Addressing the intricate optimization challenge of cascade reservoir dispatching, this paper introduces a novel Improved Kidney Algorithm (IKA) to overcome the limitations of traditional and heuristic methods. Traditional optimization approaches often exhibit slow convergence and high computational costs, while natural heuristic algorithms can suffer from premature convergence and suboptimal solutions. To improve the optimization effectiveness, the IKA combines a migration strategy with an initial solution of the scaling factor and an adaptive parameter adjustment mechanism. Its application to the long-term power generation scheduling of a cascade reservoir demonstrates significant improvements in multi-year average power generation and reduction of discarded water, substantiating its potential for addressing complex optimization problems.
Tài liệu tham khảo
REFERENCES
Asfaw, T. D., & Saiedi, S. (2011). Optimal short-term cascade reservoirs operation using genetic algorithm. Asian Journal of Applied Sciences, 4(3), 297–305.
Azizipour, M., Sattari, A., Afshar, M. H., Goharian, E., & Solis, S. S. (2020). Optimal hydropower operation of multi-reservoir systems: hybrid cellular automata-simulated annealing approach. Journal of Hydroinformatics, 22(5), 1236–1257.
Bai, T., Kan, Y., Chang, J., Huang, Q., & Chang, F.-J. (2017). Fusing feasible search space into PSO for multi-objective cascade reservoir optimization. Applied Soft Computing, 51, 328–340.
Chen, H., Wang, W., Chau, K., Xu, L., & He, J. (2021). Flood control operation of reservoir group using Yin-Yang Firefly Algorithm. Water Resources Management, 35, 5325–5345.
Dao, T.-K., Nguyen, T.-T., Do, T.-V., Nguyen, T.-D., & Nguyen, V.-T. (2023). An Optimal Cascade Reservoir Operation Based on Multi-objective Water Cycle Algorithm BT - Advances in Engineering Research and Application (D. C. Nguyen, N. P. Vu, B. T. Long, H. Puta, & K.-U. Sattler (eds.); pp. 188–200). Springer International Publishing.
Dao, T.-K., Nguyen, T.-T., Ngo, T.-G., & Nguyen, T.-D. (2023). An Optimal WSN Coverage Based on Adapted Transit Search Algorithm. International Journal of Software Engineering and Knowledge Engineering, 1–24. https://doi.org/10.1142/S0218194023400016
Dao, T.-K., Nguyen, T.-T., Nguyen, V.-T., & Nguyen, T.-D. (2022). A Hybridized Flower Pollination Algorithm and Its Application on Microgrid Operations Planning. Applied Sciences, 12(13), 6487.
Ehteram, M., Karami, H., Mousavi, S. F., Farzin, S., Celeste, A. B., & Shafie, A.-E. (2018). Reservoir operation by a new evolutionary algorithm: kidney algorithm. Water Resources Management, 32, 4681–4706.
Ekinci, S., & Hekimoğlu, B. (2019). Improved kidney-inspired algorithm approach for tuning of PID controller in AVR system. IEEE Access, 7, 39935–39947.
Fan, H., He, D., & Wang, H. (2015). Environmental consequences of damming the mainstream Lancang-Mekong River: A review. Earth-Science Reviews, 146, 77–91.
He, S., Guo, S., Chen, K., Deng, L., Liao, Z., Xiong, F., & Yin, J. (2019). Optimal impoundment operation for cascade reservoirs coupling parallel dynamic programming with importance sampling and successive approximation. Advances in Water Resources, 131, 103375.
Jaddi, N. S., Alvankarian, J., & Abdullah, S. (2017). Kidney-inspired algorithm for optimization problems. Communications in Nonlinear Science and Numerical Simulation, 42, 358–369.
Lai, V., Huang, Y. F., Koo, C. H., Ahmed, A. N., & El-Shafie, A. (2022). A review of reservoir operation optimisations: from traditional models to metaheuristic algorithms. Archives of Computational Methods in Engineering, 29(5), 3435–3457.
Nguyen, T.-T., Dao, T.-K., Nguyen, T.-D., & Nguyen, V.-T. (2023). An Improved Honey Badger Algorithm for Coverage Optimization in Wireless Sensor Network. Journal of Internet Technology, 24(2), 363–377.
Nguyen, T. T., Pan, J. S., & Dao, T. K. (2019). An Improved Flower Pollination Algorithm for Optimizing Layouts of Nodes in Wireless Sensor Network. IEEE Access, 7, 75985–75998. https://doi.org/10.1109/ACCESS.2019.2921721
Sun, Y., Wang, X., Chen, Y., & Liu, Z. (2018). A modified whale optimization algorithm for large-scale global optimization problems. Expert Systems with Applications, 114, 563–577. https://doi.org/https://doi.org/10.1016/j.eswa.2018.08.027
Suwal, N., Huang, X., Kuriqi, A., Chen, Y., Pandey, K. P., & Bhattarai, K. P. (2020). Optimisation of cascade reservoir operation considering environmental flows for different environmental management classes. Renewable Energy, 158, 453–464.
Thaeer Hammid, A., Awad, O. I., Sulaiman, M. H., Gunasekaran, S. S., Mostafa, S. A., Manoj Kumar, N., Khalaf, B. A., Al-Jawhar, Y. A., & Abdulhasan, R. A. (2020). A review of optimization algorithms in solving hydro generation scheduling problems. Energies, 13(11), 2787.
Wang, T., Li, Z., Ge, W., Zhang, Y., Jiao, Y., Jing, L., & van Gelder, P. (2023). Rank classification method for cascade reservoirs considering scale, benefits, and risk consequences. Journal of Hydrology, 623, 129856. https://doi.org/https://doi.org/10.1016/j.jhydrol.2023.129856
Wang, Y., Zhang, N., Wang, D., & Wu, J. (2020). Impacts of cascade reservoirs on Yangtze River water temperature: Assessment and ecological implications. Journal of Hydrology, 590, 125240.
Yazdi, J., & Moridi, A. (2018). Multi-objective differential evolution for design of cascade hydropower reservoir systems. Water Resources Management, 32(14), 4779–4791.
