Improvement of Efficiency of Inverters in Hydro Photovoltaic Power Station with Particle Swarm Optimization

Huijie Xue; Ning Xiao

doi:10.4108/ew.5807

Authors

Huijie Xue Beijing University of Civil Engineering and Architecture
Ning Xiao Beijing University of Civil Engineering and Architecture

DOI:

https://doi.org/10.4108/ew.5807

Keywords:

efficiency, power distribution, particle swarm optimization

Abstract

In the sparsely populated areas without electricity, the hydro photovoltaic power station is a feasible solution for electricity supply. The strategy of distributing the power among the inverters is critical to the efficiency of them. The conventional distributing strategies result in low efficiency of the inverters. In order to improve the efficiency, this paper analysed the loss and efficiency characteristics of the inverter and expressed the power distributing problem as an optimal control problem minimizing the total loss for the inverters. The optimal control problem was solved with particle swarm optimization and the efficiency optimum power distribution strategies in three operation scenarios were obtained. The quantitative analysis method was adopted to evaluate the effect of the efficiency optimum power distribution strategies. The total efficiency of the inverters with the optimal strategies and the conventional strategies were calculated respectively. The optimal distribution strategies were compared quantitatively with conventional power distribution strategies on the basis of the efficiency. The results demonstrated the validity of the strategies obtained in this paper in improving the total efficiency of the inverters.

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References

For the first time in decades, the number of people without access to electricity is set to increase in 2022. <https://www.iea.org/commentaries/for-the-first-time-in-decades-the-number-of-people-without-access-to-electricity-is-set-to-increase-in-2022>, 2023 (accessed Dec.12, 2023).

G. Shafiullah et al., Prospects of Hybrid Renewable Energy-Based Power System: A Case Study, Post Analysis of Chipendeke Micro-Hydro, Zimbabwe, in IEEE Access, vol. 9, pp. 73433-73452, 2021. DOI: https://doi.org/10.1109/ACCESS.2021.3078713

O. Dzobo, Design of an off-grid hydro-solar-biogas energy system for sustainable energy supply in rural communities, 2022 IEEE International Conference on Power Systems Technology (POWERCON), Kuala Lumpur, Malaysia, 2022, pp. 1-4. DOI: https://doi.org/10.1109/POWERCON53406.2022.9930065

P. Dusenge, J. d. Niyonsaba, J. De Dieu Samvura, J. Bikorimana, T. Rwahama and E. Mudaheranwa, Feasibility study of hybrid Hydro-PV power plant possible deployment in remote rural area, 2022 IEEE PES/IAS PowerAfrica, Kigali, Rwanda, 2022, pp. 1-5. DOI: https://doi.org/10.1109/PowerAfrica53997.2022.9905275

Seema and B. Singh, PV-Hydro-Battery Based Standalone Power station for Rural Electrification, 2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), Gorakhpur, India, 2018, pp. 1-6. DOI: https://doi.org/10.1109/UPCON.2018.8597005

M. T. Melamu, E. F. Orumwense and K. M. Abo-Al-Ez, Simulation of a Hybrid PV System and Micro-Hydropower Using Matlab/Simulink, SSRN Electron. J., no. December, pp. 0-6, 2021. DOI: https://doi.org/10.2139/ssrn.3740734

S. Bhattacharyya, D. S. Kumar P, S. Samanta and S. Mishra, Steady Output and Fast Tracking MPPT (SOFT-MPPT) for P&O and InC Algorithms, in IEEE Transactions on Sustainable Energy, vol. 12, no. 1, pp. 293-302, Jan. 2021. DOI: https://doi.org/10.1109/TSTE.2020.2991768

A. A. A. Radwan and Y. A. -R. I. Mohamed, Power Synchronization Control for Grid-Connected Current-Source Inverter-Based Photovoltaic Systems, in IEEE Transactions on Energy Conversion, vol. 31, no. 3, pp. 1023-1036. DOI: https://doi.org/10.1109/TEC.2016.2533630

S. Rahman et al., Analysis of Power Grid Voltage Stability With High Penetration of Solar PV Systems, in IEEE Transactions on Industry Applications, vol. 57, no. 3, pp. 2245-2257, May-June 2021. DOI: https://doi.org/10.1109/TIA.2021.3066326

S. Jawad, S. A. Naim, C. Saha and N. -A. Masood, Frequency Stability Enhancement of a Large-Scale PV Integrated Grid, 2020 11th International Conference on Electrical and Computer Engineering (ICECE), Dhaka, Bangladesh, 2020, pp. 290-293. DOI: https://doi.org/10.1109/ICECE51571.2020.9393073

K. Mahmud, A. K. Sahoo, J. Ravishankar and Z. Y. Dong, Coordinated Multilayer Control for Energy Management of Grid-Connected AC Power stations, in IEEE Transactions on Industry Applications, vol. 55, no. 6, pp. 7071-7081, Nov.-Dec. 2019. DOI: https://doi.org/10.1109/TIA.2019.2931490

Changbing Zhang, Wenzhe Cao, Tingting Xie, et al, Operational characteristics and optimization of Hydro-PV power hybrid electricity system, Renewable Energy, vol. 200, pp. 601-613, 2022. DOI: https://doi.org/10.1016/j.renene.2022.10.005

Richard C. Dorf, Robert H. Bishop, Modern Control Systems, Pearson Education Press, 12th Edition, 2010.

Zhongjing Ma, Suli Zou, Optimal Control Theory: The Variational Method, Springer, ‎1st Edition, 2021.

Daniel Liberzon, Calculus of Variations and Optimal Control Theory: A Concise Introduction, Princeton University Press, 2012. DOI: https://doi.org/10.1515/9781400842643

K. van Berkel, B. de Jager, T. Hofman and M. Steinbuch, Implementation of Dynamic Programming for Optimal Control Problems with Continuous States, in IEEE Transactions on Control Systems Technology, vol. 23, no. 3, pp. 1172-1179, May 2015. DOI: https://doi.org/10.1109/TCST.2014.2357342

Dimitri P Bertsekas, Dynamic programming and Optimal control, Athena scientific, 4th Edition, 2017.

J. Kennedy and R. Eberhart, Particle swarm optimization, Proceedings of ICNN'95 - International Conference on Neural Networks, Perth, WA, Australia, 1995, pp. 1942-1948 vol.4.