Journal of Modern Power Systems and Clean Energy

ISSN 2196-5625 CN 32-1884/TK

Electrical System Planning of Large-scale Offshore Wind Farm Based on N+ Design Considering Optimization of Upper Power Limits of Wind Turbines
Author:
Affiliation:

1.Department of Electrical Power Engineering, Shanghai University of Electric Power, Shanghai 200090, China
2.Department of Electrical Engineering and Computer Science, The University of Tennessee, Knoxville, TN 37996, USA

Fund Project:

This work was supported by the National Natural Science Foundation of China (No. 51907115), the Major Natural Science Project of Shanghai Municipal Education Commission (No. 2021-01-07-00-07-E00122), the Shanghai Science and Technology Innovation Action Plan Project (No. 22dz1206100), and the Program for Professor of Special Appointment (Eastern Scholar) at Shanghai Institutions of Higher Learning (No. TP2020066).

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    Abstract:

    Electrical system planning of the large-scale offshore wind farm is usually based on N -1 security for equipment lectotype. However, in this method, owing to the aggregation effect in large-scale offshore wind farms, offshore electrical equipment operates under low load for long periods, thus wasting resources. In this paper, we propose a method for electrical system planning of the large-scale offshore wind farm based on the N+ design. A planning model based on the power-limited operation of wind turbines under the N+ design is constructed, and a solution is derived with the optimization of the upper power limits of wind turbines. A comprehensive evaluation and game analysis of the economy, risk of wind abandonment, and environmental sustainability of the planned offshore electrical systems have been conducted. Moreover, the planning of an in-field collector system, substation, and transmission system of an offshore electrical system based on the N+ design is integrated. For a domestic offshore wind farm, evaluation results show that the proposed planning method can improve the efficiency of wind energy utilization while greatly reducing the investment cost of the electrical system.

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History
  • Received:October 12,2022
  • Revised:January 08,2023
  • Online: November 16,2023