Details

Autor(en) / Beteiligte

• Ren, Xijun
• Shao, Xiaoyu
• You, Peipei
• Li, Sitao
• Yin, Shuo

Titel

The Levelized Cost of Thermal Power Based on Coal Price Prediction

Ist Teil von

• 2023 IEEE 7th Conference on Energy Internet and Energy System Integration (EI2), 2023, p.3386-3391

Ort / Verlag

IEEE

Erscheinungsjahr

2023

Quelle

IEEE Electronic Library Online

Beschreibungen/Notizen

• In recent years, China's electric power safety supply accidents have occurred frequently. This research attempts to extract the key influencing factors, analyze the main driving forces, and the power supply issues from the perspective of cost diversion. This research constructed a multi-factor Long Short Term Memory (LSTM) coal price prediction model to analyze the changes in coal prices. Then a Levelized Cost of Electricity (LCOE) model for coal-fired power generation was established, and different scenarios were set up for cost analysis. Finally, from the perspective of cost fluctuations of power generation enterprises, suggestions are put forward on the issue of safe power supply in China.