Power Generation Technology ›› 2022, Vol. 43 ›› Issue (6): 892-900.DOI: 10.12096/j.2096-4528.pgt.22011

• New Energy • Previous Articles     Next Articles

Comprehensive Optimization of Access Point Selection for Offshore Wind Farm Integrated With Voltage Source Converter High Voltage Direct Current

Xiaoming LIU1, Zukuang TAN2, Zhenhua YUAN1, Yutian LIU2   

  1. 1.Economic and Technology Research Institute, State Grid Shandong Electric Power Company, Jinan 250021, Shandong Province, China
    2.Key Laboratory of Power System Intelligent Dispatch and Control of Ministry of Education (Shandong University), Jinan 250061, Shandong Province, China
  • Received:2022-01-20 Published:2022-12-31 Online:2023-01-03
  • Supported by:
    National Key R&D Program of China(2017YFB0902604);Science and Technology Project of State Grid Shandong Electric Power Company(52062519000R)

Abstract:

With the large-scale development of offshore wind power, the suitable access point to power grid for offshore wind farm is more beneficial for voltage source converter high voltage direct current (VSC-HVDC) power transmission. Aiming at large scale offshore wind farm integrated by the VSC-HVDC, the evaluation indexes of wind power accommodation capability, grid voltage stability, grid-connected point vulnerability and construction cost were proposed by analyzing the main influencing factors of grid-connected. Based on the theory of information entropy and fuzzy analytic hierarchy process, a combination weighting model was established to determine the index weights, , and a comprehensive optimization method of access point selection was proposed. Simulation results of eastern Shandong power grid of China integrated with offshore wind farm demonstrate that the proposed method enhances the capability of wind power accommodation and improves the security and stability of power grid.

Key words: offshore wind power, voltage source converter high voltage direct current (VSC-HVDC), access point selection, fuzzy analytic hierarchy process, security accommodation

CLC Number: