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Unit commitment with identical units successive subproblem solving method based on Lagrangian relaxation

机译:基于拉格朗日松弛的等单元单元承诺连续子问题求解方法

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摘要

When the Lagrangian relaxation based methods are applied to solve power system unit commitment, the identical solutions to the subproblems associated with identical units may cause the dual solution to be far away from the optimal solution and serious solution oscillations. As a result, the quality of the feasible solution obtained may be very unsatisfactory. This issue has been long recognized as an inherent disadvantage of Lagrangian relaxation based methods. In this paper, the homogeneous solution issue is identified and analyzed through a simple example. Based on this analysis, a successive subproblem solving method is developed. The new method combines the concepts of augmented Lagrangian relaxation and surrogate subgradient to produce a good search direction at the high level. The low level subproblems including those corresponding to the identical units are solved successively so that the commitments of the identical units may not be homogeneous in the dual solution. Compared with the standard Lagrangian relaxation method, the new method can obtain better dual solutions and avoid the solution oscillations. Numerical testing shows the new method is efficient and the quality of the feasible solution is greatly improved.
机译:当应用基于拉格朗日松弛法的方法来求解电力系统单元的承诺时,与相同单元相关联的子问题的相同解可能会导致对偶解远离最佳解和严重的解振荡。结果,获得的可行解决方案的质量可能非常不令人满意。长期以来,这个问题一直是基于拉格朗日松弛法的固有缺点。在本文中,通过一个简单的例子识别并分析了齐次求解问题。基于此分析,开发了一种连续的子问题求解方法。新方法结合了增强的拉格朗日弛豫和替代次梯度的概念,可以在高水平上产生良好的搜索方向。依次解决了包括与相同单元相对应的低级子问题,以便在对偶解决方案中相同单元的承诺可能不一致。与标准拉格朗日松弛法相比,新方法可以获得更好的对偶解,并且避免了解的振荡。数值测试表明,该方法是有效的,并且可行解的质量得到了极大的提高。

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