Paper Info
Title
A Pareto Strength SCE-UA Algorithm for Reservoir Optimization Operation
Abstract
In this paper a new approach is presented to handle the reservoir constraints optimization operation problem. The new technique treats constrained optimization as a two-objective optimization. One objective is original objective function; the other is the degree violating the constraints. SCE-UA algorithm is applied to the two-objective optimization by using the individual’s comparing procedure and the population ranking procedure which is respectively based on the Pareto dominance relationship and the Pareto strength definition. By combining Pareto strength ranking procedure with SCE-UA algorithm, a new Pareto strength SCE-UA algorithm (PSSCE) is proposed. To show practical utility, PSSCE is then applied to a realistic case study, the Huanren reservoir system in Hun River Basin in the Northeast China, which mainly serves hydropower generation. By Comparing with dynamic programming (DP) method, it is concluded that the proposed algorithm provides promising and comparable solutions with known global optimum results.
Year
DOI
Venue
2008
10.1109/ICNC.2008.84
ICNC
Keywords
Field
DocType
reservoir constraints optimization operation,two-objective optimization,pareto strength sce-ua algorithm,pareto strength definition,new approach,proposed algorithm,constrained optimization,reservoir optimal operation,pareto dominate,reservoir optimization operation,pareto strength,new pareto strength sce-ua,sce-ua algorithm,pareto dominance relationship,new technique,optimization,production,river basin,objective function,constraint optimization,dynamic programming,reservoirs,algorithm design and analysis
Dynamic programming,Population,Mathematical optimization,Algorithm design,Ranking,Computer science,Constraint theory,Algorithm,Global optimum,Pareto principle,Constrained optimization
Conference
Citations 
PageRank 
References 
0
0.34
5
Authors
3
Name
Order
Citations
PageRank
Jianyi Lin133022.45
Chuntian Cheng235740.45
Tao Lin322.07