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Parallel Binary Sine Cosine with Optimal Priority List Algorithm for Unit Commitment

机译:具有最优优先级列表算法的并行二进制正弦余弦

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The scheduling of the generating units is a very important issue in the power system operation, which is defined as unit commitment problem (UCP). The aim of the UCP scheduling to minimize the total generation costs with satisfying the power demand, spinning reserve, ramp rate and other operation constraints. In this paper, a proposed procedure binary Sine Cosine (BSC) optimization technique with optimal priority list (OPL) algorithm is introduced to procedure solves UCP. The proposed procedure is achieved through two stages; the first stage aims to shrunk search space by introducing optimal priority list (OPL), while the second stage adopts the BSC optimization technique to find the optimal solution of UCP, by accelerating the search process of BSC optimization technique. The different types of priority lists are introduced with binary particle swarm optimization (BPSO) technique then these results are comprised to find the optimal binary result, a lowest cost and OPL. The procedure proposed is applied to IEEE test system. The results of these algorithms are compared to show the capability and efficiently of the optimal algorithm. Based on the obtained results, it can be concluding that, the proposed procedure gives the best results and saves the computational efforts.
机译:生成单元的调度是电力系统操作中的一个非常重要的问题,其被定义为单位承诺问题(UCP)。 UCP调度的目​​的是最大限度地减少满足电力需求,旋转储备,坡度和其他操作约束的总产生成本。本文介绍了具有最优优先级列表(OPL)算法的提出的程序二进制正弦余弦(BSC)优化技术,以解决UCP。所提出的程序是通过两个阶段实现的;第一阶段旨在通过引入最佳优先级列表(OPL)来缩放搜索空间,而第二阶段采用BSC优化技术,通过加速BSC优化技术的搜索过程来找到UCP的最佳解决方案。使用二进制粒子群优化(BPSO)技术引入了不同类型的优先级列表,然后这些结果包括找到最佳二进制结果,最低成本和OPL。提出的程序应用于IEEE测试系统。比较这些算法的结果以显示最佳算法的能力和有效。基于所获得的结果,可以得出结论,所提出的程序给出了最佳结果并节省了计算工作。

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