Vol. 123. pp.287-291.

DOI: 10.1016/j.isatra.2021.05.014

[35] Liu, J.; Hu, H.; Yu, S.S. and Trinh, H. (2023). Virtual Power Plant with Renewable Energy Sources and Energy Storage Systems for Sustainable Power Grid-Formation, Control Techniques and Demand Response. An international Journal of Energies 2023, 16, 3705.

DOI: 10.3390/en16093705

[36] Lin, Y., Eto, J. H. and Johnson, B.B. (2020). Research Roadmap on Grid-Forming Inverters; National Renewable Energy Laboratory: Golden, CO, USA, 2020.

[37] Marinakis, V. (2020). Big data for energy management and energy-efficient buildings. Energies, 13(7).

DOI: 10.3390/en13071555

[38] Majidi, H.; Hayati, M. M.; Breyer, C.; Mohammadi-Ivatloo, B.; Honkapuro. S., Karjunen, H., Laaksonen, P. And Sihvonen, V. (2025). Overview of energy modeling requirements and tools for future smart energy systems. An International Journal of Renewable and Sustainable Energy Review, (2925), Vol. 212, 115367.

DOI: 10.1016/j.rser.2025.115367

[39] Melodi, A.O. (2009). Analysis of Generating Capacity Dynamics of the Nigerian Power System between 1963 and 2020, Advanced Materials Research (Vols. 62-64), pp.114-119.

DOI: 10.4028/www.scientific.net/amr.62-64.114

[40] Peterssen, F., Schlemminger , M; Lorh, C., Niepetle. R., Hanke-Rauschenbach, R. And Brendel, R. (2024). Impact of forecasting on energy system optimization. An International Journal of Advances in Applied Energy. Vol. 15., 10018.

DOI: 10.1016/j.adapen.2024.100181

[41] Shahzad, S.and Jasi´nska, E. (2024). Renewable Revolution: A Review of Strategic Flexibility in Future Power Systems. Sustainability 2024, 16, 5454.

DOI: 10.3390/su16135454

[42] Teferi, T. G., Tella, T. G. and Hampannavar, S. (2024). Impacts of Large Scale Renewable Energy Integration on the Grid Voltage Stability, An International Journal of Electrical Power and Energy Systems, Vol.23, Issue 1, Pp. 1-4.

DOI: 10.1016/j.rineng.2024.102398

[43] Vedurmudi A. P., Neumann, J., Gruber, M., & Eichstädt, S. (2021). Semantic description of quality of data in sensor networks. Sensors, 21(19).

DOI: 10.3390/s21196462

[44] Gonzales, Roberto; Lopez, Jesus; Sanchis, Pablo and Marroyo, Lui (2004). Transformerless Inverter for SinglePhase Photovoltaic Systems. IEEE Journal of Trans Power Electron., vol. 22, issue no. 2, pp.694-696.

DOI: 10.1109/tpel.2007.892120

[45] Okakwu, I. K., Ogujor, E. A. and Oriaifo, P. A. (2017). Load Flow Assessment of the Nigerian 330kV Power System. American Journal of Electrical and Electronic Engineering. Vol. 5, Issue 4. pp.155-161.

[46] Oluseyi, P.O., Adelaja, T.S. and Akinbulire, T.O. (2017). Analysis of The Transient Stability Limit of the Nigeria 330kV Transmission Sub-network. Nigerian Journal of Technology. Vol. 36, Issue 1, pp.213-216.

DOI: 10.4314/njt.v36i1.26

[47] Onimisi, J.O., Melodi, A.O. and Adu, M.R. (2024). Modelling Steady State and Transient Stability Parameters for Kainji Hydro Station, Nigeria. Advanced Engineering Forum, Vol. 52, pp.117-128.

DOI: 10.4028/p-p7snnz

[48] Saadat, H. (1998). Power System Analysis (Second Ed.). McGraw-Hill Inc., New York, The United States of America. p.46.

[49] Adetokun, B.B.; Ojo, J.O and Muriithi, C.M (2021). Application of large-scale grid-connected solar photovoltaic system for voltage stability improvement of weak national grids. Sci. Rep. 2021, 11, 24526.

