Cost-benefit analysis of wind power integra-tion in distribution networks
DOI:
https://doi.org/10.17159/2413-3051/2022/v33i1a9344Abstract
The capacity of power generation note needs to be increased globally, owing to population growth and industrial revolution. The conventional power plant across the world is inadequate to satisfy growing power demand. By optimally sizing and designing the clusters of renewable energy sources such as wind, microgrid operators can economically and environmentally sustainably provide a clean power solution that can increase the supply of electricity. Wind power (WP) generation can be utilised to reduce the stress on the power plants by minimising the peak demands in constrained distribution networks. Benefits of WP include increased energy revenue, increased system reliability, investment deferment, power loss reduction, and environmental pollution reduction. These will strengthen the performance of the power system and bring economic value to society. Moreover, many challenges are considered when integrating WP into the distribution system. These include protection device miscoordination, fundamental changes in the network topology, transmission congestion, bidirectional power flow, and harmonic current injections. In this paper, the economic cost and benefit analysis of optimal integration of WP into the distribution networks is investigated through a multi-objective analytical method. The aim is to see whether investment in the WP project is economically profitable and technically viable in the distribution system. The results obtained from the study can be utilised by power system operators, planners and designers as criteria to use WP for stimulating economic development and industrial revolution and can allow independent power producers to make appropriate investment decisions.
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References
Abri, R. S. A., El-Saadany E. F. and Atwa, Y. M. 2013. Optimal placement and sizing method to improve the voltage stability margin in a distribution system using distributed generation. IEEE Transactions on Power Systems, 28(1):326–34. DOI: https://doi.org/10.1109/TPWRS.2012.2200049
Acharya, N., Mahat, P. and Mithulananthan, N. 2006. An analytical approach for DG allocation in primary distribu-tion network. International Journal of Electrical Power & Energy Systems, 28:669–78. https://doi.org/10.1016/j.ijepes.2006.02.013. DOI: https://doi.org/10.1016/j.ijepes.2006.02.013
Adefarati, T. and Bansal, R. C. 2016. Integration of renewable distributed generators into the distribution system: a review. IET-Renewable Power Generation, 10 (7): 873-884. DOI: 10.1049/iet-rpg.2015.0378. DOI: https://doi.org/10.1049/iet-rpg.2015.0378
Adefarati, T. and Bansal, R. C. 2019. Energizing renewable energy systems and distributed generation. In pathways to a smarter power system. Academic Press, Elsevier: 29-65. DOI:10.1016/C2017-0-03015-X. DOI: https://doi.org/10.1016/B978-0-08-102592-5.00002-8
Adefarati, T. and Bansal, R. C. 2019. Reliability, economic and environmental analysis of a microgrid system in the presence of renewable energy resources. Applied Energy, 236: 1089-1114. DOI: 10.1016/j.apenergy.2018.12.050. DOI: https://doi.org/10.1016/j.apenergy.2018.12.050
Adefarati, T. and Bansal, R.C. 2017. Reliability and economic assessment of a microgrid power system with the integration of renewable energy resources. Applied Energy, 206: 911-933. DOI: 10.1016/j.apenergy.2017.08.228. DOI: https://doi.org/10.1016/j.apenergy.2017.08.228
Adefarati, T. and Bansal, R. C. 2017. Impacts of PV-wind-diesel-electric storage hybrid system on the reliability of a power system. Energy Procedia, 105: 616-621. DOI: https://doi.org/10.1016/j.egypro.2017.03.364
