Monitoring Technology of Energy Storage Power Stations based on Discharge Control Scheduling Algorithm

doi:10.23940/ijpe.21.01.p9.95102

Int J Performability Eng ›› 2021, Vol. 17 ›› Issue (1): 95-102.doi: 10.23940/ijpe.21.01.p9.95102

• Orginal Article • Previous Articles Next Articles

Monitoring Technology of Energy Storage Power Stations based on Discharge Control Scheduling Algorithm

Jingyuan Liu^a, Xu Yang^b, Jingang Guo^a, Da Wang^a^*, and Hai Zhao^a

^aState Grid East Inner Mongolia Electric Power Research Institute, Hohhot, 010020, China
^bXining Power Supply Company of State Grid Qinghai Electric Power Company, Xining, 810003, China

Submitted on ; Revised on ; Accepted on
Contact: * Corresponding author. E-mail address: 1002651442@qq.com

Abstract

Abstract:

The traditional monitoring technology of energy storage power stations has problems of poor control effect and low dispatching accuracy. Based on this, this paper studies the monitoring technology of energy storage power stations based on the discharge control scheduling algorithm. From the aspects of discharge control, daily maintenance, discharge process monitoring and power utilization rate of the energy storage station, the precise control of the discharge process is realized. The discharge control scheduling algorithm of the energy storage station is used for comprehensive analysis and evaluation. The algorithm can realize the dynamic record of multiple data entries in the discharge process of the energy storage station and realize diversified analysis and intelligent matching. Through the discharge control scheduling algorithm of the energy storage power station, the whole process monitoring of the energy storage power station is realized, so as to improve the working efficiency and reduce the cost of the discharge control link. The experimental results show that the monitoring technology based on the discharge control scheduling algorithm has the advantages of high control accuracy and fast response, which can effectively improve the monitoring efficiency of the energy storage power station.

Key words: energy storage station, PID control algorithm, discharge control scheduling, monitoring technology

Jingyuan Liu, Xu Yang, Jingang Guo, Da Wang, and Hai Zhao. Monitoring Technology of Energy Storage Power Stations based on Discharge Control Scheduling Algorithm [J]. Int J Performability Eng, 2021, 17(1): 95-102.

Add to citation manager EndNote|Reference Manager|ProCite|BibTeX|RefWorks

References 15.

1.	L. Wang, F. Bai, R. Yan,T. K. Saha, “Real-Time Coordinated Voltage Control of PV Inverters and Energy Storage for Weak Networks with High PV Penetration,” IEEE Transactions on Power Systems, Vol. 33, No. 3, pp. 3383-3395, 2018
2.	Y. Xue, X. Zhang,C. Yang, “AC Filterless Flexible LCC HVDC with Reduced Voltage Rating of Controllable Capacitors,” IEEE Transactions on Power Systems, Vol. 33, No. 5, pp. 5507-5518, 2018
3.	H. Ghaebi, B. Farhang, H. Rostamzadeh,T. Parikhani, “Energy, Exergy, Economic and Environmental (4E) Analysis of using City Gate Station (CGS) Heater Waste for Power and Hydrogen Production: A Comparative Study,” International Journal of Hydrogen Energy, Vol. 43, No. 3, pp. 1855-1874, 2018
4.	S. Blaifi, S. Moulahoum, R. Benkercha, B. Taghezouit,A. Saim, “M5P Model Tree based Fast Fuzzy Maximum Power Point Tracker,”Solar Energy, Vol. 163, pp. 405-424, 2018
5.	Z. Wei, A. Bhattarai, C. Zou, S. Meng, T. Lim,M. Skyllas-Kazacos, “Real-Time Monitoring of Capacity Loss for Vanadium Redox Flow Battery,”Journal of Power Sources, Vol. 390, pp. 261-269, 2018
6.	R. Mandeya, C. Chen, V. Pickert, R. Naayagi,B. Ji, “Gate-Emitter Pre-Threshold Voltage as a Health Sensitive Parameter for IGBT Chip Failure Monitoring in High Voltage Multichip IGBT Power Modules,” IEEE Transactions on Power Electronics, Vol. 34, No. 9, pp. 9158-9169, 2019
7.	G. Anagnostou, F. Boem, S. Kuenzel, B. C. Pal,T. Parisini, “Observer-based Anomaly Detection of Synchronous Generators for Power Systems Monitoring,” IEEE Transactions on Power System, Vol. 33, No. 4, pp. 4228-4237, 2018
8.	P. Brunet, R. Rincón, Z. Matouk, M. Chaker,F. Massines, “Tailored Waveform of Dielectric Barrier Discharge to Control Composite Thin Film Morphology,” Langmuir, Vol. 34, No. 5, pp. 1865-1872, 2018
9.	E. Gonzalez-Dominguez, G. Fedele, T. Caffi, L. Deliere, P. Sauris, D. Gramaje, et al., “A Network Meta-Analysis Provides New Insight into Fungicide Scheduling for the Control of Botrytis Cinerea in Vineyards,”Pest Management Science, Vol. 75, pp. 324-332, 2019
10.	S. Zhang, Z. Wang, D. Ding, G. Wei, F. E. Alsaadi,T. Hayat, $H_{\infty}$ Fuzzy Control Subject to Fading Channels,” IEEE Transactions on Fuzzy Systems, Vol. 26, No. 1, pp. 142-154, 2018
11.	Z. Zhang, F. Hu,N. Zhang, “Ant Colony Algorithm for Satellite Control Resource Scheduling Problem,” Applied Intelligence, Vol. 48, No. 10, pp. 1-11, 2018
12.	R. W. Koller, L. A.Ricardez-Sandoval, and L. T. Biegler, “Stochastic Back‐off Algorithm for Simultaneous Design, Control, and Scheduling of Multiproduct Systems under Uncertainty,”AIChE Journal, Vol. 64, 2018
13.	D. M. Bravata, J. Daggy, J. Brosch, J. J. Sico, F. Baye, L. J. Myers, et al., “Comparison of Risk Factor Control in the Year After Discharge for Ischemic Stroke Versus Acute Myocardial Infarction,”Stroke, Vol. 43, 2018
14.	E. Fischer, D. Gupta, L. Suhan, N. Practictioner, M. Siegel, H. Patel, et al., “A Pilot Study for in-patient Screening of Stroke Patients for Obstructive Sleep Apnea in a Community Hospital, and to Assess Follow up of Suspected OSA,” Oxford University Press, 2019
15.	M. Haselden and T. Smith, “Discharge Planning Practices and Family Involvement in Transitions to Outpatient Care Following Discharge from Hospital Psychiatric Units,” Schizophrenia Bulletin, Vol. 44, No. suppl_1, pp. S108-S109, 2018

Monitoring Technology of Energy Storage Power Stations based on Discharge Control Scheduling Algorithm

PDF

Knowledge

Abstract

Cite this article

share this article

References 15.

Related Articles 0

Recommended 0