Dual programming methods for large-scale thermal generation scheduling

The rapidly increasing penetration of wind power into sending-side systems makes the wind power curtailment problem more severe. Enhancing the total transfer capability (TTC) of the transmission channel allows more wind power to be delivered to the load center; therefore, the curtailed wind power can be reduced. In this paper, a new method is proposed to enhance TTC, which works by optimizing the day-ahead thermal generation schedules. First, the impact of thermal generation plant/unit commitment on TTC is analyzed. Based on this, the day-ahead thermal generation scheduling rules to enhance TTC are proposed herein, and the corresponding optimization models are established and solved. Then, the optimal day-ahead thermal generation scheduling method to enhance TTC is formed. The proposed method was validated on the large-scale wind power base sending-side system in Gansu Province in China; the results indicate that the proposed method can significantly enhance TTC, and therefore, reduce the curtailed wind power.

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A solution to the generation scheduling problem in power systems with large-scale wind farms using MICA

International Journal of Electrical Power & Energy Systems ◽

10.1016/j.ijepes.2013.06.025 ◽

2014 ◽

Vol 54 ◽

pp. 1-9 ◽

Cited By ~ 17

Author(s):

Arash Mahari ◽

Kazem Zare

Keyword(s):

Power Systems ◽

Large Scale ◽

Wind Farms ◽

Scheduling Problem ◽

Generation Scheduling

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Long-Term Generation Scheduling for Cascade Hydropower Plants Considering Price Correlation between Multiple Markets

Energies ◽

10.3390/en12122239 ◽

2019 ◽

Vol 12 (12) ◽

pp. 2239

Author(s):

Bin Luo ◽

Shumin Miao ◽

Chuntian Cheng ◽

Yi Lei ◽

Gang Chen ◽

...

Keyword(s):

Electricity Market ◽

Large Scale ◽

Copula Function ◽

Market Environment ◽

Scheduling Model ◽

Multiple Markets ◽

Generation Scheduling ◽

Hydropower Plants ◽

Proposed Model

The large-scale cascade hydropower plants in southwestern China now challenge a multi-market environment in the new round of electricity market reform. They not only have to supply the load for the local provincial market, but also need to deliver electricity to the central and eastern load centers in external markets, which makes the generation scheduling much more complicated, with a correlated uncertain market environment. Considering the uncertainty of prices and correlation between multiple markets, this paper has proposed a novel optimization model of long-term generation scheduling for cascade hydropower plants in multiple markets to seek for the maximization of overall benefits. The Copula function is introduced to describe the correlation of stochastic prices between multiple markets. The price scenarios that obey the Copula fitting function are then generated and further reduced by using a scenario reduction strategy that combines hierarchical clustering and inconsistent values. The proposed model is applied to perform the long-term generation scheduling for the Wu River cascade hydropower plants and achieves an increase of 106.93 million yuan of annual income compared with the conventional scheduling model, without considering price scenarios, showing better performance in effectiveness and robustness in multiple markets.

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