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Year 2024, Volume: 5 Issue: 1, 1 - 10, 30.06.2024

Abstract

References

  • [1] Tur, M. R. (2021). Deployment of reserve requirements into the power systems considering the cost, lost, and reliability parameters based on sustainable energy. The International Journal of Electrical Engineering & Education, 58(2), 621-639.
  • [2] Zong, L., Zhang, X., Zhao, L., Yu, H., & Zhao, Q. (2017). Multi-view clustering via multi-manifold regularized non-negative matrix factorization. Neural Networks, 88, 74-89.
  • [3] Sedghi, M., Ahmadian, A., & Aliakbar-Golkar, M. (2015). Optimal storage planning in active distribution network considering uncertainty of wind power distributed generation. IEEE Transactions on Power Systems, 31(1), 304-316.
  • [4] Saboori, H., Hemmati, R., & Jirdehi, M. A. (2015). Reliability improvement in radial electrical distribution network by optimal planning of energy storage systems. Energy, 93, 2299-2312.
  • [5] Barnoy, A. (2022). An island of reliability in a sea of misinformation? Understanding PR-journalists relations in times of epistemic crisis. Journal of Public Relations Research, 34(3-4), 89-108.
  • [6] Arrillaga, J., Watson, N. R., & Chen, S. (2000). Power system quality assessment. John Wiley & Sons.
  • [7] Billinton, R., Allan, R. N., & Salvaderi, L. (1991). Applied reliability assessment in electric power systems.
  • [8] George, D., & Mallery, P. (2018). Reliability analysis. In IBM SPSS statistics 25 step by step (pp. 249-260). Routledge.
  • [9] Olajuyin, E. A., Olulope, P. K., & Fasina, E. T. (2022). An overview on reliability assessment in power systems using CI approaches. Archives of Electrical Engineering, 71(2).
  • [10] Alahmed, A., Siddiki, M. K., & Chaudhry, G. M. (2020, June). Reliability Evaluation of Microgrid Power Systems Based on Renewable Energy in Saudi Arabia. In 2020 47th IEEE Photovoltaic Specialists Conference (PVSC) (pp. 2799-2802). IEEE.
  • [11] Weber, E., Adler, et. Al. (1996). Reporting bulk power system delivery point reliability. IEEE Transactions on Power Systems, 11(3), 1262-1268.
  • [12] Tur, M. R. (2020). Reliability assessment of distribution power system when considering energy storage configuration technique. IEEE Access, 8, 77962-77971.
  • [13] Kucur, G., Tur, M. R., Bayindir, R., Shahinzadeh, H., & Gharehpetian, G. B. (2022, February). A review of emerging cutting-edge energy storage technologies for smart grids purposes. In 2022 9th Iranian Conference on Renewable Energy & Distributed Generation (pp. 1-11). IEEE.
  • [14] Ersalıcı, H. (2013). Elektrik Dağıtım Sistemlerinin Güvenilirlik Analizi (Doctoral dissertation, Fen Bilimleri Enstitüsü).
  • [15] Wadi, M., Baysal, M., Shobole, A., & Tur, M. R. (2018, October). Reliability evaluation in smart grids via modified Monte Carlo simulation method. In 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA) (pp. 841-845). IEEE.
  • [16] Solow, R. (2014). Thomas Piketty is right. Everything you need to know about capital in the twenty-first century. New Republic, 22.
  • [17] Chan, H. Y., Riffat, S. B., & Zhu, J. (2010). Review of passive solar heating and cooling technologies. Renewable and Sustainable Energy Reviews, 14(2), 781-789.
  • [18] Rodríguez, M. R., De Ruyck, J., Diaz, P. R., Verma, V. K., & Bram, S. (2011). An LCA based indicator for evaluation of alternative energy routes. Applied energy, 88(3), 630-635.
  • [19] Moslehi, K., & Kumar, R. (2010). A reliability perspective of the smart grid. IEEE transactions on smart grid, 1(1), 57-64.
  • [20] Moslehi, K., & Kumar, R. (2010, January). Smart grid-a reliability perspective. In 2010 Innovative smart grid technologies (ISGT) (pp. 1-8). IEEE.
  • [21] North American Electric Reliability Corporation, "Task 1.6 Probabilistic Methods," NERC, Atlanta, GA, USA, July 2014
  • [22] Ilić, M. D., Joo, J. Y., Xie, L., Prica, M., & Rotering, N. (2010). A decision-making framework and simulator for sustainable electric energy systems. IEEE Transactions on Sust. E., 2(1), 37-49.
  • [23] Tur, M. R., Ay, S., Wadi, M., & Shobole, A. (2017). Obtaining optimal spinning reserve and unit commitment considering the socio-economic parameters, ECRES–5. In European Conference on Renewable Energy Systems, Herzegovina, Bosnia.
  • [24] Tür, M., Ay, S., Shobole, A., & Wadi, M. (2019 Güç sistemlerinde ünite tahsisi için döner rezerv gereksinimi optimal deǧerinin kayip parametrelerin dikkate alinarak hesaplanmasi. Journal of the Faculty of Engineering and Architecture of Gazi University, 34.
  • [25] Palensky, P., & Dietrich, D. (2011). Demand side management: Demand response, intelligent energy systems, and smart loads. IEEE transactions on industrial informatics, 7(3), 381-388.
  • [26] Strbac, G. (2008). Demand side management: Benefits and challenges. Energy policy, 36(12), 4419-4426.
  • [27] Haas, P. J., Naughton, J. F., Seshadri, S., & Stokes, L. (1995, September). Sampling-based estimation of the number of distinct values of an attribute. In VLDB (Vol. 95, pp. 311-322).
  • [28] Ding, Y., Shao, C., Yan, J., Song, Y., Zhang, C., & Guo, C. (2018). Economical flexibility options for integrating fluctuating wind energy in power systems: The case of China. Applied Energy, 228, 426-436.
  • [29] Azadeh, A., Ghaderi, S. F., Nokhandan, B. P., & Sheikhalishahi, M. (2012). A new genetic algorithm approach for optimizing bidding strategy viewpoint of profit maximization of a generation company. Expert Systems with Applications, 39(1), 1565-1574.
  • [30] Wu, L., Shahidehpour, M., & Li, T. (2007). Stochastic security-constrained unit commitment. IEEE Transactions on power systems, 22(2), 800-811.
  • [31] Fu, Y., & Shahidehpour, M. (2007). Fast SCUC for large-scale power systems. IEEE Transactions on power systems, 22(4), 2144-2151.
  • [32] Ghasemi, H., Paci, M., Tizzanini, A., & Mitsos, A. (2013). Modeling and optimization of a binary geothermal power plant. Energy, 50, 412-428.

