Optimization of multi-reservoir operation with a new hedging rule: application of fuzzy set theory and NSGA-II

Abstract The reservoir hedging rule curves are used to avoid severe water shortage during drought periods. In this method reservoir storage is divided into several zones, wherein the rationing factors are changed immediately when water storage level moves from one zone to another. In the present stu...
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Autor*in:	Ahmadianfar, Iman [verfasserIn] Adib, Arash Taghian, Mehrdad

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2016

Schlagwörter:	Multi-reservoir Hedging Fuzzy NSGA-II

Anmerkung:	© The Author(s) 2016

Übergeordnetes Werk:	Enthalten in: Applied water science - Berlin : Springer, 2011, 7(2016), 6 vom: 11. Juni, Seite 3075-3086
Übergeordnetes Werk:	volume:7 ; year:2016 ; number:6 ; day:11 ; month:06 ; pages:3075-3086

Links:	Volltext

DOI / URN:	10.1007/s13201-016-0434-z

Katalog-ID:	SPR031398898

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520			\|a Abstract The reservoir hedging rule curves are used to avoid severe water shortage during drought periods. In this method reservoir storage is divided into several zones, wherein the rationing factors are changed immediately when water storage level moves from one zone to another. In the present study, a hedging rule with fuzzy rationing factors was applied for creating a transition zone in up and down each rule curve, and then the rationing factor will be changed in this zone gradually. For this propose, a monthly simulation model was developed and linked to the non-dominated sorting genetic algorithm for calculation of the modified shortage index of two objective functions involving water supply of minimum flow and agriculture demands in a long-term simulation period. Zohre multi-reservoir system in south Iran has been considered as a case study. The results of the proposed hedging rule have improved the long-term system performance from 10 till 27 percent in comparison with the simple hedging rule, where these results demonstrate that the fuzzification of hedging factors increase the applicability and the efficiency of the new hedging rule in comparison to the conventional rule curve for mitigating the water shortage problem.
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allfields	10.1007/s13201-016-0434-z doi (DE-627)SPR031398898 (SPR)s13201-016-0434-z-e DE-627 ger DE-627 rakwb eng Ahmadianfar, Iman verfasserin aut Optimization of multi-reservoir operation with a new hedging rule: application of fuzzy set theory and NSGA-II 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2016 Abstract The reservoir hedging rule curves are used to avoid severe water shortage during drought periods. In this method reservoir storage is divided into several zones, wherein the rationing factors are changed immediately when water storage level moves from one zone to another. In the present study, a hedging rule with fuzzy rationing factors was applied for creating a transition zone in up and down each rule curve, and then the rationing factor will be changed in this zone gradually. For this propose, a monthly simulation model was developed and linked to the non-dominated sorting genetic algorithm for calculation of the modified shortage index of two objective functions involving water supply of minimum flow and agriculture demands in a long-term simulation period. Zohre multi-reservoir system in south Iran has been considered as a case study. The results of the proposed hedging rule have improved the long-term system performance from 10 till 27 percent in comparison with the simple hedging rule, where these results demonstrate that the fuzzification of hedging factors increase the applicability and the efficiency of the new hedging rule in comparison to the conventional rule curve for mitigating the water shortage problem. Multi-reservoir (dpeaa)DE-He213 Hedging (dpeaa)DE-He213 Fuzzy (dpeaa)DE-He213 NSGA-II (dpeaa)DE-He213 Adib, Arash aut Taghian, Mehrdad aut Enthalten in Applied water science Berlin : Springer, 2011 7(2016), 6 vom: 11. Juni, Seite 3075-3086 (DE-627)64730242X (DE-600)2594789-8 2190-5495 nnns volume:7 year:2016 number:6 day:11 month:06 pages:3075-3086 https://dx.doi.org/10.1007/s13201-016-0434-z kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2016 6 11 06 3075-3086
