A Model to optimize Mix Power Generation Selection of Distributed Renewable Plants for Expansion Planning with Reliability Criteria: An Application in Puno, Peru

2018 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D-LA) Pub Date : 2018-09-01 DOI:10.1109/TDC-LA.2018.8511762

Ruben Felix, C. Unsihuay-Vila

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引用次数: 2

Abstract

This paper proposes a dynamic optimization mathematical approach to obtain the optimum mix of distributed generation plants with renewable energy resources (RER) necessary to provide reliability to critical electrical systems. This model takes as inputs the energy potential ofwater, wind and solar resources available and injectable in each area, investment and operation and maintenance (O&M) cost ofthese plants and related infrastructure; as well as parameters of existing electrical grid and conventional generation plants. The proposed model is performed for the 8760 hours of a typical year within which it is considered out-of-service states for existing transmission lines and power plants. A robust approach is contemplated though a cost sensibility analysis. The results of the application performed in a real case in Puno, Peru evidence an improvement of approximately 81% and 68% in reliability indexes SAIDI and SAIFI, respectively.

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基于可靠性标准的分布式可再生电站扩展规划混合发电选择优化模型:在秘鲁普诺的应用

本文提出了一种动态优化数学方法，以获得为关键电力系统提供可靠性所必需的具有可再生能源(RER)的分布式发电厂的最佳组合。该模型以每个地区可用和可注入的水、风、太阳能资源的能源潜力、这些工厂及相关基础设施的投资和运维成本为输入;以及现有电网和传统发电厂的参数。所提出的模型是在一个典型年份的8760小时内执行的，在这段时间内，现有的输电线路和发电厂被认为处于停运状态。通过成本敏感性分析，设想了一种健壮的方法。在秘鲁普诺的一个实际案例中，应用结果表明，可靠性指标SAIDI和SAIFI分别提高了81%和68%。

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2018 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D-LA)

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