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New concepts of optimizing unit commitment and economic load dispatch costs in large scale power systems

机译:优化大型电力系统中机组投入和经济负荷分配成本的新概念

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Using suitable solution techniques to the unit commitment (UC) and economic load dispatch (ELD) problems play major role on finding an optimal power scheduling in electrical power system. The UC and ELD problems are to decide when and which generating units to commit and decommit, in order to minimize the total fuel cost over specified period subject to a large number of difficult constraints. Lagrangian relaxation (LR) has been widely used to solve UC and ELD. Recently bundling method (BM) has appeared to be one of the best multipliers updated techniques for LR. This method has promising and the fastest convergence characteristics for UC and ELD problems. For that reason, this paper is to solve the UC and ELD problems via LR, BM and interior point method. This paper explores also the best possible way of updating Lagrangian multipliers with minimum computation time using fast programming techniques.
机译:使用合适的解决方案技术解决机组承诺(UC)和经济负荷分配(ELD)问题,对找到电力系统中的最佳功率调度起着重要作用。 UC和ELD问题是要决定何时以及在哪个和哪些发电机组投产和退役,以在特定时期内将总燃料成本降到最低,但要考虑到许多困难的约束。拉格朗日松弛(LR)已被广泛用于求解UC和ELD。最近,捆绑方法(BM)似乎是LR的最佳乘数更新技术之一。对于UC和ELD问题,该方法具有有前途且最快的收敛特性。因此,本文将通过LR,BM和内点法解决UC和ELD问题。本文还探讨了使用快速编程技术以最少的计算时间更新拉格朗日乘数的最佳方法。

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