基于生态位和交叉选择算子粒子群优化算法的水库优化调度研究

2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC) Pub Date : 2016-10-01 DOI:10.1109/IMCEC.2016.7867178

J. Xie, Ni Wang, Gang Zhang, Tuo Xie

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引用次数: 0

摘要

该研究是为了克服经典优化算法在油藏优化调度中存在的维数诅咒和早熟等缺点。提出了基于小生境、交叉和选择算子(NCSPSO)的粒子群优化算法，该算法在优化过程中利用粒子的历史最佳位置进行多样化处理。详细介绍了利用NCSPSO进行水库优化调度的数学模型和程序。将数学模型应用于具体油藏。研究结果表明，该方法在油藏优化调度和增能方面具有较高的效率和效果。NCSPSO将成为解决水库优化调度问题的一种新方法。

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Study on optimal operation of reservoir based on the niche and cross-selection operators' particle swarm optimization algorithm

The study was done in order to overcome the disadvantages of classical optimization algorithm for reservoir optimal operation, such as curse of dimensionality and early maturity. Particle swarm optimization algorithm based on the niche, crossover and selection operators (NCSPSO), which carry out diversification treatment with history best position of particle in the process of optimization, was presented in this paper. The mathematical model and procedures for reservoir optimal operation by using NCSPSO were proposed in detail. The mathematical model was applied to specific reservoir. Study results show that this method has higher efficiency and performance in reservoir optimal operation and enhanced energy. NCSPSO will be a new method to solve the problem of reservoir optimal operation.

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2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC)

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