A Decision Method of the Large-scale Unit Maintenance Scheduling Considering Predicted Electricity Price and Carbon Emission Cost

MEI Jingcheng; QI Donglian; ZHANG Jianliang; WANG Zhenyu; CHEN Yulin

doi:10.11999/JEIT220491

Volume 44 Issue 11

Nov. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(11): 3767-3776

MEI Jingcheng, QI Donglian, ZHANG Jianliang, WANG Zhenyu, CHEN Yulin. A Decision Method of the Large-scale Unit Maintenance Scheduling Considering Predicted Electricity Price and Carbon Emission Cost[J]. Journal of Electronics & Information Technology, 2022, 44(11): 3767-3776. doi: 10.11999/JEIT220491

Citation:

MEI Jingcheng, QI Donglian, ZHANG Jianliang, WANG Zhenyu, CHEN Yulin. A Decision Method of the Large-scale Unit Maintenance Scheduling Considering Predicted Electricity Price and Carbon Emission Cost[J]. Journal of Electronics & Information Technology, 2022, 44(11): 3767-3776. doi: 10.11999/JEIT220491

Citation:

MEI Jingcheng, QI Donglian, ZHANG Jianliang, WANG Zhenyu, CHEN Yulin. A Decision Method of the Large-scale Unit Maintenance Scheduling Considering Predicted Electricity Price and Carbon Emission Cost[J]. Journal of Electronics & Information Technology, 2022, 44(11): 3767-3776. doi: 10.11999/JEIT220491

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A Decision Method of the Large-scale Unit Maintenance Scheduling Considering Predicted Electricity Price and Carbon Emission Cost

doi: 10.11999/JEIT220491

1.
College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China
2.
Hainan Institute, Zhejiang University, Sanya 572024, China
3.
Key Laboratory of Wave Scattering and Remote Sensing Information, University of Macao, Macao 999078, China

Funds: The National Natural Science Foundation of China (62127803)

Received Date: 2022-04-21
Accepted Date: 2022-08-02
Rev Recd Date: 2022-07-28

Available Online: 2022-08-05

Publish Date: 2022-11-14

Abstract

Abstract

With the increasing scale of domestic power system and the continuous deepening of the reform of domestic power market and carbon emission market, the reasonable arrangement of the unit maintenance scheduling has a more and more important impact on the reliability of the power system and the profits of generator manufacturers from the power market and the carbon emission market. On the other hand, the scale of integer variables and constraints of unit maintenance optimization problem also increases sharply. Considering the above problems, a unit maintenance optimization model considering power system reliability is proposed. In addition, with a method based on the Bayesian optimization proposed, to the solution progress of the model obtains the best branch scoring factor value to accelerate the branch-and-bound solution process in integer programming, which is more suitable for the application of the large-scale power system maintenance models. Moreover, a unit maintenance coordination mechanism considering the carbon emission cost and the predicted electricity price is advanced, which maximizing the generation profits in both electric energy market and carbon emission market during the annual unit maintenance scheduling with the safe operation of the power system. Finally, the effectiveness and the practicability of the above model are verified on the IEEE-118 bus system.
- Unit maintenance scheduling,
- Carbon emission cost,
- Electricity price,
- Bayesian optimization

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References(25)

References

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