4.5 Article

Power system flexibility improvement with a focus on demand response and wind power variability

期刊

IET RENEWABLE POWER GENERATION
卷 14, 期 6, 页码 1095-1103

出版社

INST ENGINEERING TECHNOLOGY-IET
DOI: 10.1049/iet-rpg.2019.0123

关键词

renewable energy sources; power generation dispatch; power markets; optimisation; wind power; pricing; power system management; power generation scheduling; power generation economics; power system security; power system reliability; wind power plants; power networks; model optimises RT prices; contingency events; wind power penetration; system operators; consumption units; power system flexibility improvement; demand response; wind power variability; unpredictable system component contingencies; power systems; high renewables penetration; intermittent nature; renewable energy sources; excellent adaptability; flexible security-constrained structure; superior flexibility; demand sides; real-time pricing program; operational reserves

资金

  1. Business Finland
  2. FEDER funds through COMPETE 2020
  3. Portuguese funds through FCT [POCI-01-0145-FEDER-029803 (02/SAICT/2017)]

向作者/读者索取更多资源

Unpredictable system component contingencies have imposed vulnerability on power systems, which are under high renewables penetration nowadays. Intermittent nature of renewable energy sources has made this unpredictability even worse than before and calls for excellent adaptability. This study proposes a flexible security-constrained structure to meet the superior flexibility by coordination of generation and demand sides. In the suggested model, demand-side flexibility is enabled via an optimum real-time (RT) pricing program, while the commitment of conventional units through providing up and down operational reserves improves the flexibility of supply-side. The behaviour of two types of customers is characterised to define an accurate model of demand response and the effect of customers' preferences on the optimal operation of power networks. Conclusively, the proposed model optimises RT prices in the face of contingency events as well as wind power penetration. System operators together with customers could benefit from the proposed method to schedule generation and consumption units reliably.

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