spelling	10.1007/s13201-016-0434-z doi (DE-627)SPR031398898 (SPR)s13201-016-0434-z-e DE-627 ger DE-627 rakwb eng Ahmadianfar, Iman verfasserin aut Optimization of multi-reservoir operation with a new hedging rule: application of fuzzy set theory and NSGA-II 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2016 Abstract The reservoir hedging rule curves are used to avoid severe water shortage during drought periods. In this method reservoir storage is divided into several zones, wherein the rationing factors are changed immediately when water storage level moves from one zone to another. In the present study, a hedging rule with fuzzy rationing factors was applied for creating a transition zone in up and down each rule curve, and then the rationing factor will be changed in this zone gradually. For this propose, a monthly simulation model was developed and linked to the non-dominated sorting genetic algorithm for calculation of the modified shortage index of two objective functions involving water supply of minimum flow and agriculture demands in a long-term simulation period. Zohre multi-reservoir system in south Iran has been considered as a case study. The results of the proposed hedging rule have improved the long-term system performance from 10 till 27 percent in comparison with the simple hedging rule, where these results demonstrate that the fuzzification of hedging factors increase the applicability and the efficiency of the new hedging rule in comparison to the conventional rule curve for mitigating the water shortage problem. Multi-reservoir (dpeaa)DE-He213 Hedging (dpeaa)DE-He213 Fuzzy (dpeaa)DE-He213 NSGA-II (dpeaa)DE-He213 Adib, Arash aut Taghian, Mehrdad aut Enthalten in Applied water science Berlin : Springer, 2011 7(2016), 6 vom: 11. Juni, Seite 3075-3086 (DE-627)64730242X (DE-600)2594789-8 2190-5495 nnns volume:7 year:2016 number:6 day:11 month:06 pages:3075-3086 https://dx.doi.org/10.1007/s13201-016-0434-z kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2016 6 11 06 3075-3086
allfields_unstemmed	10.1007/s13201-016-0434-z doi (DE-627)SPR031398898 (SPR)s13201-016-0434-z-e DE-627 ger DE-627 rakwb eng Ahmadianfar, Iman verfasserin aut Optimization of multi-reservoir operation with a new hedging rule: application of fuzzy set theory and NSGA-II 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2016 Abstract The reservoir hedging rule curves are used to avoid severe water shortage during drought periods. In this method reservoir storage is divided into several zones, wherein the rationing factors are changed immediately when water storage level moves from one zone to another. In the present study, a hedging rule with fuzzy rationing factors was applied for creating a transition zone in up and down each rule curve, and then the rationing factor will be changed in this zone gradually. For this propose, a monthly simulation model was developed and linked to the non-dominated sorting genetic algorithm for calculation of the modified shortage index of two objective functions involving water supply of minimum flow and agriculture demands in a long-term simulation period. Zohre multi-reservoir system in south Iran has been considered as a case study. The results of the proposed hedging rule have improved the long-term system performance from 10 till 27 percent in comparison with the simple hedging rule, where these results demonstrate that the fuzzification of hedging factors increase the applicability and the efficiency of the new hedging rule in comparison to the conventional rule curve for mitigating the water shortage problem. Multi-reservoir (dpeaa)DE-He213 Hedging (dpeaa)DE-He213 Fuzzy (dpeaa)DE-He213 NSGA-II (dpeaa)DE-He213 Adib, Arash aut Taghian, Mehrdad aut Enthalten in Applied water science Berlin : Springer, 2011 7(2016), 6 vom: 11. Juni, Seite 3075-3086 (DE-627)64730242X (DE-600)2594789-8 2190-5495 nnns volume:7 year:2016 number:6 day:11 month:06 pages:3075-3086 https://dx.doi.org/10.1007/s13201-016-0434-z kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2016 6 11 06 3075-3086