Adefarati, T. and Bansal, R. C. 2017. Reliability and economic evaluation of a micro grid power system. Energy Pro-cedia, 142: 43-48. DOI: https://doi.org/10.1016/j.egypro.2017.12.008
Almasabi, S., Sulaeman, S., Nguyen, N. and Mitra, J. 2017. Cost Benefit Analysis for Wind Power Penetration. In Proc. IEEE North American Power Symposium (NAPS), Morgantown, WV, USA, 16th November, 2017. DOI: 10.1109/NAPS.2017.8107316. DOI: https://doi.org/10.1109/NAPS.2017.8107316
Aman, M. M., Jasmon, G. B. Bakar, A. H. A. Mokhlis, H. 2014. A new approach for optimum simultaneous multi-DG distributed generation units placement and sizing based on maximisation of system loadability using HPSO (hy-brid particle swarm optimisation) algorithm. Energy, 66:202–15. DOI: https://doi.org/10.1016/j.energy.2013.12.037
Atwa, Y. M., El-Saadany, E. F., Salama M. M. A. and Seethapathy. R. 2010. Optimal renewable resources mix for dis-tribution system energy loss minimisation. IEEE Transactions on Power Systems, 25(1): 360–70. DOI: https://doi.org/10.1109/TPWRS.2009.2030276
Azarousal, M., Ouassaid, M. and Maaroufi, M. 2021. Optimal energy flow management of a grid-tied photovoltaic-wind-battery system considering cost, reliability and CO2 emission. International Journal of Photoenergy, 2021:1-20. DOI: https://doi.org/10.1155/2021/5591456
Azarousal, M., Ouassaid, M. and Maaroufi, M. Optimal control for energy dispatch of a smart grid tied PV-wind-battery hybrid power system. 2019. Third International conference on Intelligent Computing in Data Sciences (ICDS), 28-30th Oct. 2019, Marrakech, Morocco. DOI: https://doi.org/10.1109/ICDS47004.2019.8942362
Bansal, R. C. 2017. Handbook of Distributed Generation: Electric Power Technologies, Economics and Environmental Impacts, Springer, Cham, Switzerland. DOI: 10.1007/978-3-319-51343-0. DOI: https://doi.org/10.1007/978-3-319-51343-0
Bansal, R. C., Bhatti, T. S. and Kothari, D. P. 2001. Some aspects of grid connected wind electric energy conversion systems. Interdisciplinary Journal of Institution on Engineers (India), 82 (1): 25-28.
Bansal, R.C. and Bhatti, T. S. 2008. Small Signal Analysis of Isolated Hybrid Power Systems: Reactive Power and Fre-quency Control Analysis. Alpha Science International, Oxford, U.K.
Bansal, R. C. Bhatti, T. S. and Kumar. V. 2007. Reactive power control of autonomous wind-diesel hybrid power sys-tems using ANN. Proc. 8th International Power Engineering Conference (IPEC), Singapore, 3rd to 6th December, 2007. 1376-1381.
Basso, T. S. and DeBlasio, R. 2004. IEEE 1547 series of standards: Interconnection issues. IEEE Transactions on Power Electronics, 19 (5): 1159–1162. DOI: 10.1109/TPEL.2004.834000. DOI: https://doi.org/10.1109/TPEL.2004.834000
Bie, P., Zhang, B., Deng, W., Luo, Y., Zhao, S., Li, M., Zeng, Y., Guojun, L., Yong, W. and Guoyan, C. 2016. Economic benefits evaluating of wind power integration considering transmission congestion. Clemson University Power Systems Conference (PSC), Clemson, SC, USA, 8th to 11th March, 2016. DOI: 10.1109/PSC.2016.7462830. DOI: https://doi.org/10.1109/PSC.2016.7462830
Chen, H., Jiang, X., Yu, Y. and Wu, Y. 2016. Optimisation of energy storage system capacity for wind farms based on cost-benefit analysis. IEEE PES Asia-Pacific Power Energy Engineering Conference (APPEEC), Xi'an, China, 25th to 28th October, 2016. DOI: 10.1109/APPEEC.2016.7779743. DOI: https://doi.org/10.1109/APPEEC.2016.7779743
Cole, S., Martinot, P, Rapoport, S. and Papaefthymiou, G. 2015.Cost-benefit analysis of a coordinated grid development in the North Sea, in IEEE Eindhoven PowerTech, PowerTech, Eindhoven, Netherlands, 29th June to 2nd July, 2015. DOI: 10.1109/PTC.2015.7232385. DOI: https://doi.org/10.1109/PTC.2015.7232385
Department of Mineral Resources and Energy, Independent producer procurement programme. Available online: https://www.ipp-renewables.co.za/. Accessed: January, 2022.
