Multidimensional Parallel Dynamic Programming Algorithm Based on Spark for Large-Scale Hydropower Systems

The “curse of dimensionality” is a major problem in dynamic programming (DP) algorithms for large-scale hydropower systems. This study proposes a parallel DP algorithm based on Spark (PDPoS) to alleviate the “curse of dimensionality”. Parallel computing experiments are formulated by varying the numb...

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Published in:Water resources management Vol. 34; no. 11; pp. 3427 - 3444
Main Authors: Ma, Yufei, Zhong, Ping-an, Xu, Bin, Zhu, Feilin, Xiao, Yao, Lu, Qingwen
Format: Journal Article
Language:English
Published: Dordrecht Springer Netherlands 01.09.2020
Springer Nature B.V
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ISSN:0920-4741, 1573-1650
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Abstract The “curse of dimensionality” is a major problem in dynamic programming (DP) algorithms for large-scale hydropower systems. This study proposes a parallel DP algorithm based on Spark (PDPoS) to alleviate the “curse of dimensionality”. Parallel computing experiments are formulated by varying the number of reservoirs, the number of discrete water levels and the number of CPU cores to analyze the quality and efficiency of PDPoS. The methodologies were applied to a cascade reservoir system made up of eight reservoirs in the Yuanshui River Basin in China. The results are as follows. (1) The number of discrete water levels is the dominant factor in the solution quality, while the number of reservoirs is the dominant factor in the solving efficiency. (2) The runtime of PDPoS is markedly affected by the calculational scale (determined by the number of reservoirs and discrete water levels), and the relationship between the number of CPU cores and the runtime is triphasic with increasing calculational scale. (3) The larger the calculational scale is, the better the parallel performance (i.e., the parallel speedup and parallel efficiency). The proposed PDPoS method has strong generality, high parallel performance, and high practical value.
AbstractList The “curse of dimensionality” is a major problem in dynamic programming (DP) algorithms for large-scale hydropower systems. This study proposes a parallel DP algorithm based on Spark (PDPoS) to alleviate the “curse of dimensionality”. Parallel computing experiments are formulated by varying the number of reservoirs, the number of discrete water levels and the number of CPU cores to analyze the quality and efficiency of PDPoS. The methodologies were applied to a cascade reservoir system made up of eight reservoirs in the Yuanshui River Basin in China. The results are as follows. (1) The number of discrete water levels is the dominant factor in the solution quality, while the number of reservoirs is the dominant factor in the solving efficiency. (2) The runtime of PDPoS is markedly affected by the calculational scale (determined by the number of reservoirs and discrete water levels), and the relationship between the number of CPU cores and the runtime is triphasic with increasing calculational scale. (3) The larger the calculational scale is, the better the parallel performance (i.e., the parallel speedup and parallel efficiency). The proposed PDPoS method has strong generality, high parallel performance, and high practical value.
Author Xu, Bin
Zhu, Feilin
Lu, Qingwen
Zhong, Ping-an
Ma, Yufei
Xiao, Yao
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  surname: Lu
  fullname: Lu, Qingwen
  organization: College of Hydrology and Water Resources, Hohai University
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Cites_doi 10.3354/cr00999
10.1007/BF00940421
10.1016/j.energy.2017.03.069
10.3880/j.issn.1006-7647.2017.02.009
10.1016/j.apenergy.2019.113535
10.1016/j.cie.2013.02.003
10.1145/1327452.1327492
10.1016/j.future.2008.07.009
10.1145/1629175.1629198
10.1061/(ASCE)0733-9496(2004)130:2(93
10.1061/(ASCE)0733-9496(2007)133:3(192
10.1016/S0045-7906(01)00039-8
10.1007/s11269-015-1208-3
10.1007/s11269-018-1945-1
10.1002/2014WR016828
10.1016/0005-1098(70)90095-6
10.2166/hydro.2018.116
10.1029/WR007i002p00273
10.1016/j.advwatres.2014.01.002
10.1007/s11269-017-1662-1
10.1029/WR004i003p00471
10.1061/(ASCE)WR.1943-5452.0000205
10.1098/rsta.2009.0053
10.1007/s00500-019-04188-9
10.1109/PAAP.2015.41
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Keywords Hydropower operation