DOI: 10.1038/s41598-021-04300-w

[50] Yusuf, F.L. (2024). Impact of Solar Energy on Nigeria's Electricity Supply Challenges. In: Yunusa-Kaltungo, A. (eds) Key Themes in Energy Management. Lecture Notes in Energy, vol 100. Springer, Cham.

DOI: 10.1007/978-3-031-58086-4_6

[51] Zaheb, H, Ahmadi, M., Rahmany, N. A., Danish, S. S., Fedayi, H. and Yona, A. (2023). Optimal Grid Flexibility Assessment for Integration. An International Journal on Sustainability. Vol. 15, iss. 20. p.15,032 – 15,201.

DOI: 10.3390/su152015032

[52] Min, C. G. (2019). Analyzing the Impact of Variability and Uncertainty on Power System Flexibility. Appl. Sci. 2019, 9, 561.

[53] Shaikh, R.A., Vowles, D.J., Dinovitser, A., Allison, A. and Abbott, D. (2024). Flexibility options in a 100% renewable grid for Australia.

[54] GrochowicZ, A., Benth, F. E. and Zeyringer, M. (2024). Spatio-temporal Smoothing and Dynamics of Different Electricity Flexibility Options for Highly Renewable Energy Systems Taking the National Grid for Norway as a Case Study. An International Journal of Applied Energy, Elsevier. Vol. 356 (C).

DOI: 10.1016/j.apenergy.2023.122338

[55] Melodi, A. O. and Oladeji, I. R. (2017). Modelling Steady State Stability Reserve for Specific Nigerian Power Transmission Grid. Institute of Electrical and Electronic Engineering Third International Conference on Electro-Technology for National Development (NIGERCON) (Pp. 967-972).

DOI: 10.1109/nigercon.2017.8281962

[56] Ogbuefi, V. C. and Madueme, T. C. (2015). Power Flow Analysis of the Nigerian 330kV Electric Power System 10SR Journal of Electrical and Electronics Engineering (10SR-JEEE) Pp. 46-57.

[57] Mohit, J. and Sarah, I. (2023) Institutional Framework of Variable Renewable Energy Forecasting in India. South Asian Group for Energy (SAGE). Contract No IAG-22-22059 in Conjunction with National Renewable Energy Laboratory (NREL), Operated By Alliance For Sustainable Energy, LLC, For the US Department of Energy (DOE). Contract No. DE-AC36-08GO28308.

DOI: 10.2172/983411

[58] Frede Blaabjerg, Zhe Chen. and Soren Baekhoej Kjaer (2004). Power Electronics as Efficient Interface in Dispersed Power Generation Systems. IEEE Journal of Trans. Power Electron.,vol. 19, issue no. 5, pp.1187-1192.

DOI: 10.1109/tpel.2004.833453

[59] Singh, A.R.; Kumar, R.S.; Bajaj, M.; Khadse, C.B.; Zaitsev, I. (2024). Machine learning-based energy management and power forecasting in grid-connected microgrids with multiple distributed energy sources. Sci. Rep. 2024, 14, 19207.

DOI: 10.1038/s41598-024-70336-3

[60] Melodi, A.O., Adu, M.R. and Aremu, S.O (2024). Evaluation of Nigerian Transmission Grid Capacity and Technical Limitations Under Different Load Conditions.

DOI: 10.4028/p-cx4gcx

[61] Yang, R.; Hu, J.; Li, Z.; Mu, J.; Yu, T.; Xia, J.; Li, X.; Dasgupta, A.; Xiong, H. (2024). Interpretable machine learning for weather and climate prediction: A review. Atmos. Environ. 2024, 338, 120797.

DOI: 10.1016/j.atmosenv.2024.120797

[62] Shomoye, O. A. (2023). Energy Crises and The Renewable Energy Potentials in Nigeria : A Review. An international Journal of Renewable and Sustainable Energy Reviews, Science Direct, 2023. Vol. 188, p.113794.

