How to measure the power generation performance of photovoltaic power plants? What are the decisive factors for full hours

With the advent of the parity era, small and medium-sized players who previously entered the photovoltaic industry due to industry subsidies and other reasons have become more clear choices to withdraw through power plant asset transactions when the subsidies are in arrears. The risks involved in the asset trading process of photovoltaic power plants can be summarized into three major categories: technology, finance and business. Among the many considerations, the level of power generation of photovoltaic power plants is often an important part of asset transactions and final pricing, and it is also the most latent risk. Of the ring. So, how do we measure the power generation performance of a photovoltaic power plant? What are the influencing factors?

Core index of photovoltaic power generation capacity

In the IEC61724 standard, the core recommended indicators for measuring the power generation capacity of a photovoltaic power station mainly include Yr, Yf and PR values. The three definitions and logical relationships are as follows:


The definition of the evaluation index parameter of photovoltaic power generation performance in IEC61724

It can be seen from the above table that, without considering the temperature coefficient, the ratio of the PV plant's full generating hours (Yf) to the theoretical full generating hours (Yr) within a period of time is the power plant's PR value during that period. Among them, the full-hours of photovoltaic power plants mainly reflect the power generation capacity of photovoltaic power plants. In the data published by scientific institutions such as China Electricity Council and the Academy of Electric Power, full-hours are often used as an important reference index for photovoltaic power plants. .

The calculation of the full-time of photovoltaic power plants depends on the accuracy of the value of the photovoltaic power plants. In the power generation process of the photovoltaic power plant, many factors such as light resources, equipment selection (including components, inverters, transformers and collection lines, etc.), shadow dust shielding, and temperature loss determine the power generation capacity of the photovoltaic power plant.

Take the first phase of Datong PV as an example:

1. Impact of lighting resources

The site selection of the project leaders of Datong Phase is determined by drawing lots. Although the lighting resources are in the same area, they are limited by the topography and surrounding shelters, but there is still a large amount of radiation on the slope of each area. difference. The following is a statistical chart of the total radiation in the slope of the front runners of Datong in January-December 2018.

Data source: General Institute of Water Regulations (full utilization hours means full hours)

As can be seen from the above figure, the total annual radiation of Guodian Investment, Chint, and Jingao is the lowest, and the total annual radiation of China Merchants New Energy and Tongmei is the highest; in terms of corresponding power generation performance, China Merchants and Tongmei China's power generation is naturally far ahead, while Guodian and Jingao are relatively low.

2. Influence of equipment selection

Take the equipment with the largest investment proportion as an example, the performance of the equipment will directly affect the final power generation.

From the point of view of product selection, power plant investors represented by the Three Gorges and Sungrow Power Sources, whose component supply mainly comes from Jingao, and under good lighting resource conditions, the project's power generation has achieved relatively impressive results.

Image source: Water Regulatory Institute

It can be seen from this that lighting resources have a crucial impact on the power generation of photovoltaic power plants, and the importance of the division of one, two, and three resource areas is self-evident.

3. The effect of shadow dust blocking

Despite the light resource conditions, the shadow of dust and the failure of the fault will affect the final calculation result of the full-hours of the photovoltaic power plant. Among the leading projects of the Datong Phase, coal mining operations are still in progress at the location of the Jingao Photovoltaic Project, and its dust shielding is more serious than that of several other project sites. The specific situation is shown in the figure below:

It can be seen from the figure above that the southern suburbs have a lot of dust and the left cloud districts have a small amount of dust, which also results in the photovoltaic square array in the southern suburbs being more affected by shadows and the power generation of the power station is relatively low. Combined with the reorganized power generation chart in the above figure (re-divided by area), the 7 projects located in the Nanjiao area are more severely affected by occlusion than the remaining 6 projects in the Zuoyun area.

It can be seen that there are many factors that affect the power generation. Not only the lighting resources, equipment selection, and shadow dust will affect the power generation of the power station. Others such as site selection, equipment failures, and power grid limit generation will also affect the power generation and power generation of the power station. The overall evaluation has an impact. Different degrees of over-installation of photovoltaic power plants, as well as differences in the statistical calibers of different agencies, will also have a great impact on the calculation of the full hours of the power plant.

Therefore, what are the key parameters that determine the performance of the power plant, how the key parameters are measured by actual operation, what factors affect the key parameters in the actual operation process, how to quantify the influence of the relevant factors, etc., need to be considered in the evaluation model of the power plant .

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