Dongxue, L., Jiye, Y., Dayong, Y., Songnan, L., Tianqi, L., Meijun, L. and Tao, L. 2017. Analysis of operation benefit of wind power integration based on wind-thermal power price compensation model. International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC), Shanghai, China, 16th to 18th, Aug., 2017. DOI: 10.1109/SDPC.2017.150. DOI: https://doi.org/10.1109/SDPC.2017.150
EE publishers, Small scale on-grid solar photovoltaic embedded generation in South Africa. Available online: https://www.ee.co.za/wp-content/uploads/2014/06/energize-re-vol2-pg-54-58.pdf, Accessed: January, 2022.
El Naily, N., Saad, S. M., Rajab, Z. and Mohamed, F. 2017. An intelligent protection scheme to mitigate the impact of integrating large share wind energy resources in a weak distribution network. Wind Engineering, 41 (6): 383–396. DOI:10.1177/0309524X17721995. DOI: https://doi.org/10.1177/0309524X17721995
Eskom transmission division. 2014. South African grid code requirements for renewable power plants – Version 2.8, Available online: https://www.sseg.org.za/wp-content/uploads/2019/03/South-African-Grid-Code-Requirements-for-Renewable-Power-Plants-Version-2-8.pdf, Accessed: January, 2022.
Eksom, 2018. Schedule of standard prices for ESKOM tariffs 1 April 2018 to 31 March 2019 for non-local authority supplies, and 1 July 2018 to 30 June 2019 for local authority supplies. Avaialble online: https://rise.esmap.org/data/files/library/south-africa/Documents/Energy%20Access/South%20Africa_Tariffs%20and%20charges%202018.pdf, Accessed: January, 2022.
Hung, D. Q. and Mithulananthan, N. 2013. Multiple distributed generator placement in primary distribution net-works for loss reduction. IEEE Transactions on Industrial Electronics, 60(4):1700–8. DOI: https://doi.org/10.1109/TIE.2011.2112316
Jiandong, D., Qian, S. and Lupeng, C. 2018. Optimal Operation of Distribution Network in Pursuit of High Effective Consumption of Distributed Wind. 13th IEEE Conf. Ind. Electron. Appl., Wuhan, China, 31st, May to 2nd June, 2018. DOI: 10.1109/ICIEA.2018.8397976. DOI: https://doi.org/10.1109/ICIEA.2018.8397976
Kanwar, N. Gupta, N. Niazi, K. R. Swarnkar, A. Bansal, R. C. 2017. Simultaneous allocation of distributed energy re-source using improved particle swarm optimisation. Appl. Energy, 185:1684–93. DOI: https://doi.org/10.1016/j.apenergy.2016.01.093
Kumar, A., Meena, N.K., Singh, A.R., Deng, Y., He, X., Bansal, R. C. and Kumar, P. 2019. Strategic integration of bat-tery energy storage systems with the provision of distributed ancillary services in active distribution systems. Ap-plied Energy. 253 (113503): 1-16, 2019. DOI: 10.1016/j.apenergy.2019.113503. DOI: https://doi.org/10.1016/j.apenergy.2019.113503
Kusakana, K. 2018. Impact of different South African demand sectors on grid-connected PV systems optimal energy dispatch under time of use tariff. In Sustainable Cloud and Energy Services, Springer, Cham, 243–260. DOI: https://doi.org/10.1007/978-3-319-62238-5_10
Lee, S. H. and Park, J. W. 2009. Selection of optimal location and size of multiple distributed generations by using Kalman filter algorithm. IEEE Transactions on Power Systems, 24 (3):1393–400. DOI: https://doi.org/10.1109/TPWRS.2009.2016540
Li, R., Wang, W., Chen, Z., Jiang, J. and Zhang, W. 2017. A review of optimal planning active distribution system: Models, methods, and future researches, Energies, 10(11): 1–27. DOI: 10.3390/en10111715. DOI: https://doi.org/10.3390/en10111715
Lia, Y. Fenga, B. Lia, G. Qib, J. Zhaoc, D. Mud, Y. 2021. Optimal distributed generation planning in active distribution networks considering integration of energy storage, Applied Energy, doi.org/10.1016/j.apenergy.2017.08.008.
