Next Article in Journal
A Hybrid Nine-Arm High-Voltage Inverter with DC-Fault Blocking Capability
Previous Article in Journal
IGDT-Based Wind–Storage–EVs Hybrid System Robust Optimization Scheduling Model
Open AccessArticle

Analysis of the Day-ahead Deviation Plan and Research on the Real-time Scheduling of Photovoltaic Greenhouses Based on Exergy Theory

1
College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
2
Electric Power Research Institute, State Grid Beijing Electric Power Company, Beijing 100075, China
*
Author to whom correspondence should be addressed.
Energies 2019, 12(20), 3849; https://doi.org/10.3390/en12203849 (registering DOI)
Received: 19 September 2019 / Revised: 3 October 2019 / Accepted: 4 October 2019 / Published: 11 October 2019
For the correction problem of day-ahead plan deviation caused by energy prediction deviation in day-ahead scheduling stage of photovoltaic greenhouses, an exergy analysis method is used to propose the deviation model of heat required for photovoltaic greenhouses. Based on the deviation model, a real-time optimization scheduling model is established. The deviation model not only considers the non-negligible exergy loss during heating process of pipes, but also considers the difference between heat and thermal exergy affected by the actual indoor temperature. The goal of the real-time scheduling model is to minimize the absolute value of the difference between the energy supply and demand prediction deviation to be corrected and the adjustment of multi-form energy storage and electric loads, so that develop the real-time adjustment plan of energy storage and electric loads. The analysis results of the actual photovoltaic greenhouse show that of the heat required by a greenhouse based on the exergy theory calculation, the exergy loss of the heating process accounts for about 10%–20% of the total thermal exergy required and it cannot be ignored, so the calculation results can reflect the actual heat required more accurately and the greenhouse temperature is more suitable for plant growth. Moreover, the proposed real-time scheduling model can correct the deviation of the day-ahead plan and improve local consumption. The promotion ratio can reach 7%. Finally, the farmers’ electricity purchases cost is reduced. Thereby the effectiveness of the proposed heat deviation model and real-time scheduling model is verified. View Full-Text
Keywords: photovoltaic greenhouse; exergy; deviation of the day-ahead plan; real-time scheduling photovoltaic greenhouse; exergy; deviation of the day-ahead plan; real-time scheduling
Show Figures

Figure 1

MDPI and ACS Style

Duan, X.; Ding, Y.; Niu, H.; Wang, Y. Analysis of the Day-ahead Deviation Plan and Research on the Real-time Scheduling of Photovoltaic Greenhouses Based on Exergy Theory. Energies 2019, 12, 3849.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop