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Startup Optimization of Hydroelectric Generating Set Based on Improved Grey Wolf Search Coupled Cuckoo Algorithm
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Bai-lin LI, Zi-rui GONG, Lin-ming YANG, Jian YANG, Qiang HE
Water Resources and Power | 2023, 41(9) : 180 - 184
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Water Resources and Power | 2023, 41(9): 180-184
ELECTROMECHANICS AND CONTROL ENGINEERING
Startup Optimization of Hydroelectric Generating Set Based on Improved Grey Wolf Search Coupled Cuckoo Algorithm
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Bai-lin LI, Zi-rui GONG, Lin-ming YANG, Jian YANG, Qiang HE
Affiliations
  • College of Electrical and New Energy, China Three Gorges University, Yichang 443000, China
Published: 2023-09-25 doi: 10.20040/j.cnki.1000-7709.2023.20230327
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In order to shorten the start-up time of the hydroelectric generating set and improve the stability of the generating set 's start-up process and non-loading, a start-up optimization strategy of hydropower unit based on improved grey wolf search coupling cuckoo algorithm was proposed. This fitness function weighs the two index values of the unit ' s start-up frequency ITAE index and the unit 's start-up time and standardizes them. Two penalty functions of unit frequency overshoot and unit frequency steady-state error are introduced to effectively improve the start-up performance evaluation index of the hydroelectric generating set. An improved grey wolf search coupled cuckoo algorithm (IGWSCSA) based on good point set theory to improve the initial population is proposed to optimize the start-up parameters of the generating set. Based on the simulation experiment of the refined model of the speed control system, the optimal parameters are obtained to shorten the start-up adjustment time of the generating set, and the overshoot is reduced from 0.235 to 0.004, which greatly optimizes the start-up speed and frequency fluctuation of the hydroelectric generating set.

hydroelectric generating set  /  startup optimization  /  per-unit value  /  good point set  /  swarm intelligence algorithm  /  parameter optimization
Bai-lin LI, Zi-rui GONG, Lin-ming YANG, Jian YANG, Qiang HE. Startup Optimization of Hydroelectric Generating Set Based on Improved Grey Wolf Search Coupled Cuckoo Algorithm[J]. Water Resources and Power, 2023 , 41 (9) : 180 -184 . DOI: 10.20040/j.cnki.1000-7709.2023.20230327
Year 2023 volume 41 Issue 9
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Article Info
doi: 10.20040/j.cnki.1000-7709.2023.20230327
  • Receive Date:2023-03-06
  • Online Date:2026-01-28
  • Published:2023-09-25
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  • Received:2023-03-06
  • Revised:2023-04-20
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    College of Electrical and New Energy, China Three Gorges University, Yichang 443000, China
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表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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