应用图形处理器实现无功优化并行计算

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Abstract Based on the nonlinear primal-dual interior-point algorithm with discretization penalty embedded for solving reactive power optimization problems, parallel computing of linear correction equation occurred in optimization process is implemented using a high performance graphics processing unit (GPU). Computationally intensive parts in full optimization process are executed in GPU and the other ones are done in CPU. Also, single and double precision computing modes are compared. The proposed algorithm makes a good use of GPU’s powerful parallel processing capability and high memory bandwidth and remarkable speedup benefit is gained. Computational results on IEEE 118-bus system and three real systems including 538-bus, 1133-bus and 2212-bus systems demonstrate that reactive power optimization in single precision mode has the fastest speed and the best speedup and indeed speedup reaches almost 30 times on 2212-bus system.

Key words： Reactive-power optimization nonlinear primal-dual interior-point algorithm discretization penalty parallel computing graphics processing units

Received: 25 November 2009 Published: 07 March 2014

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	Huang Yulong
	Liu Mingbo

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Huang Yulong,Liu Mingbo. Implementation of Parallel Reactive-Power Optimization Computing Using Graphics Processing Unit[J]. Transactions of China Electrotechnical Society, 2011, 26(11): 182-190.

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http://dgjsxb.ces-transaction.com/EN/ OR http://dgjsxb.ces-transaction.com/EN/Y2011/V26/I11/182

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