首页> 外文会议>Power systems computation conference;PSCC 2011 Stockholm >EXPLORING THE PROGRESSIVE HEDGING CHARACTERISTICS IN THE SOLUTION OF THE MEDIUM-TERM OPERATION PLANNING PROBLEM
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EXPLORING THE PROGRESSIVE HEDGING CHARACTERISTICS IN THE SOLUTION OF THE MEDIUM-TERM OPERATION PLANNING PROBLEM

机译:在解决中期运营计划问题中探索渐进的套期保值特征

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This paper addresses the solution of the Medium-Term Operation Planning - MTOP problem which aims to define the generation for each power plant, minimizing the expected operating cost. In Brazil, given the predominance of the resources associated with hydro plants, this operation scheduling problem needs to take into account the randomness associated with water inflows to the reservoirs. As a consequence, it is necessary to solve a large scale stochastic programming problem which requires the use of advanced optimization tools in order to obtain a practical solution. In this context, the fundamental objective of this paper is to use of the Progressive Hedging - PH method to solve the MTOP problem. This method has structural properties that can explore the peculiarities of the MTOP problem. Thus, we assess the CPU performance for different schemes of decomposition. In order to evaluate the performance algorithms, the Brazilian hydro-thermal system is used as the test problem.
机译:本文解决了中期运营计划-MTOP问题的解决方案,该问题旨在定义每个电厂的发电量,从而最大程度地降低预期运营成本。在巴西,考虑到与水力发电厂有关的资源占主导地位,该调度问题需要考虑到与水库水流入有关的随机性。结果,有必要解决大规模随机编程问题,该问题需要使用先进的优化工具以获得实用的解决方案。在这种情况下,本文的基本目标是使用渐进式套期保值-PH方法来解决MTOP问题。此方法具有可探索MTOP问题特殊性的结构特性。因此,我们评估了不同分解方案的CPU性能。为了评估性能算法,使用巴西的水热系统作为测试问题。

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