New open-source electric-grid planning models have the potential to improve power system planning and bring a wider range of stakeholders into the planning process for next-generation, high-renewable power systems. However, it has not yet been established whether open-source models perform similarly to the more established commercial models for power system analysis. This reduces their credibility and attractiveness to stakeholders, postponing the benefits they could offer. In this paper, we report the first model intercomparison between an open-source power system model and an established commercial production cost model. We compare the open-source Switch 2.0 to GE Energy Consulting’s Multi-Area Production Simulation (MAPS) for production-cost modeling, considering hourly operation under 17 scenarios of renewable energy adoption in Hawaii. We find that after configuring Switch with similar inputs to MAPS, the two models agree closely on hourly and annual production from all power sources. Comparing production gave a coefficient of determination of 0.996 across all energy sources and scenarios, indicating that the two models agree on 99.6% of the variation. For individual energy sources, the coefficient of determination was 69–100. Although some disagreement remains between the two models, this work indicates that Switch is a viable choice for renewable integration modeling, at least for the small power systems considered here.

中文翻译：

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Switch 2.0与GE MAPS模型之间的比对，可用于模拟夏威夷的高可再生能源系统

新的开源电网规划模型具有改善电力系统规划的潜力，并将更多的利益相关者纳入下一代高可再生电力系统的规划过程。但是，尚未确定开放源代码模型的性能是否与用于电力系统分析的更成熟的商业模型相似。这降低了他们对利益相关者的信誉和吸引力，从而推迟了他们可以提供的利益。在本文中，我们报告了开源电源系统模型与已建立的商业生产成本模型之间的首次模型比较。我们将开源Switch 2.0与GE能源咨询公司的多区域生产模拟（MAPS）进行生产成本建模，考虑了在夏威夷采用17种可再生能源的情况下的每小时运行情况。我们发现，在将Switch配置为具有与MAPS相似的输入后，这两种模型在所有电源的每小时和每年产量上都达成了一致。在所有能源和情景下，对生产进行比较得出的确定系数为0.996，这表明这两个模型对99.6％的变化达成了一致。对于单个能源，确定系数为69–100。尽管两个模型之间仍然存在一些分歧，但这项工作表明Switch是可再生集成建模的可行选择，至少对于此处考虑的小型电力系统而言是这样。表示这两个模型的差异为99.6％。对于单个能源，确定系数为69–100。尽管两个模型之间仍然存在一些分歧，但这项工作表明Switch是可再生集成建模的可行选择，至少对于此处考虑的小型电力系统而言是这样。表示这两个模型的差异为99.6％。对于单个能源，确定系数为69–100。尽管两个模型之间仍然存在一些分歧，但这项工作表明Switch是可再生集成建模的可行选择，至少对于此处考虑的小型电力系统而言是这样。