Sensitivity Analysis of the Impact of the Sub Hourly Stochastic Unit Commitment on Power System Dynamics

被引：0

作者：

Kerci, Taulant ^{[1
]}

Giraldo, Juan S. ^{[2
]}

Milano, Federico ^{[1
]}

机构：

[1] Univ Coll Dublin, Sch Elect & Elect Engn, Dublin 4, Ireland

[2] Eindhoven Univ Technol, Elect Energy Syst, Dept Elect Engn, NL-5600 Eindhoven, Netherlands

来源：

ENERGIES | 2020年 / 13卷 / 06期

基金：

爱尔兰科学基金会;

关键词：

subhourly modeling; stochastic unit commitment; cosimulation method; sensitivity analysis; power system dynamic performance; OPTIMIZATION; DISPATCH;

D O I：

10.3390/en13061468

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Subhourly modeling of power systems and the use of the stochastic optimization are two relevant solutions proposed in the literature to address the integration of stochastic renewable energy sources. With this aim, this paper deals with the effect of different formulations of the subhourly stochastic unit commitment (SUC) problem on power system dynamics. Different SUC models are presented and embedded into time domain simulations (TDS) through a cosimulation platform. The objective of the paper is to study the combined impact of different frequency control/machine parameters and different SUC formulations on the long-term dynamic behaviour of power systems. The analysis is based on extensive Monte Carlo TDS (MC-TDS) and a variety of scenarios based on the New England 39 -bus system.

引用

页数：17

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