Research on the stability of grid-connected wind and solar power generation
DOI:
https://doi.org/10.54097/00qnvx12Keywords:
Grid integration, Solar energy, Wind energy, Virtual power plant, Renewables control.Abstract
This paper mainly introduces multiple strategies to enhance the stability of wind and solar power grid integration. Firstly, considering the impact on the environment, mechanical energy storage systems such as FESS, PHES and CAES are introduced and analyzed. These energy storage systems cope well with wind and solar demand fluctuations. Then three kinds of GFM control techniques are introduced. For VF control, single-loop control leads to better stability of the grid. VOC is one of the more efficient in terms of power sharing and synchronization speed. Finally, three types of uncertainty that need to be considered in VPP are introduced, such as the uncertainty of renewable energy, the uncertainty of market price and the uncertainty of load demand. Considering the uncertainty of renewable energy, two VPP optimization methods are given to improve the stability of power grid. This paper hopes to consider the possibility of combining these methods in future VPP research.
Downloads
References
[1] Viteri, J. P., Henao, F., Cherni, J., et al. Optimizing the insertion of renewable energy in the off-grid regions of Colombia. Journal of Cleaner Production, 2019, 235: 535 - 548. DOI: https://doi.org/10.1016/j.jclepro.2019.06.327
[2] Fragkos, P., van Soest, H. L., Schaeffer, R., et al. Energy system transitions and low-carbon pathways in Australia, Brazil, Canada, China, EU-28, India, Indonesia, Japan, Republic of Korea, Russia and the United States. Energy, 2021, 216: 119385. DOI: https://doi.org/10.1016/j.energy.2020.119385
[3] Our World in Data. Renewable Energy. Retrieved on September 25, 2024, retrieved from https: //ourworldindata.org/renewable-energy.
[4] Hu, H., Jing, Z., Guo, Q., et al. Evaluation Approach for Wind and Solar Complementarity Considering Output Fluctuation and Intermittency. Modern Electric Power, 2024.
[5] Xu, T., Gao, W., Qian, F., et al. The implementation limitation of variable renewable energies and its impacts on the public power grid. Energy, 2022, 239: 121992. DOI: https://doi.org/10.1016/j.energy.2021.121992
[6] Ahmed, F., Al Kez, D., McLoone, S., et al. Dynamic grid stability in low carbon power systems with minimum inertia. Renewable Energy, 2023, 210: 486 - 506. DOI: https://doi.org/10.1016/j.renene.2023.03.082
[7] Mahmoud, M., Ramadan, M., Olabi, A. G., et al. A review of mechanical energy storage systems combined with wind and solar applications. Energy Conversion and Management, 2020, 210: 112670. DOI: https://doi.org/10.1016/j.enconman.2020.112670
[8] Zhang, H., Xiang, W., Lin, W., et al. Grid forming converters in renewable energy sources dominated power grid: Control strategy, stability, application, and challenges. Journal of modern power systems and clean energy, 2021, 9: 1239 - 1256. DOI: https://doi.org/10.35833/MPCE.2021.000257
[9] Alahyari, A., Ehsan, M., Mousavizadeh, M. A hybrid storage-wind virtual power plant (VPP) participation in the electricity markets: A self-scheduling optimization considering price, renewable generation, and electric vehicles uncertainties. Journal of Energy Storage, 2019, 25: 100812. DOI: https://doi.org/10.1016/j.est.2019.100812
[10] Li, Q., Wei, F., Zhou, Y., et al. A scheduling framework for VPP considering multiple uncertainties and flexible resources. Energy, 2023, 282: 128385. DOI: https://doi.org/10.1016/j.energy.2023.128385
[11] Yu, S., Fang, F., Liu, Y. Uncertainties of virtual power plant: Problems and countermeasures. Applied energy, 2019, 239: 454 - 470. DOI: https://doi.org/10.1016/j.apenergy.2019.01.224
[12] Li, X., Palazzolo, A. A review of flywheel energy storage systems: state of the art and opportunities. Journal of Energy Storage, 2022, 46: 103576. DOI: https://doi.org/10.1016/j.est.2021.103576
[13] Javed, M. S., Ma, T., Jurasz, J., et al. Solar and wind power generation systems with pumped hydro storage: Review and future perspectives. Renewable Energy, 2020, 148: 176 - 192. DOI: https://doi.org/10.1016/j.renene.2019.11.157
[14] Koko, S. P., Kusakana, K., Vermaak, H. J. Optimal power dispatch of a grid-interactive micro-hydrokinetic-pumped hydro storage system. Journal of Energy Storage, 2018, 17: 63 - 72. DOI: https://doi.org/10.1016/j.est.2018.02.013
[15] Ji, W., Zhou, Y., Sun, Y., et al. Thermodynamic analysis of a novel hybrid wind-solar-compressed air energy storage system. Energy Conversion and Management, 2017, 142: 176 - 187. DOI: https://doi.org/10.1016/j.enconman.2017.02.053
[16] Rosso, R., Wang, X., Liserre, M. Grid-forming converters: Control approaches, grid-synchronization, and future trends—A review. IEEE Open Journal of Industry Applications, 2021, 2: 93 - 109. DOI: https://doi.org/10.1109/OJIA.2021.3074028
[17] Du, W., Chen, Z., Schneider, K. P., et al. A comparative study of two widely used grid-forming droop controls on microgrid small-signal stability. IEEE Journal of Emerging and Selected Topics in Power Electronics, 2019, 8: 963 - 975. DOI: https://doi.org/10.1109/JESTPE.2019.2942491
[18] Tajeddini, M. A., Rahimi-Kian, A., Soroudi, A. Risk averse optimal operation of a virtual power plant using two stage stochastic programming. Energy, 2014, 73: 958 - 967. DOI: https://doi.org/10.1016/j.energy.2014.06.110
[19] Ju, L., Tan, Z., Yuan, J., et al. A bi-level stochastic scheduling optimization model for a virtual power plant connected to a wind–photovoltaic–energy storage system considering the uncertainty and demand response. Applied energy, 2016, 171: 184 - 199. DOI: https://doi.org/10.1016/j.apenergy.2016.03.020
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Highlights in Science, Engineering and Technology
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
