Open Access

ARTICLE

Optimal Scheduling Strategy of Source-Load-Storage Based on Wind Power Absorption Benefit

Jie Ma¹, Pengcheng Yue², Haozheng Yu¹, Yuqing Zhang³, Youwen Zhang¹, Cuiping Li³, Junhui Li^3,*, Wenwen Qin³, Yong Guo¹
1 State Grid Henan Economic Research Institute, Zhengzhou, 450000, China
2 Zaozhuang Power Supply Company, State Grid Shandong Electric Power Company, Zaozhuang, 277000, China
3 Key Laboratory of Modern Power System Simulation and Control & Renewable Energy Technology, Ministry of Education, Northeast Electric Power University, Jilin, 132012, China
* Corresponding Author: Junhui Li. Email:

Energy Engineering https://doi.org/10.32604/ee.2024.048225

Received 01 December 2023; Accepted 22 January 2024; Published online 19 April 2024

Abstract

In recent years, the proportion of installed wind power in the three north regions where wind power bases are concentrated is increasing, but the peak regulation capacity of the power grid in the three north regions of China is limited, resulting in insufficient local wind power consumption capacity. Therefore, this paper proposes a two-layer optimal scheduling strategy based on wind power consumption benefits to improve the power grid's wind power consumption capacity. The objective of the upper model is to minimize the peak-valley difference of the system load, which is mainly to optimize the system load by using the demand response resources, and to reduce the peak-valley difference of the system load to improve the peak load regulation capacity of the grid. The lower scheduling model is aimed at maximizing the system operation benefit, and the scheduling model is selected based on the rolling scheduling method. The load-side scheduling model needs to reallocate the absorbed wind power according to the response speed, absorption benefit, and curtailment penalty cost of the two DR dispatching resources. Finally, the measured data of a power grid are simulated by MATLAB, and the results show that: the proposed strategy can improve the power grid’s wind power consumption capacity and get a large wind power consumption benefit.

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Keywords

Wind power consumption; two-layer optimal; demand response; rolling scheduling; wind curtailment penalty

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