A Method of Wind Farm Equivalence Based on Multi-objective Optimization Algorithm

Abstract

The invention discloses a method for wind farm equivalence based on a multi-objective optimization algorithm. The wind turbines are divided into K clusters through the K-means algorithm, and then the current collection system equivalent and the wind turbine equivalent are performed within each cluster, wherein The wind turbine equivalence method is mainly improved: first, based on the wind speed fluctuation and fault conditions, the trajectory sensitivity method is used to select the parameters to be identified, and then the equivalent wind turbine with the largest capacity is selected as the wind turbine to be identified, and finally the NSGA-II multi-objective The optimization algorithm identifies the parameters of the equivalent machine, so as to obtain the wind farm equivalent model suitable for both wind speed fluctuation disturbance and fault disturbance.

Description

Technical field [0001] The present invention belongs to the field of power systems, and more specifically, relates to a method of performing wind farms based on a multi-objective optimization algorithm. Background technique [0002] In the new century, the rapid development of social economy, the demand of energy increased sharply, and the problem of energy shortage is increasingly prominent. The wind power is a new energy power generation technology with good technological and sophisticated, development prospects. The wind power industry has developed rapidly in my country. China's renewable energy learned data show that my country's wind electricity capacity has increased year by year from 2006 to 2016, and the cumulative installed capacity of 2016 has reached 169 million kilowatts. World Meteorological Organization (WMO) is estimated that there is approximately 20 billion kilowatts on the earth, which is more than 10 times more than the total amount of water conservancy and po...

AI Technical Summary

Problems solved by technology

However, in actual wind farms, wind speed fluctuations and fault disturbances often coexist. In this article, the equivalent model obtained by parameter identification based on a certain disturbance may produce errors in another disturbance situation, so the single-objective optimization parameter identification method is difficult to guarantee Equivalent Accuracy and Effectiveness of Equivalent Model in Power System Analysis

Images