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An algorithm for solving the dual problem of hydrothermal scheduling

机译:一种解决水热调度双重问题的算法

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Lagrangian relaxation has been widely used for the hydrothermal scheduling of power systems. The idea is to use Lagrangian multipliers to relax system-wide demand and reserve requirements, and decompose the problem into unit-wise subproblems that are much easier to solve. The multipliers are then updated at the high level, most commonly by using a subgradient method (SGM). Since the high level dual function is nondifferentiable with many "ridges", the SGM may zigzag across ridges resulting in slow convergence. This paper presents an algorithm that utilizes a recently developed "reduced complexity bundle method" (RCBM) to update the multipliers at the high level. The RCBM is a kind of "bundle method" that enjoy faster convergence compared to SGM, but has much reduced complexity as compared to a conventional bundle method. Testing results show that RCBM can find better directions, avoid zigzagging behavior and obtain better dual and feasible solutions as compared to the SGM.
机译:拉格朗日松弛已被广泛用于电力系统的水热调度。想法是使用拉格朗日乘子来放宽系统范围内的需求和储备需求,并将问题分解为更易于解决的单位子问题。然后,乘数在较高级别进行更新,最常见的方法是使用次梯度方法(SGM)。由于高级双重功能对于许多“山脊”是不可区分的,因此SGM可能会在山脊上呈锯齿形,从而导致收敛缓慢。本文提出了一种算法,该算法利用最近开发的“降低复杂度捆绑方法”(RCBM)来高级别更新乘法器。 RCBM是一种“捆绑方法”,与SGM相比,收敛速度更快,但与传统捆绑方法相比,其复杂性大大降低。测试结果表明,与SGM相比,RCBM可以找到更好的方向,避免曲折行为并获得更好的对偶可行的解决方案。

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