The Role of Hydropower Simulation in Smart Energy Systems

Madhusudhan Pandey, B. Lie
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引用次数: 3

Abstract

Energy conversion and transmission consists of intermittent and dispatchable energy sources connected with end-users and distributed energy sources through an interconnected grid. Intermittent sources like solar, wind, and tidal power plants exhibit fluctuating power production that create an imbalance between generation and load. In this regard, renewable dispatchable sources like hydropower, geothermal, nuclear, and biomass based plants together with fossil fuel based plants play a significant role in balancing out the variability caused by intermittent sources. Smart energy systems maximize the use of intermittent sources while balancing generation and load with dispatchable sources. In this paper, an overview of smart energy systems is given, with main focus on renewable dispatchable sources. The need for model based analysis is emphasized, which leads to multiphysics problems. Multiphysics simulation languages and libraries are presented. Particular emphasis is put on the Modelica language and relevant libraries such as OpenHPL for hydropower modeling. A case study of the Trollheim Hydropower plant in Norway is presented. In addition, OpenHPL and the photovoltaic PVSystems library for solar power plants are combined to see how hydropower can be used as a dispatchable source for balancing out the variability caused by solar power plants in the interconnected grid of smart energy systems.
水电仿真在智能能源系统中的作用
能源转换和传输由与终端用户连接的间歇性和可调度能源和通过互联电网连接的分布式能源组成。间歇性能源,如太阳能、风能和潮汐能,表现出波动的发电量,造成发电量和负荷之间的不平衡。在这方面,水电、地热、核能、生物质电厂以及化石燃料电厂等可再生可调度能源在平衡间歇性能源造成的可变性方面发挥了重要作用。智能能源系统最大限度地利用间歇性能源,同时平衡发电和负荷与可调度的资源。本文对智能能源系统进行了概述,重点介绍了可再生可调度能源。强调了基于模型的分析的必要性,这导致了多物理场问题。给出了多物理场仿真语言和库。特别强调了Modelica语言和相关库,如用于水电建模的OpenHPL。本文以挪威特罗尔海姆水电站为例进行了分析。此外,OpenHPL和用于太阳能发电厂的光伏系统库相结合,以了解如何将水力发电作为可调度源,以平衡智能能源系统互联电网中太阳能发电厂造成的可变性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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