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首页> 美国政府科技报告 >Resource Planning Model: An Integrated Resource Planning and Dispatch Tool for Regional Electric Systems.
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Resource Planning Model: An Integrated Resource Planning and Dispatch Tool for Regional Electric Systems.

机译：资源规划模型：区域电力系统综合资源规划和调度工具。

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摘要

Recent and anticipated trends indicate that renewable resources, particularly wind and solar energy, will provide a growing contribution to the U.S. and global power systems in the coming decades. These resources are variable and uncertain by nature, and their impacts on system expansion and operation need to be properly accounted for in electric system models. To this end, we introduce a new capacity expansion model, the Resource Planning Model (RPM), with high spatial and temporal resolution that can be used for mid- and long-term scenario planning of regional power systems. RPM endogenously and dynamically considers grid integration of renewable resources, including transmission and interconnection availability and costs, renewable resource limits and output characteristics, and dispatch options for conventional generators, in its optimal generator and transmission decision-making. As an hourly chronological model with a highly discretized regional structure, RPM provides a framework where various future scenarios can be explored while ensuring that the scenarios include many aspects of grid reliability. Although the structure of RPM was designed to be adaptable to any geographic region, here we describe an initial version of the model adapted for the power system in Colorado. We present example scenario results from this first version of RPM, including an example of a 30%-by-2020 renewable electricity penetration scenario. Under the assumptions used, the preliminary scenario analysis demonstrates that wind technologies are the dominant contributors to this 30%-by-2020 renewable electricity scenario and that renewable generation largely displaces natural gas. This displacement results in annual carbon dioxide (CO2) emission reductions of approximately 12%. We find that under the least-cost deployment solution from the model, new wind capacity is largely deployed in the north-central and southeastern regions of Colorado and utility-scale solar capacity is largely deployed in the Front Range urban corridor, along with northwestern and south-central Colorado regions.

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