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Development of demand forecast model for the transmission system master plan of Oman (2014–2030)

机译:阿曼输电系统总体计划需求预测模型的开发(2014-2030年)

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The objective of this paper is to present the methodology, approach and results of the demand forecast analysis used in the Transmission Master Plan of Oman 2014-2030. Oman Electricity Transmission Company and Tractebel Engineering analyze the challenges and review the existing load demand forecast studies used in Oman. Different studies analyze load forecasting at short to medium term. A spatialization of the long term load forecast is required in the Transmission Master Plan (2014-2030) of Oman in order to correctly address the transmission expansion plan. Several approaches are proposed to review and challenge existing studies and to spatialize the load demand forecast. The approaches are called global and areabased forecasting methods. Each approach is complimentary and allows to cross-check the adequacy of the method to the peculiarities of the local load demand and the accuracy of the data available. The global method allows linking the electricity consumption to the various economic indicators through mathematical regression relating the electrical energy consumption to socio-economic indicators. The area-based based method aims to spatialize the load forecast taking into account the consumption at regional level and the local characteristics of each area in the Sultanate. The results of the load demand forecast analysis defined the area with very high growth, the amount of generation required in the firm of the Transmission Master Plan and accordingly the least cost transmission network development plan.
机译:本文的目的是介绍在2014-2030年阿曼传输总计划中使用的需求预测分析的方法,方法和结果。阿曼电力传输公司和Tractebel工程公司分析了挑战并回顾了阿曼使用的现有负荷需求预测研究。不同的研究分析了短期到中期的负荷预测。为了正确解决传输扩展计划,阿曼的传输总体规划(2014-2030)中需要对长期负荷预测进行空间化。提出了几种方法来审查和挑战现有研究并空间化负荷需求预测。这些方法称为全局和基于区域的预测方法。每种方法都是互补的,并且可以交叉检查该方法是否适合本地负载需求的特性以及可用数据的准确性。全局方法允许通过将电能消耗与社会经济指标联系起来的数学回归将电能消耗与各种经济指标联系起来。基于区域的方法旨在将负荷预测空间化,同时考虑到区域级别的消耗量和苏丹国每个区域的局部特征。负荷需求预测分析的结果定义了一个非常高的增长区域,输电总计划公司所需的发电量以及相应的成本最低的输电网络发展计划。

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