DOI: 10.1016/j.rser.2023.113794

[63] Sule, A. H. (2010). Major Factors Affecting Electricity Generation, Transmission and Distribution in Nigeria. International Journal of Engineering and Mathematical Intelligence. Vol. 1. Issue 2. pp.160-162.

[64] Sun, R., Xiao, H. F., Niu, C. H., Cao, Q. W., & Yao, Z. Y. (2022). National Quality Infrastructure System and Its Application Progress in Photovoltaic Industry. Electronics (Switzerland), 11(3).

DOI: 10.3390/electronics11030426

[65] Tahir, H. (2024). Optimization of energy storage systems for integration of renewable energy sources — A bibliometric analysis. An International Journal of Energy Storage. Vol. 94, 11247.

DOI: 10.1016/j.est.2024.112497

[66] United Nations Conference on Trade and Development. (2010). The Future Energy Matrix and Renewable Energy - Implications for Energy and Food Security. Paper presented at the United Nations Conference on Trade and Development – Multi Year Expert Meeting on Commodities and Development (Second Session), Geneva.

DOI: 10.18356/c0deff39-en

[67] Urbano, O., Perles, A., Pedraza, C., Rubio-Arraez, S., Castelló, M. L., Ortola, M. D., & Mercado, R. (2020). Cost-effective implementation of a temperature traceability system based on smart rfid tags and iot services. Sensors (Switzerland), 20(4).

DOI: 10.3390/s20041163

[68] Weerasekara, S., Lu, Z., Ozek, B., Isaacs, J., & Kamarthi, S. (2022). Trends in Adopting Industry 4.0 for Asset Life Cycle Management for Sustainability: A Keyword Co-Occurrence Network Review and Analysis. Sustainability (Switzerland), 14(19).

DOI: 10.3390/su141912233

[69] Sambo, A. S., Iloeje, O. C. J., Ojosu, O. J., Olayande, S., & Yusuf, A. O. (2006). Nigeria's Experience on the Application of IAEA" s Energy Models (MAED & WASP) for National Energy Planning. Paper presented at the Workshop on Exchange of Experience in Using IAEA's Energy Models and Assessment of Further Training Needs, Korea Atomic Energy Research Institute, Daejeon, South Korea.

[70] Shafiullah, M.; Ahmed, S.D. and Al-Sulaiman, F.A. (2022). Grid Integration Challenges and Solution Strategies for Solar PV Systems: A Review. IEEE Access 2022, 10, 52233–52257.

DOI: 10.1109/access.2022.3174555

[71] Olu-lawal, A. K.; Olajiga, O. K.; Ani, E. C.; Adeleke, A. K. & Montero, D. J. P. (2024). the Role of Precision Metrology in Enhancing Manufacturing Quality: a Comprehensive Review. Engineering Science & Technology Journal, 5(3), 728–739.

DOI: 10.51594/estj.v5i3.868

[72] Vasilevskyi, O. M. (2014). Calibration method to assess the accuracy of measurement devices using the theory of uncertainty. International Journal of Metrology and Quality Engineering, 5(4).

DOI: 10.1051/ijmqe/2014017

[73] Paul, K., Jyothi, B, Kumar, R. S., Singh, A. R., Bajaj, M., Kumar, B. H. & Zaitsev, L. (2025). Optimizing sustainable energy management in grid connected micro-grids using quantum particle swarm optimization for cost and emission reduction. An international journal of Energy.

DOI: 10.1038/s41598-025-90040-0

[74] Newsom, C. (2012). Renewable Energy Potential in Nigeria: Low-carbon approaches to tackling Nigeria's energy poverty. UK: International Institute for Environment and Development (IIED).

[75] Liu, Z.; Sun, Y.; Xing, C.; Liu, J., He, Y.; Zhou, Y. and Zhang, G. (2022). Artificial Intelligence Powered Large Scale Renewable Energy Integrations In Mult-Energy Systems for Carbon Neutrality Transitions: Challenges and Future Perspectives. An international Journal on Energy and AI, Vol. 10, 100195.

DOI: 10.1016/j.egyai.2022.100195