In the past, power system planning was based on meeting the load duration curve at minimum cost. The increasing share of variable generation (VG) makes operational constraints more important in the planning problem, and there is more and more interest in considering aspects such as sufficient ramping capability, sufficient reserve procurement, power system stability, storage behavior, and the integration of other energy sectors often through demand response assets. In VG integration studies, several methods have been applied to combine the planning and operational timescales. We present a four‐level categorization for the modeling methods, in order of increasing complexity: (1a) investment model only, (1b) operational model only, (2) unidirectionally soft‐linked investment and operational models, (3a) bidirectionally soft‐linked investment and operational models, (3b) operational model with an investment update algorithm, and (4) co‐optimization of investments and operation. The review shows that using a low temporal resolution or only few representative days will not suffice in order to determine the optimal generation portfolio. In addition, considering operational effects proves to be important in order to get a more optimal generation portfolio and more realistic estimations of system costs. However, operational details appear to be less significant than the temporal representation. Furthermore, the benefits and impacts of more advanced modeling techniques on the resulting generation capacity mix significantly depend on the system properties. Thus, the choice of the model should depend on the purpose of the study as well as on system characteristics.

中文翻译：

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在具有大量变量生成的电力系统规划中包括操作方面：建模方法回顾

过去，电力系统规划是基于以最小成本满足负载持续时间曲线而进行的。变量发电（VG）的份额不断增加，使得操作约束在规划问题中变得越来越重要，并且人们对考虑方面的兴趣也越来越高，例如足够的缓坡能力，充足的备用采购，电力系统稳定性，存储行为以及对电网的集成。其他能源部门通常通过需求响应资产。在VG集成研究中，已经采用了几种方法来组合计划和运行时间表。我们按照建模方法的复杂性从高到低的顺序进行了四级分类：（1a）仅投资模型，（1b）仅运营模型，（2）单向软链接投资和运营模型，（3a）双向软链接的投资和运营模型，（3b）带有投资更新算法的运营模型，以及（4）投资和运营的共同优化。该评论表明，使用低时间分辨率或仅用几个代表天就不足以确定最佳的发电组合。此外，为了获得更优化的发电量组合和更现实的系统成本估算，考虑到运营影响也很重要。但是，操作细节似乎不如时间表示重要。此外，更先进的建模技术对最终发电量组合的收益和影响在很大程度上取决于系统属性。从而，