Abstract
Photovoltaic power generation has become one of the state’s strategic emerging industries. So the related technology is more and more important. Since the power of photovoltaic system fluctuates randomly, it has drawn much attention to smooth the power output of photovoltaic power generation. An optimal power smoothing control strategy of photovoltaic-energy storage system (PESS) is proposed based on fast particle swarm optimization (FPSO). First, it presented a new mathematical model which contains three PESS cost index including power generation, environmental pollution, and waste of resource. Then, it implemented a new renew strategy. In the former part of renew strategy, the traditional method is used to enhance the global searching ability. While in the latter part, the steepest descent method is applied to improve the local searching ability. The validate results verified that the method is accurate, fast, and easy to be put into practice of realizing optimal power distribution.
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
Wang F, Yu SJ, Su JH et al (2005) Research on photovoltaic grid connected power system. Trans China Electrotech Soc 5:72–74 (in Chinese)
Xin L, Wang LK, Xu WJ (2005) Establishment and solution on optimum economic dispatching model of combination of hydro-power and thermal power in Mengxi power grid. Power Syst Technol 23(3):10–13 (in Chinese)
Zhang LZ, Shu J, Lin XS et al (2000) Reactive power planning based on genetic algorithm. Proc CSEE 6:5–8 (in Chinese)
Sun YM, Wang CL, Zhang ZS et al (2005) Clustering analysis of power system load series based on ant colony optimization algorithm. Proc CSEE 18:40–45 (in Chinese)
Wang R, Gu W, Wu Z (2011) Economic and optimal operation of a combined heat and power microgrid with renewable energy resources. Automation Electr Power Syst 35(8):22–27 (in Chinese)
Kennedy J, Eberhart RC (1995) Particle swarm optimization. In: Proceedings of IEEE international conference on neural networks, Perth, Australia, pp 1942–1948
Acknowledgments
Project supported by the National Basic Research Program of China (973 Program) (2012CB215200); National Natural Science Foundation of China (50907021, 50837002); the “111” Project (B08013); the Chinese University Scientific Fund Project (11MG01, 09QX64); the project sponsored by the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry ([2011] No. 1139); Hebei Natural Science Foundation (E2012502034); Electric Power Youth Science and Technology Creativity Foundation of CSEE ([2012] No. 46).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer Science+Business Media New York
About this paper
Cite this paper
Ma, J., Shi, J., Wang, Z. (2014). Optimal Power Smoothing Control Strategy of Photovoltaic-Energy Storage System Based on a Fast Particle Swarm Optimization. In: Xing, S., Chen, S., Wei, Z., Xia, J. (eds) Unifying Electrical Engineering and Electronics Engineering. Lecture Notes in Electrical Engineering, vol 238. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4981-2_116
Download citation
DOI: https://doi.org/10.1007/978-1-4614-4981-2_116
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-4980-5
Online ISBN: 978-1-4614-4981-2
eBook Packages: EngineeringEngineering (R0)