Open Access

ARTICLE

A Storage and Transmission Joint Planning Method for Centralized Wind Power Transmission

Xiuyu Yang^1,*, Qi Guo¹, Jianzhong Gui², Renyong Chai³, Xueyuan Liu¹

1 Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology (Northeast Electric Power University), Jilin, 132012, China
2 Electrical Engineering-PHD program at the University of Idaho, Idaho, 83843, America
3 State Grid Jiangxi Power Supply Company, Xinyu, 338025, China

* Corresponding Author: Xiuyu Yang. Email:

Computers, Materials & Continua 2021, 68(1), 1081-1097. https://doi.org/10.32604/cmc.2021.016375

Received 31 December 2020; Accepted 02 February 2021; Issue published 22 March 2021

Abstract

Centralized delivery has become the main operation mode under the scaled development of wind power. Transmission channels are usually the guarantee of out-delivered wind power for large-scale wind base. The configuration of transmission capacity, which has the features of low utilization and poor economy, is hardly matching correctly due to the volatility and low energy density of wind. The usage of energy storage can mitigate wind power fluctuations and reduce the requirement of out-delivery transmission capacity, but facing the issue of energy storage cost recovery. Therefore, it is necessary to optimize the allocation of energy storage while considering the problem of wind power transmission. This paper studies the joint optimization of large-scale wind power transmission capacity and energy storage, reveals the mechanism of energy storage in order to reduce the power fluctuation of wind power base and slow down the demand of transmission. Then, analyze the multi-functional cost-sharing mode of energy storage, improve the efficiency of energy storage cost recovery. Constructs the coordination optimization configuration model to deal with the problem of large-scale wind power transmission capacity and energy storage, and realizes the transmission capacity optimization coordination and optimization with energy storage. The proposed method is verified by a wind base located in Northeast China.

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Keywords

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