Placement of Optimum Supercapacitors Considering Cost and Loss Parameters in Reliability-based Sustainable Energy-Based Grid

Year 2024, Volume: 5 Issue: 1, 1 - 10, 30.06.2024

Abstract

This study aims to develop a method for low-cost production in power systems by analyzing key parameters such as production costs, line losses, and reliability in the contexts of production planning and load distribution processes. By taking these parameters into account, the goal is to enhance the system's sustainability and efficiency. System reliability refers to the capability of a system to perform a specified task within a given time frame. Reliability-based risk analysis is employed to assess the reliability of critical system components. Unit Commitment (UC) involves the optimal allocation of energy production units while considering production costs, line losses, and reliability factors. The amount of supercapacitors is determined by evaluating the reliability of system components, production costs, and losses. Supercapacitors are utilized in energy systems to prevent imbalances between supply and demand, and they are allocated to be equal to or greater than the capacity of the largest generator. Cost-benefit analysis is conducted to determine the optimal level of supercapacitors. The objective of this study is to achieve low-cost and sustainable energy production in power systems through a comprehensive analysis of production costs, line losses, and reliability parameters. The focus is on the efficient allocation of energy production units and conducting reliability-based risk analyses to achieve an optimal production balance.

References

  • [1] Tur, M. R. (2021). Deployment of reserve requirements into the power systems considering the cost, lost, and reliability parameters based on sustainable energy. The International Journal of Electrical Engineering & Education, 58(2), 621-639.
  • [2] Zong, L., Zhang, X., Zhao, L., Yu, H., & Zhao, Q. (2017). Multi-view clustering via multi-manifold regularized non-negative matrix factorization. Neural Networks, 88, 74-89.
  • [3] Sedghi, M., Ahmadian, A., & Aliakbar-Golkar, M. (2015). Optimal storage planning in active distribution network considering uncertainty of wind power distributed generation. IEEE Transactions on Power Systems, 31(1), 304-316.
  • [4] Saboori, H., Hemmati, R., & Jirdehi, M. A. (2015). Reliability improvement in radial electrical distribution network by optimal planning of energy storage systems. Energy, 93, 2299-2312.
  • [5] Barnoy, A. (2022). An island of reliability in a sea of misinformation? Understanding PR-journalists relations in times of epistemic crisis. Journal of Public Relations Research, 34(3-4), 89-108.
  • [6] Arrillaga, J., Watson, N. R., & Chen, S. (2000). Power system quality assessment. John Wiley & Sons.
  • [7] Billinton, R., Allan, R. N., & Salvaderi, L. (1991). Applied reliability assessment in electric power systems.
  • [8] George, D., & Mallery, P. (2018). Reliability analysis. In IBM SPSS statistics 25 step by step (pp. 249-260). Routledge.
  • [9] Olajuyin, E. A., Olulope, P. K., & Fasina, E. T. (2022). An overview on reliability assessment in power systems using CI approaches. Archives of Electrical Engineering, 71(2).
  • [10] Alahmed, A., Siddiki, M. K., & Chaudhry, G. M. (2020, June). Reliability Evaluation of Microgrid Power Systems Based on Renewable Energy in Saudi Arabia. In 2020 47th IEEE Photovoltaic Specialists Conference (PVSC) (pp. 2799-2802). IEEE.
  • [11] Weber, E., Adler, et. Al. (1996). Reporting bulk power system delivery point reliability. IEEE Transactions on Power Systems, 11(3), 1262-1268.
  • [12] Tur, M. R. (2020). Reliability assessment of distribution power system when considering energy storage configuration technique. IEEE Access, 8, 77962-77971.
  • [13] Kucur, G., Tur, M. R., Bayindir, R., Shahinzadeh, H., & Gharehpetian, G. B. (2022, February). A review of emerging cutting-edge energy storage technologies for smart grids purposes. In 2022 9th Iranian Conference on Renewable Energy & Distributed Generation (pp. 1-11). IEEE.
