2018 3rd International Conference on Insulating Materials, Material Application and Electrical Engineering | |
A Method for Calculating Wind PowerPenetration Limit Considering Wake Effect and Wind Speed Correlation | |
材料科学;无线电电子学;电工学 | |
Shanshan, Tu^1 ; Bu, Jing^1 ; Zhang, Ningyu^2 ; Zhou, Qian^2 ; Liu, Jiankun^2 | |
School of Automation, Nanjing University of Science and Technology, Nanjing | |
210094, China^1 | |
Power Company Research Institute State Grid Corporation of China, Nanjing | |
211100, China^2 | |
关键词: Chance-constrained programming; Large-scale wind power; Latin hypercube sampling; Limit analysis methods; Particle swarm optimization algorithm; Stochastic simulation technique; Wind power penetration; Wind power technology; | |
Others : https://iopscience.iop.org/article/10.1088/1757-899X/452/3/032086/pdf DOI : 10.1088/1757-899X/452/3/032086 |
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学科分类:材料科学(综合) | |
来源: IOP | |
【 摘 要 】
With the development of wind power technology, accurate analysis of wind power penetration limit is conducive to large-scale wind power safely connected to the power grid. At present, the related research does not consider the influence of wake effect. Therefore, this paper proposes a wind power penetration limit analysis method considering the wake effect and wind speed correlation. Firstly, this paper uses a stochastic simulation technique based on the Latin hypercube sampling (LHS) to simulate the wind speed of multiple wind farms with correlation, and establishes a wind power active output model considering the wake effect, thus the calculation model of wind power penetration limit is established based on the chance constrained programming (CCP) theory and solved by the particle swarm optimization algorithm. Taking the IEEE-30 node system as an example, the feasibility and effectiveness of the above model and algorithm in evaluating wind power access capability are verified.
【 预 览 】
Files | Size | Format | View |
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A Method for Calculating Wind PowerPenetration Limit Considering Wake Effect and Wind Speed Correlation | 247KB | download |