Education, Science, Technology, Innovation and Life
Open Access
Sign In

Project Management Strategies in the Construction of Photovoltaic Power Plants

Download as PDF

DOI: 10.23977/ieim.2024.070204 | Downloads: 3 | Views: 86

Author(s)

Jianjian Huang 1

Affiliation(s)

1 Nanning Lineng New Energy Co., Ltd., Nanning, Guangxi, 530000, China

Corresponding Author

Jianjian Huang

ABSTRACT

Photovoltaic power plant project management is a complex and difficult task that requires various aspects such as project management, technical research, equipment procurement, installation and commissioning. At the same time, China’s photovoltaic power station projects also face problems such as poor construction environment, unstable equipment quality, and fast technological updates. This article combines the actual situation of photovoltaic power station project management and conducts in-depth research on how to apply project management to the construction of photovoltaic power station projects. With specific examples, it elaborates on the implementation effect of efficient management strategy in engineering construction. Meanwhile, this article can also optimize and improve existing debugging techniques, provide corresponding improvement measures, and evaluate their role in improving project efficiency and quality. The cost before the design phase experiment is 1.2 million yuan, and the cost after the experiment is 1.05 million yuan, with a cost reduction ratio of 0.143 yuan; the cost before the procurement phase experiment is 2.5 million yuan, and the cost after the experiment is 2.3 million yuan. The cost reduction ratio is 0.087. The research value of this article mainly lies in the empirical analysis and optimization of the project management system for photovoltaic power station engineering.

KEYWORDS

Photovoltaic Power Plants, Engineering Construction Projects, Management Strategies, Cost Reduction Ratio

CITE THIS PAPER

Jianjian Huang, Project Management Strategies in the Construction of Photovoltaic Power Plants. Industrial Engineering and Innovation Management (2024) Vol. 7: 25-31. DOI: http://dx.doi.org/10.23977/ieim.2024.070204.

REFERENCES

[1] Ma Yitao. Research on new technology of multi-source reactive power voltage control for photovoltaic power plants. Communication power technology, 2023, 40(1):90-92.
[2] Zhu Huimin, Yuan Shun, Li Chunlai. Control strategy and analysis of virtual synchronous generator of photovoltaic power station with energy storage link. Electrical measurement and instrumentation, 2023, 60(5):45-50.
[3] Li Tong, Han Xueshan. Reactive power optimization method for time-varying tracking of the maximum output power of grid-connected photovoltaic power plants. Journal of Electrotechnical Technology, 2023, 38(11):2921-2931.
[4] Sun Mingwei. Research on the design and management of pumped storage power station construction project. Engineering technology research, 2023, 5(1):100-102.
[5] Ghodbane M, Boumeddane B, Hussein A, et al. Optical numerical investigation of a solar power plant of parabolic trough collectors. Journal of Thermal Engineering, 2021, 7(3): 550-569.
[6] Elazab O S, Debouza M, Hasanien H M, et al. Salp swarm algorithm‐based optimal control scheme for LVRT capability improvement of grid‐connected photovoltaic power plants: design and experimental validation. IET Renewable Power Generation, 2020, 14(4): 591-599.
[7] Ding W, Bauer T. Progress in research and development of molten chloride salt technology for next generation concentrated solar power plants. Engineering, 2021, 7(3): 334-347.
[8] Di Lorenzo G, Araneo R, Mitolo M, et al. Review of O&M practices in PV plants: Failures, solutions, remote control, and monitoring tools. IEEE Journal of Photovoltaics, 2020, 10(4): 914-926.
[9] Shakya S. A self-monitoring and analyzing system for solar power station using IoT and data mining algorithms. Journal of Soft Computing Paradigm, 2021, 3(2): 96-109.
[10] Sohani A, Shahverdian M H, Sayyaadi H, et al. Enhancing the renewable energy payback period of a photovoltaic power generation system by water flow cooling. International Journal of Solar Thermal Vacuum Engineering, 2021, 3(1): 73-85.
[11] Daikun W, Qi F, Shuaishuai C. Research of BIM Technology in Urban Rail Operation and Maintenance and Application. International Equipment Engineering and Management: English Version, 2023, 28(3):180-192. 
[12] Vanrun Verman. Random Power Flow Calculation of Distribution System based on Distributed Generation. Distributed Processing System, 2020, 1(1): 17-24.

Downloads: 12561
Visits: 285209

All published work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright © 2016 - 2031 Clausius Scientific Press Inc. All Rights Reserved.