Abstract
Power flow transfer (PFT) analysis under various anticipated faults in advance is important for securing power system operations. In China, PSD-BPA software is the most widely used tool for power system analysis, but its input/output interface is easily adapted for PFT analysis, which is also difficult due to its computationally intensity. To solve this issue, and achieve a fast and accurate PFT analysis, a modular parallelization framework is developed in this paper. Two major contributions are included. One is several integrated PFT analysis modules, including parameter initialization, fault setting, network integrity detection, reasonableness identification and result analysis. The other is a parallelization technique for enhancing computation efficiency using a Fork/Join framework. The proposed framework has been tested and validated by the IEEE 39 bus reference power system. Furthermore, it has been applied to a practical power network with 11052 buses and 12487 branches in the Yunnan Power Grid of China, providing decision support for large-scale power system analysis.
Highlights
Many researchers have carried out in-depth analysis on massive blackouts that have occurred repeatedly worldwide, such as on 30–31st July 2012 in India [1, 2], 28th September 2003 in Italy [3], 4th November 2006 in Western Europe [4], 14th August 2003 in USA and Canada [5], and so on
To achieve a fast and accurate implementation for power flow transfer (PFT) analysis of large-scale power systems, this paper proposes a modular parallelization framework based on existing simulation tools
The results show that the proposed framework can feasibly guarantee accuracy and efficiency, and is suitable for large-scale power systems
Summary
Many researchers have carried out in-depth analysis on massive blackouts that have occurred repeatedly worldwide, such as on 30–31st July 2012 in India [1, 2], 28th September 2003 in Italy [3], 4th November 2006 in Western Europe [4], 14th August 2003 in USA and Canada [5], and so on. In China, the China Electric Power Research Institute (CEPRI), after having introduced the BPA (Bonneville Power Administration) program from United States in the 1980s, further developed the PSD-BPA software [15, 16] and promoted it nationwide Nowadays, it is one of the indispensable analysis tools for power system analysis [17]. It is not able to update model parameters automatically, and it is tedious to filter useful information from results that are in text form These factors make it hard to do PFT analysis directly without auxiliary measures. To achieve a fast and accurate implementation for PFT analysis of large-scale power systems, this paper proposes a modular parallelization framework based on existing simulation tools.
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