allfieldsGer	10.1007/s13201-016-0434-z doi (DE-627)SPR031398898 (SPR)s13201-016-0434-z-e DE-627 ger DE-627 rakwb eng Ahmadianfar, Iman verfasserin aut Optimization of multi-reservoir operation with a new hedging rule: application of fuzzy set theory and NSGA-II 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2016 Abstract The reservoir hedging rule curves are used to avoid severe water shortage during drought periods. In this method reservoir storage is divided into several zones, wherein the rationing factors are changed immediately when water storage level moves from one zone to another. In the present study, a hedging rule with fuzzy rationing factors was applied for creating a transition zone in up and down each rule curve, and then the rationing factor will be changed in this zone gradually. For this propose, a monthly simulation model was developed and linked to the non-dominated sorting genetic algorithm for calculation of the modified shortage index of two objective functions involving water supply of minimum flow and agriculture demands in a long-term simulation period. Zohre multi-reservoir system in south Iran has been considered as a case study. The results of the proposed hedging rule have improved the long-term system performance from 10 till 27 percent in comparison with the simple hedging rule, where these results demonstrate that the fuzzification of hedging factors increase the applicability and the efficiency of the new hedging rule in comparison to the conventional rule curve for mitigating the water shortage problem. Multi-reservoir (dpeaa)DE-He213 Hedging (dpeaa)DE-He213 Fuzzy (dpeaa)DE-He213 NSGA-II (dpeaa)DE-He213 Adib, Arash aut Taghian, Mehrdad aut Enthalten in Applied water science Berlin : Springer, 2011 7(2016), 6 vom: 11. Juni, Seite 3075-3086 (DE-627)64730242X (DE-600)2594789-8 2190-5495 nnns volume:7 year:2016 number:6 day:11 month:06 pages:3075-3086 https://dx.doi.org/10.1007/s13201-016-0434-z kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2016 6 11 06 3075-3086
allfieldsSound	10.1007/s13201-016-0434-z doi (DE-627)SPR031398898 (SPR)s13201-016-0434-z-e DE-627 ger DE-627 rakwb eng Ahmadianfar, Iman verfasserin aut Optimization of multi-reservoir operation with a new hedging rule: application of fuzzy set theory and NSGA-II 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2016 Abstract The reservoir hedging rule curves are used to avoid severe water shortage during drought periods. In this method reservoir storage is divided into several zones, wherein the rationing factors are changed immediately when water storage level moves from one zone to another. In the present study, a hedging rule with fuzzy rationing factors was applied for creating a transition zone in up and down each rule curve, and then the rationing factor will be changed in this zone gradually. For this propose, a monthly simulation model was developed and linked to the non-dominated sorting genetic algorithm for calculation of the modified shortage index of two objective functions involving water supply of minimum flow and agriculture demands in a long-term simulation period. Zohre multi-reservoir system in south Iran has been considered as a case study. The results of the proposed hedging rule have improved the long-term system performance from 10 till 27 percent in comparison with the simple hedging rule, where these results demonstrate that the fuzzification of hedging factors increase the applicability and the efficiency of the new hedging rule in comparison to the conventional rule curve for mitigating the water shortage problem. Multi-reservoir (dpeaa)DE-He213 Hedging (dpeaa)DE-He213 Fuzzy (dpeaa)DE-He213 NSGA-II (dpeaa)DE-He213 Adib, Arash aut Taghian, Mehrdad aut Enthalten in Applied water science Berlin : Springer, 2011 7(2016), 6 vom: 11. Juni, Seite 3075-3086 (DE-627)64730242X (DE-600)2594789-8 2190-5495 nnns volume:7 year:2016 number:6 day:11 month:06 pages:3075-3086 https://dx.doi.org/10.1007/s13201-016-0434-z kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 7 2016 6 11 06 3075-3086
language	English
source	Enthalten in Applied water science 7(2016), 6 vom: 11. Juni, Seite 3075-3086 volume:7 year:2016 number:6 day:11 month:06 pages:3075-3086
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author	Ahmadianfar, Iman
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topic_title	Optimization of multi-reservoir operation with a new hedging rule: application of fuzzy set theory and NSGA-II Multi-reservoir (dpeaa)DE-He213 Hedging (dpeaa)DE-He213 Fuzzy (dpeaa)DE-He213 NSGA-II (dpeaa)DE-He213
topic	misc Multi-reservoir misc Hedging misc Fuzzy misc NSGA-II
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title	Optimization of multi-reservoir operation with a new hedging rule: application of fuzzy set theory and NSGA-II
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title_full	Optimization of multi-reservoir operation with a new hedging rule: application of fuzzy set theory and NSGA-II
