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5 October 2020 Hybrid Optimize Method for Multi-Objective Scheduling of Hydropower Stations with Coupled Power Generation, Navigation Demand and Ecological Benefit
Qin Shen, Li Mo, Guanjun Liu
Author Affiliations +
Abstract

Shen, Q.; Mo, L., and Liu, G.J., 2020. Hybrid optimize method for multi-objective scheduling of hydropower stations with coupled power generation, navigation demand and ecological benefit. In: Guido Aldana, P.A. and Kantamaneni, K. (eds.), Advances in Water Resources, Coastal Management, and Marine Science Technology. Journal of Coastal Research, Special Issue No. 104, pp. 379–384. Coconut Creek (Florida), ISSN 0749-0208.

As power station dispatching faces higher comprehensive utilization requirements, power generation benefit cannot be ignored for river basins with navigation and ecology requirements. In this paper, the Shuibuya Hydropower Station is adopted as the engineering background, and a multi-objective optimization model with power generation, navigation and ecology as the objectives is constructed. The RSEA algorithm is adopted to obtain a scheme set. By comparing the typical schemes, changes in power generation have less impact on navigation and ecology. The optimized benefits can be sacrificed at the expense of a small part of the power generation. In the model calculation, a large weight coefficient should be allocated to the power generation, and the optimal solution set is still obtained. The result can provide reference for how to balance multi-target weight coefficients of similar hydropower stations.

©Coastal Education and Research Foundation, Inc. 2020
Qin Shen, Li Mo, and Guanjun Liu "Hybrid Optimize Method for Multi-Objective Scheduling of Hydropower Stations with Coupled Power Generation, Navigation Demand and Ecological Benefit," Journal of Coastal Research 104(sp1), 379-384, (5 October 2020). https://doi.org/10.2112/JCR-SI104-067.1
Received: 23 January 2020; Accepted: 8 May 2020; Published: 5 October 2020
KEYWORDS
ecology
Navigation benefit
optimization
power generation
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