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首页> 外文期刊>International journal of green energy >An interval type-2 fuzzy stochastic approach for regional-scale electric power system under parameter uncertainty
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An interval type-2 fuzzy stochastic approach for regional-scale electric power system under parameter uncertainty

机译：参数不确定条件下区域规模电力系统的区间2型模糊随机方法

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摘要

In this study, an interval type-2 fuzzy stochastic linear programming method (IT2FSLP) is developed to support regional-scale electric power system (REM) planning. The IT2FSLP-REM model is based on an integration of interval type-2 fuzzy sets boundary programming and stochastic linear programming techniques enable it to have robust abilities to the deal with uncertainties expressed as type-2 fuzzy intervals and probabilistic distributions within a general optimization framework. Moreover, it can reflect dynamic decisions for energy supply and energy conversion processes, as well as provide capacity expansion options with multiple periods. The developed model is applied to a case of planning regional-scale energy and environmental systems to demonstrate its applicability. Based on a two-step solution algorithm, reasonable solutions have been obtained, which reflect tradeoffs among economic cost, environmental requirements, and energy-supply security. Thus, the lower and upper solutions of IT2FSLP-REM would then help energy authorities adjust or justify allocation patterns of regional energy resources and services.
机译：在这项研究中，开发了一种区间2型模糊随机线性规划方法（IT2FSLP）以支持区域规模的电力系统（REM）规划。 IT2FSLP-REM模型基于区间2型模糊集边界规划和随机线性规划技术的集成，使它具有强大的能力来处理在一般优化框架内表示为2型模糊区间和概率分布的不确定性。此外，它可以反映能源供应和能源转换过程的动态决策，并提供多个时期的容量扩展选项。所开发的模型适用于规划区域规模的能源和环境系统的案例，以证明其适用性。基于两步求解算法，已经获得了合理的解决方案，反映了经济成本，环境要求和能源供应安全之间的权衡。因此，IT2FSLP-REM的上下解决方案将帮助能源主管部门调整或证明区域能源资源和服务的分配模式。

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