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Application of Teaching Learning Based Optimization in Long Term Optimal Reservoir Operation

机译:基于教学学习的优化在水库长期优化调度中的应用

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Long term optimal reservoir operation is a nonlinear optimization problem. This paper adopts Teaching Learning Based Optimization (TLBO) to solve the Long term scheduling for reservoirs. Firstly, the basic test function is used to verify that the TLBO algorithm has high accuracy. Then the TLBO algorithm is applied to the Long term optimal reservoir operation model and the competitive selection and semi-feasible domain are introduced to deal with the constraint conditions. Comparing the TLBO algorithm with the genetic algorithm and the dynamic programming algorithm, solving the available TLBO algorithm has the advantages of high calculation accuracy, short computation time.
机译:长期最佳油藏运行是一个非线性优化问题。本文采用基于教学的学习优化(TLBO)来解决水库的长期调度问题。首先,使用基本测试函数来验证TLBO算法具有较高的准确性。然后将TLBO算法应用于长期最优水库调度模型,并引入竞争选择和半可行域来处理约束条件。将TLBO算法与遗传算法和动态规划算法进行比较,解决了现有的TLBO算法具有计算精度高,计算时间短的优点。

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