NDLI: A Pareto Strength SCE-UA Algorithm for Reservoir Optimization Operation

Content Provider	IEEE Xplore Digital Library
Author	Jian-Yi Lin Chun-Tian Cheng Tao Lin
Copyright Year	2008
Description	Author affiliation: Chinese Acad. of Sci., Inst. of Urban Environ., Xiamen (Jian-Yi Lin; Tao Lin) \|\| Hydroinformatics Dalian, Dalian Univ. of Technol. Inst., Dalian (Chun-Tian Cheng)
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 individualpsilas 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.
Starting Page	406
Ending Page	412
File Size	478558
Page Count	7
File Format	PDF
ISBN	9780769533049
DOI	10.1109/ICNC.2008.84
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	SCE-UA algorithm Ant colony optimization Pareto optimization Linear programming Rivers Particle swarm optimization Constraint optimization Reservoir optimal operation Pareto strength Reservoirs Pareto dominate Robustness Dynamic programming constrained optimization Mathematical programming
Content Type	Text
Resource Type	Article

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