The multi-objective operation for cascade reservoirs using MMOSFLA with emphasis on power generation and ecological benefit

To efficiently develop power generation and solve downstream ecological health protection in Qingjiang basin, multi-objective ecological operation for cascade reservoirs (MOEOCR) model is established in contrast to conventional models that set ecological water requirement as constraint. The basic, s...

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Published in:Journal of hydroinformatics Vol. 21; no. 2; pp. 257 - 278
Main Authors: Yang, Zhe, Yang, Kan, Su, Lyuwen, Hu, Hu
Format: Journal Article
Language:English
Published: London IWA Publishing 01.03.2019
Subjects:
Algorithms
Amphibians
Decision making
Ecological effects
Ecosystems
Electric power generation
Evolution
Genetic algorithms
Heuristic
Hydroelectric power
Immunoglobulin D
Linear programming
Multiple objective analysis
Objectives
Optimization techniques
Performance indices
Population
Problems
Reservoirs
River ecology
Scheduling
Subpopulations
Water levels
Water requirements
ISSN:1464-7141, 1465-1734
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Abstract To efficiently develop power generation and solve downstream ecological health protection in Qingjiang basin, multi-objective ecological operation for cascade reservoirs (MOEOCR) model is established in contrast to conventional models that set ecological water requirement as constraint. The basic, suitable and ideal ecological water requirements in Geheyan and Gaobazhou sections are calculated using a requirement level index. Instead of the traditional evolution mode based on population, we introduce a shuffled frog leaping algorithm (SFLA) which evolves independently in sub-populations. Moreover, the SFLA is converted into a modified multi-objective algorithm (MMOSFLA) with strategies including chaotic population initialization, renewed frog grouping method and local search method, and elite frog set evolution based on cloud model. The water level corridor is used to help effectively handle complex constraints. The IGD and GD indexes are used to evaluate quality of solutions acquired by each method. In terms of normal year, the mean IGD and GD of MMOSFLA are 1.2 × 10–1 and 2.75 × 10–2, respectively. The scheduling results verify efficient search ability and convergence performance in solution diversity and distribution in comparison with other methods. Therefore, MMOSFLA is verified to provide an effective way to fulfill hydropower and ecological benefits facing the MOEOCR problem.
AbstractList To efficiently develop power generation and solve downstream ecological health protection in Qingjiang basin, multi-objective ecological operation for cascade reservoirs (MOEOCR) model is established in contrast to conventional models that set ecological water requirement as constraint. The basic, suitable and ideal ecological water requirements in Geheyan and Gaobazhou sections are calculated using a requirement level index. Instead of the traditional evolution mode based on population, we introduce a shuffled frog leaping algorithm (SFLA) which evolves independently in sub-populations. Moreover, the SFLA is converted into a modified multi-objective algorithm (MMOSFLA) with strategies including chaotic population initialization, renewed frog grouping method and local search method, and elite frog set evolution based on cloud model. The water level corridor is used to help effectively handle complex constraints. The IGD and GD indexes are used to evaluate quality of solutions acquired by each method. In terms of normal year, the mean IGD and GD of MMOSFLA are 1.2 × 10–1 and 2.75 × 10–2, respectively. The scheduling results verify efficient search ability and convergence performance in solution diversity and distribution in comparison with other methods. Therefore, MMOSFLA is verified to provide an effective way to fulfill hydropower and ecological benefits facing the MOEOCR problem.
Author Yang, Zhe
Yang, Kan
Hu, Hu
Su, Lyuwen
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Snippet To efficiently develop power generation and solve downstream ecological health protection in Qingjiang basin, multi-objective ecological operation for cascade...
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SubjectTerms Algorithms
Amphibians
Decision making
Ecological effects
Ecosystems
Electric power generation
Evolution
Genetic algorithms
Heuristic
Hydroelectric power
Immunoglobulin D
Linear programming
Multiple objective analysis
Objectives
Optimization techniques
Performance indices
Population
Problems
Reservoirs
River ecology
Scheduling
Subpopulations
Water levels
Water requirements
Title The multi-objective operation for cascade reservoirs using MMOSFLA with emphasis on power generation and ecological benefit
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Volume 21
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