大电网多目标动态优化调度的解耦算法及并行计算

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Abstract This paper proposes a multi-objective decomposition algorithm and parallel computing, based on normal boundary intersection (NBI) method and prime-dual interior point method, to minimize fuel consumption, emission of atmospheric pollutants and power purchase for large-scale power systems considering wind power penetration. The proposed algorithm firstly transforms a multi-objective optimization problem into a series of single objective optimization problems, and then decouples and reduces the correction equations of these single objective optimization problems based on the special structure of their coefficient matrices, at last decouples static and dynamic variables . Finally, a series of uniform distributed Pareto optimal sets, providing guidance for operators, is obtained rapidly by Matlab parallel computing platform. Computational results on a real provincial power system demonstrate that the proposed algorithm can obtain the Pareto optimal sets rapidly and efficiently to the multi-objective dynamic optimal dispatch problem.

Key words： Dynamic optimal dispatch multiple objectives normal boundary intersection method interior point method decomposition parallel computing

Received: 16 March 2014 Published: 01 April 2016

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TM734

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	Yang Liuqing
	Lin Shunjiang
	Liu Mingbo

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Yang Liuqing,Lin Shunjiang,Liu Mingbo. Decomposition Algorithm for Multi-objective Dynamic Optimal Dispatch of Large-Scale Power Systems and Parallel Computing[J]. Transactions of China Electrotechnical Society, 2016, 31(6): 177-186.

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https://dgjsxb.ces-transaction.com/EN/ OR https://dgjsxb.ces-transaction.com/EN/Y2016/V31/I6/177

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