Speed-up method to calculate distribution system security region

IF 4.8 2区 工程技术 Q2 ENERGY & FUELS
Jun Xiao , Ruiwan Liu , Guowei He , Haishen Liang , Kangli Wang
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引用次数: 0

Abstract

The calculation speed is critical for the practical application of the distribution system security region (DSSR). This paper proposes a new method to accelerate DSSR calculation. Firstly, the DSSR models are briefly introduced. Secondly, the influence mechanism of the main transformer capacity on the DSSR is observed and analyzed, forming the theoretical basis for simplifying the computation. Thirdly, a speed-up method based on neglecting the main transformer constraints is proposed. The method includes the calculation formula of the main transformer active capacity, forming main transformer active capacities for common distribution systems in China, and a convenient lookup table-based speed-up process. When the main transformer reaches or exceeds this active capacity condition, it is determined that the main transformer constraints can be ignored in the DSSR modeling, thereby simplifying the model and improving calculation speed. Finally, the proposed method is verified by an extended IEEE-RTBS-BUS4 case and a real distribution system case. The proposed method can accelerate the DSSR calculation by 701 times when it is individually used. The method is further integrated with another method, which combines two speed-up methods for the first time. As a result, the solving efficiency is improved by 6.02 times and 7.43 times, respectively, compared to using the two methods individually, which has achieved the best speed-up effect so far. This study finds that common distribution systems in China mostly satisfy the speed-up condition.
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来源期刊
Sustainable Energy Grids & Networks
Sustainable Energy Grids & Networks Energy-Energy Engineering and Power Technology
CiteScore
7.90
自引率
13.00%
发文量
206
审稿时长
49 days
期刊介绍: Sustainable Energy, Grids and Networks (SEGAN)is an international peer-reviewed publication for theoretical and applied research dealing with energy, information grids and power networks, including smart grids from super to micro grid scales. SEGAN welcomes papers describing fundamental advances in mathematical, statistical or computational methods with application to power and energy systems, as well as papers on applications, computation and modeling in the areas of electrical and energy systems with coupled information and communication technologies.
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