Generating capacity calculating method and system for water-cooling photovoltaic-photothermal power generating system

Abstract

The invention discloses a generating capacity calculating method and system for a water-cooling photovoltaic-photothermal power generating system based on an n-dimensional trapezoid fuzzy set. The method includes: calculating the output power added value of a photovoltaic power generating panel; using the n-dimensional generalized trapezoid fuzzy set to calculate the effective sunlight intensity of a preset region, and calculating the power generating power of the photovoltaic power generating panel of a water-cooling photovoltaic system according to the effective sunlight intensity; calculating the electric efficiency added value of a water-cooling photothermal system; calculating the power generating power of the water-cooling photothermal system according to high-temperature high-pressure steam quantity and the electric efficiency added value; using a statistical analyzing method to calculate the n-dimensional generalized trapezoid fuzzy set of the multi-valued fuzzy uncertain relation between the output power of the water-cooling photovoltaic system and sunshine duration; calculating the generating capacity of the water-cooling photovoltaic system and the generating capacity of the water-cooling photothermal system to obtain the generating capacity of the water-cooling photovoltaic-photothermal power generating system. By the method, the generating capacity of the water-cooling photovoltaic-photothermal power generating system can be predicted accurately.

Description

technical field [0001] The invention relates to the field of electrical technology, in particular to a method and system for calculating power generation of a water-cooled photovoltaic-photothermal integrated power generation system based on n-dimensional trapezoidal fuzzy sets. Background technique [0002] Renewable energy in the world has shown a rapid growth trend in recent years when connected to the grid. Photovoltaic power generation access growth is the fastest, with an annual growth rate of 60%, followed by wind power generation and biofuel power generation, with annual growth rates of 27% and 18%, respectively. The Ministry of Industry and Information Technology predicts that by 2030, the number of electric vehicles in the country will reach 60 million, and the peak charging power will reach 0.42TW, accounting for 18% of the estimated total installed capacity of 2.32TW. Therefore, it is an inevitable trend to connect distributed power generation, energy storage an...

AI Technical Summary

Problems solved by technology

Traditional probabilistic analysis methods and fuzzy analysis methods are limited by their own mechanisms, and have become obviously insufficient when dealing with such system random and fuzzy uncertain events or parameters, and the analysis effect cannot be close to the actual situation.

It can be seen that the existing technologies for calculating the daily power generation of distributed photovoltaic power generation systems for new energy users do not fully consider the uncertainty and randomness of the influencing factors, and the applicability, practicability and applicability of the calculation methods are also difficult to satisfy

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