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Inexact fuzzy programming methods for energy systems planning under uncertainty.

机译：不确定性下能源系统规划的不精确模糊规划方法。

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摘要

Energy has played a vital role in advancing human society and improving the world economy. Over the past three decades, excessive energy consumption has resulted in many energy-shortage crises and environmental issues, making the energy systems planning and management become an increasingly important task. To effectively support such a task, many optimization-based energy-system models were developed. However, the previous models were incapable of dealing with uncertainties associated with a variety of energy-related activities, such as energy supply/demand, pricing, and transmissions. Thus, as an extension to the previous studies, three advanced models with specific uncertainty-handling capabilities were developed in this study for supporting energy systems planning. An interval fuzzy possibilistic linear programming (IFPLP) model was developed for municipal energy system management under uncertainty. The IFPLP model effectively combined the interval programming, fuzzy possibilistic programming and mixed-integer programming approaches within a general optimization framework. The solutions of the IFPLP model could provide not only useful energy-allocation information for various energy consumers but also the associated possibilities. An inexact fuzzy-parameter quadratic programming (IFPQP) energy-system model was also developed, where the system uncertainties could be expressed as both intervals and fuzzy sets. The effects of economy-of-scale in energy systems were reflected in the quadratic objective functions. The applicability of IFPQP was well demonstrated by a hypothetical regional energy system. Finally, a hybrid fuzzy interval chance-constrained programming (FICCP) model was developed to support energy systems planning under hybrid uncertainties (expressed as stochastic, interval and fuzzy variables). The FICCP-model solutions could reflect complex tradeoffs between total cost and system reliability.
机译：能源在促进人类社会和改善世界经济方面发挥了至关重要的作用。在过去的三十年中，过多的能源消耗导致许多能源短缺危机和环境问题，使能源系统的规划和管理变得越来越重要。为了有效地支持这一任务，开发了许多基于优化的能源系统模型。但是，以前的模型无法处理与各种与能源相关的活动（例如，能源供应/需求，价格和传输）相关的不确定性。因此，作为先前研究的扩展，本研究开发了三种具有特定不确定性处理能力的高级模型来支持能源系统规划。建立了不确定性区间模糊可能线性规划（IFPLP）模型，用于市政能源系统管理。 IFPLP模型在通用优化框架内有效地结合了区间规划，模糊可能性规划和混合整数规划方法。 IFPLP模型的解决方案不仅可以为各种能源消费者提供有用的能源分配信息，而且还可以提供相关的可能性。还建立了不精确的模糊参数二次规划（IFPQP）能源系统模型，其中系统不确定性可以表示为区间和模糊集。规模经济对能源系统的影响反映在二次目标函数中。假设的区域能源系统充分证明了IFPQP的适用性。最后，建立了一个混合模糊区间机会约束规划（FICCP）模型，以支持混合不确定性（表示为随机，区间和模糊变量）下的能源系统规划。 FICCP模型解决方案可以反映总成本与系统可靠性之间的复杂权衡。

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  • 作者

    Li, Na.;

  • 作者单位

    The University of Regina (Canada).;

  • 授予单位 The University of Regina (Canada).;
  • 学科 Engineering Environmental.; Energy.
  • 学位 M.A.Sc.
  • 年度 2007
  • 页码 176 p.
  • 总页数 176
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 环境污染及其防治;能源与动力工程;
  • 关键词

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