作者: Marco Nicolosi
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摘要: Traditionally, modeling investment and dispatch problems in electricity economics has been limited by computation power. Due to this limitation, simplifications are applied. One common practice, for example, is reduce the temporal resolution of clustering similar load levels. The increase intermittent from renewable energy sources (RES-E) changes validity assumption. RES-E already cover a certain amount total demand. This leaves an increasingly volatile residual demand be matched conventional power market. paper quantifies differences decisions applying three different time-resolution patterns system model. model optimizes five year steps between today 2030 with levels 8760, 288 16 time slices per year. market under consideration four zone ERCOT Texas. results show that significantly differ across scenarios. In particular, investments into base-load technologies substantially reduced high scenario (8760 levels) relative scenarios lower resolution. Additionally, curtailment value exhibit noteworthy differences.