Short-term optimal operation of power generators taking uncertainties into account

Under the electric power market environment, the hydroelectric power plant should synthesize the economy and the technical characteristic of hydroelectric power, consider each kind of uncertainty factor in the bidding process, carry on the decomposition and the assignment in many time intervals and...

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Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2019-02, Vol.227 (3), p.32038
Main Authors: Wu, Wei, Qian, Dacheng, Pan, Chaoyang, Yu, Hui, Hu, Guangjing, Zhu, Bao, Zhao, Huijuan
Format: Article
Language:English
Subjects:
Decision making
Electric power
Electric power distribution
Electric power generation
Electricity
Electricity distribution
Electricity generation
Hydroelectric plants
Hydroelectric power
Hydroelectric power generation
Hydroelectric power stations
Optimization
Power plants
Risk assessment
Scheduling
Storage capacity
Temporal distribution
Time measurement
Uncertainty
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Summary:Under the electric power market environment, the hydroelectric power plant should synthesize the economy and the technical characteristic of hydroelectric power, consider each kind of uncertainty factor in the bidding process, carry on the decomposition and the assignment in many time intervals and in many markets to reduce the overall risk, and enable the electricity generation side to achieve the high income low risk electricity generation goal. In view of the single time interval risk measure's insufficiency, this paper proposes one new kind of multi-time interval water electricity system optimization scheduling model. This model takes the total risk of multi-time to be low as a goal under the electric power market condition, simultaneously considers the overall price fluctuation and the uncertainties of water to generation side economic efficiency influence, and takes into account the storage capacity of hydropower stations, discharge, the unit output and other constraints, in order to follow the optimal scheduling scheme. Simulation results show that the model can reflect the essential characteristics of market risk under the spatial and temporal distribution of water electricity, and ensure the system safe and reliable and the smallest risk, so as to provide a new way of thinking of optimizing the operation decision-making and risk assessment of hydropower generation company.
ISSN:1755-1307
1755-1315
1755-1315
DOI:10.1088/1755-1315/227/3/032038