Optimal Operation of Cascade Reservoirs in the Lower Reaches of Jinsha River to the Three Gorges Based on Multi-group Gravitational Particle Swarm Algorithm

WANG Tao; XU Yang; LIU Ya-xin; LU Jia; MA Hao-yu

doi:10.11988/ckyyb.20221439

Journal of Changjiang River Scientific Research Institute >

2023 , Vol. 40 >Issue 12: 30 - 36,58

DOI: https://doi.org/10.11988/ckyyb.20221439

Water Resources

Optimal Operation of Cascade Reservoirs in the Lower Reaches of Jinsha River to the Three Gorges Based on Multi-group Gravitational Particle Swarm Algorithm

WANG Tao ,
XU Yang ,
LIU Ya-xin ,
LU Jia ,
MA Hao-yu

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1. Hubei Provincial Key Laboratory of Smart Yangtze River and Hydropower Science of China Changjiang Electric Power Co., Ltd., Yichang 443000, China;
2. Cascade Dispatching Communication Center of the Three Gorges Water Control Project of China Changjiang Electric Power Co., Ltd., Yichang 443000, China

Received date: 2022-10-28

Revised date: 2023-03-21

Online published: 2023-10-12

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Abstract

From the lower reaches of the Jinsha River to the Three Gorges, a complex joint scheduling pattern comprising six reservoirs has emerged. This pattern is characterized by an expanded scope of scheduling, numerous and diverse constraints, and a range of optimization objectives. Consequently, formulating appropriate scheduling schemes has become particularly challenging. Recognizing the limitations of traditional particle swarm algorithms in addressing this scheduling model, we propose a multi-group gravitational particle swarm algorithm to enhance the optimization capabilities of the scheduling model. To this end, a multi-scale and multi-objective nested scheduling model is established, and the improved algorithm is applied to solve it. The test and application results demonstrate that the multi-group gravitational particle swarm algorithm exhibits superior optimization performance compared to other approaches. Moreover, it is more suitable for achieving optimal operation of cascade reservoirs. A case study further illustrates that the upstream leading power station can enhance the generation of downstream power stations and cascade stations by reducing its own power generation capacity.

Key words： optimal operation of reservior groups; particle swarm optimization; algorithm improvement; cascade reservoir; lower Jinsha River; Three Gorges

Cite this article

WANG Tao , XU Yang , LIU Ya-xin , LU Jia , MA Hao-yu . Optimal Operation of Cascade Reservoirs in the Lower Reaches of Jinsha River to the Three Gorges Based on Multi-group Gravitational Particle Swarm Algorithm[J]. Journal of Changjiang River Scientific Research Institute, 2023 , 40(12) : 30 -36,58 . DOI: 10.11988/ckyyb.20221439

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