Time-Interval-Varying Optimal Power Dispatch Strategy Based on Net Load Time-Series Characteristics

Shubo Hu, Zhengnan Gao, Jing Wu, Yangyang Ge, Jiajue Li, Lianyong Zhang, Jinsong Liu and Hui Sun
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Shubo Hu: Electric Power Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110000, China
Zhengnan Gao: School of Electrical Engineering, Dalian University of Technology, Dalian 116024, China
Jing Wu: Electric Power Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110000, China
Yangyang Ge: Electric Power Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110000, China
Jiajue Li: Electric Power Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110000, China
Lianyong Zhang: Inner Mongolia EHV Power Supply Bureau, Inner Mongolia Power (Group) Co., Ltd., Hohhot 010080, China
Jinsong Liu: Electric Power Research Institute of State Grid Liaoning Electric Power Co., Ltd., Shenyang 110000, China
Hui Sun: School of Electrical Engineering, Dalian University of Technology, Dalian 116024, China

Energies, 2022, vol. 15, issue 4, 1-23

Abstract: In China, with the increasing permeability of wind power, the power supply capacity is enough overall, but has shortage in partial-time. During peak hours, the capability of wind power consumption is poor and the power balance becomes more difficult. In order to maximize the utilization of wind power, the net loads are chosen as the response objectives, which contain significant uncertainties and have no probabilistic distribution characteristics. Under the traditional day-ahead power dispatch mode with fixed length time intervals and in the regions with insufficient hydroelectricity, the thermal generators take charge of the peak-load shaving. The frequent adjustments of thermal power output affect the system operation safety, economic benefits, and environmental benefits. Thus, a time-interval-varying optimal power dispatch strategy based on net load time-series characteristics is proposed in this paper. The net loads respond differently to intervals. The length of each time interval is determined based on the net load time-series characteristics analyzed by random matrix theory. The dispatch mode in each time interval is determined according to the characteristic quantification index calculated by the empirical modal decomposition and sample entropy. The proposed strategy and method can extend the continuous and stable operation time of the thermal generators, reduce the coal consumption caused by the ramping operation, and improve the safety, stability, and economy of the system. Furthermore, the proposed dispatch mode is environmentally friendly with reduced environmental cost and increased carbon credits. An actual provincial power grid in northeast China is taken as the example to verify the rationality and effectiveness of the proposed method and strategy.

Keywords: carbon credit; net load; power system optimization; renewable power consumption; time-interval-varying optimal power dispatch; wind power (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
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