CVaR-based stochastic wind-thermal generation coordination for Turkish electricity market

• 作者: Ali Nezih GUVEN Aycan AYDOGDU Osman Bulent TOR
• 来源期刊: 现代电力系统与清洁能源学报(英文)
• 学科: 工学
• 关键词: CONDITIONAL value at risk(CVaR) Windthermal COORDINATION Electricity market Wind POWER THERMAL POWER
• 年，卷（期）: 2019,（5）
• 页码范围: 1307-1318
• 页数: 12页
• 分类号: TM73

摘要

Uncertainties in wind power forecasting,dayahead and imbalance prices for the next day possess a great deal of risks for the profit of generation companies participating in a day-ahead electricity market.Generation companies are exposed to imbalance penalties in the balancing market for unordered mismatches between associated day-ahead power schedule and real-time generation.Coordination of wind and thermal power plants alleviates the risks raised from wind uncertainties.This paper proposes a novel optimal coordination strategy by balancing wind power forecasting deviations with thermal units in the Turkish day-ahead electricity market.The main focus of this study is to provide an optimal trade-off between the expected profit and the risk under wind uncertainty through conditional value at risk(CVa R)methodology.Coordination problem is formulated as a two-stage mixed-integer stochastic programming problem,where scenario-based wind power approach is used to handle the stochasticity of the wind power.Dynamic programming approach is utilized to attain the commitment status of thermal units.Profitability of the coordination with different day-ahead bidding strategies and trade-off between expected profit and CVa R are examined with comparative scenario studies.