Abstract
Many wind turbines are now integrated into the power system to form an energy Internet dominated by new energy sources, but this also brings new challenges to the power system. The randomness of wind power and the characteristics of being severely affected by the climate have an impact on the power quality, frequency and stability of the power grid. In order to ensure the smooth integration of wind power into the grid, the advantages of energy storage system need to be brought into play. Based on the current theoretical data and actual models, this paper studies capacity and power optimization based on the cost of energy storage system and the configuration of energy storage system. Aiming at the complex and diverse problems of energy storage system power and capacity, genetic algorithms are used for iterative calculations. The minimum cost is the objective function, and finally the optimal power, capacity, and cost of the energy storage system are obtained.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Reziguli, M., Chen, J., Tian, X., et al.: Research on power stabilization strategy based on wind power storage system. Power Capacit. React. POWER compens. 40 (4), 0188–0192 (2019)
Kang, M., Xu, Y., Wang, J., et al.: Life prediction of energy storage battery based on rain flow counting method under pulse load conditions. Microcomput. Appl. 36(16), 84–87 (2017)
Guo, Z.: The economic life of lead-acid batteries. Mar. Electric Technol. 34 (2) (2014)
Bin, Y., Yu, J., Zhu, Y., et al.: Real-time rain flow counting method and its application in modeling the health of lithium cobalt oxide batteries. Proc. Chin. Soc. Electr. Eng. 37(12) (2017)
Wang, L., Chen, Q., He, G., et al.: Power generation plan optimization considering battery energy storage life model. Autom. Electr. Power Syst. 43(8) (2019)
Chen, Y.: Research on the optimization of Wind power plant energy storage capacity based on the cost of energy storage system. Master’s degree thesis of Chongqing University (2017)
Yin, H.: Research on optimal configuration method of energy storage system adapting to new energy consumption. Master’s Thesis of North China University of Technology (2020)
Han, X., Cheng, C., Ji, T., et al.: Capacity optimization model of hybrid Energy storage system considering battery service life. Proc. Chin. Soc. Electr. Eng. 33(34) (2013)
Chen, Z., Sun, Y., Zhang, Y., et al.: Optimal configuration strategy of Energy storage system considering wind power volatility. J. Hunan Univ. (Nat. Sci. Ed.) 47(8) (2020)
Ding, M., Wu, J., Zhang, J.: Capacity allocation method of hybrid energy storage system facing wind level suppression. Acta Solar Energy 40(3) (2019)
Li, J., Niu, M., Wang, S., et al.: Operation and control analysis of 100 MW class battery energy storage station on grid side in Jiangsu power grid of China. Autom. Electric Power Syst. 44(2), 28–35 (2020). (in Chinese)
Chakrabarti, S., Kyriakides, E.: Optimal placement of phasor measurement units for power system observability. IEEE Trans. Power Syst. 23(3), 1433–1440 (2008)
Yu, Z., Guan, H., Meng, G., Wang, G.: Comprehensive compensation strategy for microgrid power quality based on multifunctional energy storage converter. Power Capacit. React. Power Compens. 42(03), 157–163 (2021)
Sun, Z., Long, Z., Wang, Y., Xu, H.: Resonance causes and suppression methods of photovoltaic grid-connected inverter clusters. Chin. J. Electr. Eng. 35(02), 418–425 (2015)
Guo, X., Wu, W., Gu, H.: Modeling and stability analysis of direct output current control of LCL interface of grid-connected inverter. J. Electrotech. Soc. 25(03), 102–109 (2010)
Ding, M., et al.: Summary of the impact of large-scale photovoltaic power generation on power systems. Chin. J. Electr. Eng. 34(01), 1–14 (2014)
Xu, D., Wang, F., Mao, H., Ruan, Y., Zhang, W.: Modeling and analysis of harmonic interaction between multiple grid-connected inverters and the grid. Chin. J. Electr. Eng. 33(12), 64–71+187 (2013)
Wang, J., Yang, K., Zhao, G.: Research on control characteristics of AC/DC hybrid microgrid based on droop control. In: IOP Conference Series: Earth and Environmental Science, vol. 675, no. 1 (2021)
Zhang, X., et al.: Modeling and resonance analysis of photovoltaic grid-connected multiple inverters in parallel. Chin. J. Electr. Eng. 34(03), 336–345 (2014)
Li, J., Li, Y., Lyu, C., et al.: Key technology and research status of cascaded utilization in decommissioned power battery. Autom. Electr. Power Syst. 44(13), 172–183 2020. (in Chinese)
Bai, Y., Chen, H., Wang, Z.: Discussion on strategies to enhance the system transient voltage stability under the DC bi-polar block fault. High Volt. Eng. Autom. Electr. Power Syst. 4(15), 93–96 (2006)
Momoh, J.A., El-Hawary, M.E., Adapa, R.: A review of selected optimal power flow literature to 1993. II. Newton, linear programming and interior point methods. IEEE Trans. Power Syst. 14(1), 105–111 1999
Yuan, Y., Kubokawa, J., Sasaki, H.: Optimal power flow solution with multi-contingency transient stability constraints. In: Presented at International Conference on Power System Technology (2002)
Acknowledgment
This work was supported in part by the Beijing Natural Science Foundation Project (No: 21JC0026).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Li, J., Li, Y., Zhang, Z., Wang, R., Wu, Y. (2022). Research on Control Strategy of Energy Storage System to Improve Wind Power Smoothing Ability. In: Liang, X., Li, Y., He, J., Yang, Q. (eds) The proceedings of the 16th Annual Conference of China Electrotechnical Society. Lecture Notes in Electrical Engineering, vol 890. Springer, Singapore. https://doi.org/10.1007/978-981-19-1870-4_51
Download citation
DOI: https://doi.org/10.1007/978-981-19-1870-4_51
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-1869-8
Online ISBN: 978-981-19-1870-4
eBook Packages: EngineeringEngineering (R0)