Grid-connection transmission system planning of offshore wind farm cluster consider the project income

Author:

He Fang,Liu Yang,Feng Qirui,Wei Shurong

Abstract

The scale and cluster development of offshore wind power faces the constraints of high construction cost, limited submarine corridor resources, etc. Under the background of offshore wind power parity development, it is urgent to consider the actual constraints of the project and the impact of project income on the owner, and the construction of offshore public station and the optimal selection of transmission method have become an important measure to reduce the cost and increase the efficiency of offshore wind power. A life-cycle cost model for offshore wind farm cluster grid-connection system planning is constructed to consider the project income, and the offshore public station location and capacity, transmission method, and high-voltage cable selection and path are optimized, which are solved by an improved single parent genetic algorithm and a topology repair strategy based on graph theory. The results show that the proposed planning scheme can effectively improve the life-cycle project income of the grid-connection system and provide technical support for the grid-connection planning of large-scale offshore wind farm clusters.

Publisher

Frontiers Media SA

Reference20 articles.

1. Sharing lessons learned and good practice in offshore transmission ClayR. 2014

2. Optimization of the internal grid of an offshore wind farm using Genetic algorithm;Dahmani,2013

3. Transmission system topology optimization for large-scale offshore wind integration;Ergun;IEEE T Sustain Energ,2012

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