随机规划软件支持的电厂可行性研究

A. Sauhats, Gregory Pashnin, Jevgeņijs Kucajevs, Dmitrijs Soboļevskis
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引用次数: 1

摘要

电厂可行性研究是电厂长期设计、建设和调试的第一步。这一任务已有百年历史,但随着市场工具的实施,对电力系统运行和规划可行性研究的条件发生了实质性变化。应重新制定电厂利益相关者利益最大化的标准。准则可能包含不确定变量和随机变量。任务采用随机规划形式。出现了对额外大量信息的需求。结果,任务变得更加复杂,这就需要创造新的算法和软件工具来解决问题。本文对所开发的软件产品进行了描述和论证,并将其应用于实际工厂的可行性研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Power plants feasibility studies supported by stochastic programming software
The paper is dedicated to the power plants feasibility study, which can be considered as a first step of a long way design, construction and commissioning of power plant. This task is hundred years old, but with the market tools implementation on power systems operation and planning the feasibility study conditions change substantially. The criteria for maximizing the profit of stakeholders of power plant should be reformulated. The criteria may contain the uncertain and random variables. The task assumes stochastic programming form. The needs for additional large amount of information appear. As a result, the task becomes much more complicated which necessitates the creation of new algorithms and software tools for its solution. The paper is devoted to a description and justification of the developed software product and its application to real plant feasibility study.
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