  • [14] Ersalıcı, H. (2013). Elektrik Dağıtım Sistemlerinin Güvenilirlik Analizi (Doctoral dissertation, Fen Bilimleri Enstitüsü).
  • [15] Wadi, M., Baysal, M., Shobole, A., & Tur, M. R. (2018, October). Reliability evaluation in smart grids via modified Monte Carlo simulation method. In 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA) (pp. 841-845). IEEE.
  • [16] Solow, R. (2014). Thomas Piketty is right. Everything you need to know about capital in the twenty-first century. New Republic, 22.
  • [17] Chan, H. Y., Riffat, S. B., & Zhu, J. (2010). Review of passive solar heating and cooling technologies. Renewable and Sustainable Energy Reviews, 14(2), 781-789.
  • [18] Rodríguez, M. R., De Ruyck, J., Diaz, P. R., Verma, V. K., & Bram, S. (2011). An LCA based indicator for evaluation of alternative energy routes. Applied energy, 88(3), 630-635.
  • [19] Moslehi, K., & Kumar, R. (2010). A reliability perspective of the smart grid. IEEE transactions on smart grid, 1(1), 57-64.
  • [20] Moslehi, K., & Kumar, R. (2010, January). Smart grid-a reliability perspective. In 2010 Innovative smart grid technologies (ISGT) (pp. 1-8). IEEE.
  • [21] North American Electric Reliability Corporation, "Task 1.6 Probabilistic Methods," NERC, Atlanta, GA, USA, July 2014
  • [22] Ilić, M. D., Joo, J. Y., Xie, L., Prica, M., & Rotering, N. (2010). A decision-making framework and simulator for sustainable electric energy systems. IEEE Transactions on Sust. E., 2(1), 37-49.
  • [23] Tur, M. R., Ay, S., Wadi, M., & Shobole, A. (2017). Obtaining optimal spinning reserve and unit commitment considering the socio-economic parameters, ECRES–5. In European Conference on Renewable Energy Systems, Herzegovina, Bosnia.
  • [24] Tür, M., Ay, S., Shobole, A., & Wadi, M. (2019 Güç sistemlerinde ünite tahsisi için döner rezerv gereksinimi optimal deǧerinin kayip parametrelerin dikkate alinarak hesaplanmasi. Journal of the Faculty of Engineering and Architecture of Gazi University, 34.
  • [25] Palensky, P., & Dietrich, D. (2011). Demand side management: Demand response, intelligent energy systems, and smart loads. IEEE transactions on industrial informatics, 7(3), 381-388.
  • [26] Strbac, G. (2008). Demand side management: Benefits and challenges. Energy policy, 36(12), 4419-4426.
  • [27] Haas, P. J., Naughton, J. F., Seshadri, S., & Stokes, L. (1995, September). Sampling-based estimation of the number of distinct values of an attribute. In VLDB (Vol. 95, pp. 311-322).
  • [28] Ding, Y., Shao, C., Yan, J., Song, Y., Zhang, C., & Guo, C. (2018). Economical flexibility options for integrating fluctuating wind energy in power systems: The case of China. Applied Energy, 228, 426-436.
  • [29] Azadeh, A., Ghaderi, S. F., Nokhandan, B. P., & Sheikhalishahi, M. (2012). A new genetic algorithm approach for optimizing bidding strategy viewpoint of profit maximization of a generation company. Expert Systems with Applications, 39(1), 1565-1574.
  • [30] Wu, L., Shahidehpour, M., & Li, T. (2007). Stochastic security-constrained unit commitment. IEEE Transactions on power systems, 22(2), 800-811.
  • [31] Fu, Y., & Shahidehpour, M. (2007). Fast SCUC for large-scale power systems. IEEE Transactions on power systems, 22(4), 2144-2151.
  • [32] Ghasemi, H., Paci, M., Tizzanini, A., & Mitsos, A. (2013). Modeling and optimization of a binary geothermal power plant. Energy, 50, 412-428.
There are 32 citations in total.

Details

Primary Language English
Subjects Power Plants
Journal Section Articles
Authors

Merve Çelik 0000-0001-9602-2631

Davut Sevim 0000-0002-0227-4772

Publication Date June 30, 2024
Submission Date June 2, 2024
Acceptance Date June 19, 2024
Published in Issue Year 2024 Volume: 5 Issue: 1

Cite

APA Çelik, M., & Sevim, D. (2024). Placement of Optimum Supercapacitors Considering Cost and Loss Parameters in Reliability-based Sustainable Energy-Based Grid. Journal of Engineering and Technology, 5(1), 1-10.