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

机译:基于小生境和交叉选择算子的粒子群算法的水库优化调度研究

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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.
机译:为了克服传统的优化算法对油藏优化运行的弊端,如维数和早熟问题,进行了研究。提出了一种基于小生境,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对粒子的历史最佳位置进行了多样化处理。提出了利用NCSPSO进行油藏优化调度的数学模型和程序。该数学模型被应用于特定的油藏。研究结果表明,该方法在油藏优化调度中具有较高的效率和性能,并具有较高的能耗。 NCSPSO将是解决储层优化调度问题的一种新方法。

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