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title_sort	optimization of multi-reservoir operation with a new hedging rule: application of fuzzy set theory and nsga-ii
title_auth	Optimization of multi-reservoir operation with a new hedging rule: application of fuzzy set theory and NSGA-II
abstract	Abstract The reservoir hedging rule curves are used to avoid severe water shortage during drought periods. In this method reservoir storage is divided into several zones, wherein the rationing factors are changed immediately when water storage level moves from one zone to another. In the present study, a hedging rule with fuzzy rationing factors was applied for creating a transition zone in up and down each rule curve, and then the rationing factor will be changed in this zone gradually. For this propose, a monthly simulation model was developed and linked to the non-dominated sorting genetic algorithm for calculation of the modified shortage index of two objective functions involving water supply of minimum flow and agriculture demands in a long-term simulation period. Zohre multi-reservoir system in south Iran has been considered as a case study. The results of the proposed hedging rule have improved the long-term system performance from 10 till 27 percent in comparison with the simple hedging rule, where these results demonstrate that the fuzzification of hedging factors increase the applicability and the efficiency of the new hedging rule in comparison to the conventional rule curve for mitigating the water shortage problem. © The Author(s) 2016
abstractGer	Abstract The reservoir hedging rule curves are used to avoid severe water shortage during drought periods. In this method reservoir storage is divided into several zones, wherein the rationing factors are changed immediately when water storage level moves from one zone to another. In the present study, a hedging rule with fuzzy rationing factors was applied for creating a transition zone in up and down each rule curve, and then the rationing factor will be changed in this zone gradually. For this propose, a monthly simulation model was developed and linked to the non-dominated sorting genetic algorithm for calculation of the modified shortage index of two objective functions involving water supply of minimum flow and agriculture demands in a long-term simulation period. Zohre multi-reservoir system in south Iran has been considered as a case study. The results of the proposed hedging rule have improved the long-term system performance from 10 till 27 percent in comparison with the simple hedging rule, where these results demonstrate that the fuzzification of hedging factors increase the applicability and the efficiency of the new hedging rule in comparison to the conventional rule curve for mitigating the water shortage problem. © The Author(s) 2016
abstract_unstemmed	Abstract The reservoir hedging rule curves are used to avoid severe water shortage during drought periods. In this method reservoir storage is divided into several zones, wherein the rationing factors are changed immediately when water storage level moves from one zone to another. In the present study, a hedging rule with fuzzy rationing factors was applied for creating a transition zone in up and down each rule curve, and then the rationing factor will be changed in this zone gradually. For this propose, a monthly simulation model was developed and linked to the non-dominated sorting genetic algorithm for calculation of the modified shortage index of two objective functions involving water supply of minimum flow and agriculture demands in a long-term simulation period. Zohre multi-reservoir system in south Iran has been considered as a case study. The results of the proposed hedging rule have improved the long-term system performance from 10 till 27 percent in comparison with the simple hedging rule, where these results demonstrate that the fuzzification of hedging factors increase the applicability and the efficiency of the new hedging rule in comparison to the conventional rule curve for mitigating the water shortage problem. © The Author(s) 2016
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title_short	Optimization of multi-reservoir operation with a new hedging rule: application of fuzzy set theory and NSGA-II
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Optimization of multi-reservoir operation with a new hedging rule: application of fuzzy set theory and NSGA-II

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