Martins, V. F. and Borges, C. L. T. 2011. Active distribution network integrated planning incorporating distributed generation and load response uncertainties. IEEE Transactions on Power Systems, 26:2164–72. DOI: https://doi.org/10.1109/TPWRS.2011.2122347
Mbungu, T. N., Bansal, R. C. and Naidoo, R. M. 2019. Smart energy coordination of autonomous residential home. IET Smart Grid, 2(3): 336–346. DOI: https://doi.org/10.1049/iet-stg.2019.0109
Numbi, B.P. and Malinga, S. J. 2017. Optimal energy cost and economic analysis of a residential grid-interactive solar PV system- case of eThekwini municipality in South Africa. Applied Energy, 185: 28-45. DOI: https://doi.org/10.1016/j.apenergy.2016.10.048
Pesaran, M., Huy, P. D. and Ramachandaramurthy, V. K. 2016. A review of the optimal allocation of distributed generation: Objectives, constraints, methods, and algorithms. Renewable and Sustainable Energy Reviews, 75: 293–312, 2017.DOI: 10.1016/j.rser.2016.10.071. DOI: https://doi.org/10.1016/j.rser.2016.10.071
Prakash P. and Alternate, D. K. K. 2016. Optimal sizing and siting techniques for distributed generation in distribu-tion systems: A review. Renewable and Sustainable Energy Reviews, 57: 111–130. DOI: 10.1016/j.rser.2015.12.099. DOI: https://doi.org/10.1016/j.rser.2015.12.099
Shaaban, M. F, Atwa, Y. M, El-Saadany, E. F. 2013. DG allocation for benefit maximisation in distribution networks. IEEE Transactions on Power Systems, 28(2): 639–49. DOI: https://doi.org/10.1109/TPWRS.2012.2213309
South African National Standard (SANS), SANS 10142-1 : 2012 The wiring of premises Part 1 : Low-voltage installations. 2012.
Supriya, C. S. and Siddarthan, M. 2011. Optimisation and sizing of a grid-connected hybrid PV-Wind energy system. International Journal of Engineering Science and Technology, 3(5): 4296-4323.
Viral, R. Khatod, D. K. 2015. An analytical approach for sizing and siting of DGs in balanced radial distribution net-works for loss minimisation. International Journal of Electrical Power and Energy Systems, 67:191–201. DOI: https://doi.org/10.1016/j.ijepes.2014.11.017
Wang, C. and Nehrir, M. H. 2004. Analytical approaches for optimal placement of distributed generation sources in power systems. IEEE Trans. Power Syst., 19(4):2068–76. DOI: https://doi.org/10.1109/TPWRS.2004.836189
Wang, Y., Yu, Y. and Zhang, J. 2017. Analysis for distribution network on hosting capacity of distributed wind turbines considering additional income under procedure conditions. The Journal of Engineering, 2017 (13): 19–20. DOI: 10.1049/joe.2017.0556. DOI: https://doi.org/10.1049/joe.2017.0556
Wikipedia, List of power stations in South Africa. Available online: https://en.wikipedia.org/wiki/List_of_power_stations_in_South_Africa. Accessed: January, 2022.
Wind Atlas for South Africa (WASA). Available online: http://www.wasaproject.info/. Accessed: January, 2022.
Winkler, H. 2005. Renewable energy policy in South Africa: policy options for renewable electricity. Energy Policy, 33: 27–38 DOI: https://doi.org/10.1016/S0301-4215(03)00195-2
Xia, S., Chan, K. W., Luo, X., Bu, S., Ding, Z. and Zhou, B. 2018. Optimal sizing of energy storage system and its cost-benefit analysis for power grid planning with intermittent wind generation. Renewable Energy, 122: 472–486. DOI: 10.1016/j.renene.2018.02.010. DOI: https://doi.org/10.1016/j.renene.2018.02.010
Yu, H., Zhang, C., Deng, Z. and Bian, H. 2018. Economic optimisation for configuration and sizing of micro integrated energy systems. Journal of Modern Power Systems and Clean Energy, 6:330–341. DOI: 10.1007/s40565-017-0291-2. DOI: https://doi.org/10.1007/s40565-017-0291-2
Zhang, S. and Tang, Y. 2019. Optimal schedule of grid-connected residential PV generation systems with battery storages under time-of-use and step tariffs. Journal of Energy Storage, 23:175–182. DOI: https://doi.org/10.1016/j.est.2019.01.030
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