Research on Energy Storage Economy of User Side Photovoltaic Configuration

This article takes 8760 hours of load data from certain region as the research object, and quantitatively analyzes the characteristics of the 12 month monthly load curve and the 24 hour daily load curve throughout the year. The monthly load curve can effectively display the peak load of the year occurs between July and November, which is during the peak summer season. The 24-hour daily load curve indicates that the low load occurs at 8:00 am, 13:00 noon, and 8:00 pm, and load rapidly increases from 8:00 to 11:00 pm until entering the noon peak period at 12:00 pm. On the other hand, the output characteristic curve of photovoltaic power generation was analyzed, and it was found that there is a single or double peak characteristic in the photovoltaic output curve, with peak appearing between 5am and 5pm. Photovoltaic power generation curve can effectively support the output of the load curve. Based on the load characteristic curve and photovoltaic power generation curve, the yield analysis of light storage configuration is conducted: the light intensity is based on the average daily hourly rate in the past three years, and the load curve is based on the average daily hourly rate of 15 minutes in past year. Choose "two charge and two discharge" charging and discharging strategy for energy storage, that is, once during valley charging and discharging, and once during flat charging and discharging. Select a company with a relatively regular and smooth load curve as the case analysis object, with an average power of about 2000kW, an average standard deviation of 491kW, and average standard deviation coefficient of 0.36<1. Through the established calculation model, the yield curve of PV installed capacity is obtained. As the installed capacity of the photovoltaic projects gradually increases, the yield of photovoltaic projects shows a gradual downward trend. When the installed capacity is less than 1.5MW, the decline trend of yield is relatively gentle. When the installed capacity is greater than 1.5MW, the decline trend of yield becomes more severe. From this, it can be determined that when the optimal installed capacity is around 1.5MW, the yield is 9.37%, in order to achieve highest yield and maximum photovoltaic power generation.

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Publication Details

Published
2024-09-20
DOI
https://doi.org/10.1109/aidlnn65358.2024.00013
Primary Topic
Power Systems and Renewable Energy
Type
article
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article

Research on Energy Storage Economy of User Side Photovoltaic Configuration

Chongbo Sun, Shiling Zhang, Ye Fan, Xie Lu et al.
Power Systems and Renewable Energy
article

Research on Energy Storage Economy of User Side Photovoltaic Configuration

Chongbo Sun, Shiling Zhang, Ye Fan, Xie Lu, Wu Jungang, Qiang Xiao
article en

Abstract

This article takes 8760 hours of load data from certain region as the research object, and quantitatively analyzes the characteristics of the 12 month monthly load curve and the 24 hour daily load curve throughout the year. The monthly load curve can effectively display the peak load of the year occurs between July and November, which is during the peak summer season. The 24-hour daily load curve indicates that the low load occurs at 8:00 am, 13:00 noon, and 8:00 pm, and load rapidly increases from 8:00 to 11:00 pm until entering the noon peak period at 12:00 pm. On the other hand, the output characteristic curve of photovoltaic power generation was analyzed, and it was found that there is a single or double peak characteristic in the photovoltaic output curve, with peak appearing between 5am and 5pm. Photovoltaic power generation curve can effectively support the output of the load curve. Based on the load characteristic curve and photovoltaic power generation curve, the yield analysis of light storage configuration is conducted: the light intensity is based on the average daily hourly rate in the past three years, and the load curve is based on the average daily hourly rate of 15 minutes in past year. Choose "two charge and two discharge" charging and discharging strategy for energy storage, that is, once during valley charging and discharging, and once during flat charging and discharging. Select a company with a relatively regular and smooth load curve as the case analysis object, with an average power of about 2000kW, an average standard deviation of 491kW, and average standard deviation coefficient of 0.36<1. Through the established calculation model, the yield curve of PV installed capacity is obtained. As the installed capacity of the photovoltaic projects gradually increases, the yield of photovoltaic projects shows a gradual downward trend. When the installed capacity is less than 1.5MW, the decline trend of yield is relatively gentle. When the installed capacity is greater than 1.5MW, the decline trend of yield becomes more severe. From this, it can be determined that when the optimal installed capacity is around 1.5MW, the yield is 9.37%, in order to achieve highest yield and maximum photovoltaic power generation.

State Grid Corporation of China (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 69%
Power Systems and Renewable Energy
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