What is the complementary coefficient between wind power stations and photovoltaic stations?

Utilizing the clustering outcomes, we computed the complementary coefficient R between the wind speed of wind power stations and the radiation of photovoltaic stations, resulting in the following complementary coefficient matrix (Fig. 17.).

Is there a complementarity evaluation method for wind power?

However, less attention has been paid to quantify the level of complementarity of wind power, photovoltaic and hydropower. Therefore, this paper proposes a complementarity evaluation method for wind power, photovoltaic and hydropower by thoroughly examining the fluctuation of the independent and combined power generation.

Which cluster of wind power stations exhibit the weakest complementarity with radiation?

Analysis of the matrix reveals that the 4th, 5th, 7th, and 8th clusters of wind power stations exhibit the weakest complementarity with the radiation of photovoltaic stations. In contrast, the 5th, 7th, 8th, and 10th clusters of photovoltaic stations similarly demonstrate poor complementarity with the wind speed of wind power stations.

What is complementarity between wind and photovoltaic sources?

The work of analyzed the complementarity between wind and photovoltaic sources when applied to on-grid and isolated micro-networks. The relative fluctuation rate was used as an index to quantify the complementarity between these sources. This index quantifies the mismatch between the equivalent power generated and the demand curve.

Does the power station scale influence complementary characteristics?

Meanwhile, in order to eliminate the influence of the power station scale on complementary characteristics and facilitate the analysis of the complementarity between different renewable energies, the theoretical power generation of PV, WP, and HP is essential to be normalized.

What are the data preprocessing and complementarity analyses of PV–WP–hp?

Data preprocessing Variability and complementarity analyses of PV–WP–HP are based on the hourly meteorological data of a certain area in North China in 2014, which covers the series of irradiation intensity, temperature, wind speed, wind direction, and runoff.