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Multidimensional dynamic programming
Parallel computing
Spark
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References Grossman, Gu, Sabala (CR7) 2009; 25
Wan, Wang (CR18) 2013; 30
Zhao, Cai, Lei, Wang (CR27) 2011; 138
Zaharia, Chowdhury, Franklin (CR23) 2010; 10
CR10
Casti, Richardson, Larson (CR2) 1973; 12
Kumar, Reddy (CR12) 2007; 133
Feng, Niu, Cheng, Liao (CR6) 2017; 126
Baskar, Subbaraj, Rao (CR1) 2003; 29
Sun, Jiang, Wang, Zhang (CR17) 2016; 30
Dean, Ghemawat (CR3) 2008; 51
Dean, Ghemawat (CR4) 2010; 53
Xu, Yao, Zhong (CR21) 2018; 20
Wang, Ma, Li (CR19) 2017; 37
Li, Wei, Li, Wang, Yeh (CR15) 2014; 67
CR8
Zhang, Zhang, Wang, Jiang, Wang (CR26) 2013; 65
Ehteram, Karami, Farzin (CR5) 2018; 32
Zaharia, Chowdhury, Das (CR24) 2012; 2012
Labadie (CR13) 2004; 130
Xu, Zhong, Zambon (CR20) 2015; 51
CR25
Liao, Liu, Cheng, Li, Wu (CR16) 2017; 31
Hall, Butcher, Esogbue (CR9) 1968; 4
Larson, Korsak (CR14) 1970; 6
Xu, Zhu, Zhong, Chen, Liu, Ma, Guo, Deng (CR22) 2019; 253
Heidari, Chow, Kokotović (CR11) 1971; 7
2566_CR8
2566_CR10
P Sun (2566_CR17) 2016; 30
M Zaharia (2566_CR23) 2010; 10
R Grossman (2566_CR7) 2009; 25
B Xu (2566_CR20) 2015; 51
B Xu (2566_CR22) 2019; 253
R Larson (2566_CR14) 1970; 6
T Zhao (2566_CR27) 2011; 138
D Kumar (2566_CR12) 2007; 133
J Casti (2566_CR2) 1973; 12
Z Feng (2566_CR6) 2017; 126
X Wan (2566_CR18) 2013; 30
2566_CR25
M Heidari (2566_CR11) 1971; 7
J Labadie (2566_CR13) 2004; 130
Z Zhang (2566_CR26) 2013; 65
X Li (2566_CR15) 2014; 67
S Baskar (2566_CR1) 2003; 29
M Ehteram (2566_CR5) 2018; 32
J Dean (2566_CR4) 2010; 53
S Liao (2566_CR16) 2017; 31
J Dean (2566_CR3) 2008; 51
W Hall (2566_CR9) 1968; 4
M Zaharia (2566_CR24) 2012; 2012
B Xu (2566_CR21) 2018; 20
S Wang (2566_CR19) 2017; 37
References_xml – volume: 30
  start-page: 166
  issue: 6
  year: 2013
  end-page: 170
  ident: CR18
  article-title: Parallel dynamic programming for hydropower generation optimization
  publication-title: Journal of Hydroelectric Engineering
  doi: 10.3354/cr00999
– volume: 12
  start-page: 423
  issue: 4
  year: 1973
  end-page: 438
  ident: CR2
  article-title: Dynamic programming and parallel computers
  publication-title: J Optimiz Theory App
  doi: 10.1007/BF00940421
– volume: 126
  start-page: 720
  year: 2017
  end-page: 732
  ident: CR6
  article-title: Hydropower system operation optimization by discrete differential dynamic programming based on orthogonal experiment design
  publication-title: Energy
  doi: 10.1016/j.energy.2017.03.069
– volume: 37
  start-page: 48
  issue: 2
  year: 2017
  end-page: 54
  ident: CR19
  article-title: Optimal operation of cascaded reservoirs based on fork / join multi-core parallel framework
  publication-title: Advances in Science and Technology of Water Resources
  doi: 10.3880/j.issn.1006-7647.2017.02.009
– volume: 253
  start-page: 113535
  year: 2019
  ident: CR22
  article-title: Identifying long-term effects of using hydropower to complement wind power uncertainty through stochastic programming
  publication-title: Appl Energy
  doi: 10.1016/j.apenergy.2019.113535
– volume: 65
  start-page: 310
  issue: 2
  year: 2013
  end-page: 321
  ident: CR26
  article-title: Use of parallel deterministic dynamic programming and hierarchical adaptive genetic algorithm for reservoir operation optimization
  publication-title: Comput Ind Eng
  doi: 10.1016/j.cie.2013.02.003
– volume: 51
  start-page: 107
  issue: 1
  year: 2008
  end-page: 113
  ident: CR3
  article-title: MapReduce: simplified data processing on large clusters
  publication-title: Commun ACM
  doi: 10.1145/1327452.1327492
– volume: 25
  start-page: 179
  issue: 2
  year: 2009
  end-page: 183
  ident: CR7
  article-title: Compute and storage clouds using wide area high performance networks
  publication-title: Futur Gener Comput Syst
  doi: 10.1016/j.future.2008.07.009
– volume: 53
  start-page: 72
  issue: 1
  year: 2010
  end-page: 77
  ident: CR4
  article-title: MapReduce: a flexible data processing tool
  publication-title: Commun ACM
  doi: 10.1145/1629175.1629198
– ident: CR10
– volume: 130
  start-page: 93
  issue: 2
  year: 2004
  end-page: 111
  ident: CR13
  article-title: Optimal operation of multireservoir systems: state-of-the-art review
  publication-title: J Water Resour Plan Manag
  doi: 10.1061/(ASCE)0733-9496(2004)130:2(93
– volume: 133
  start-page: 192
  issue: 3
  year: 2007
  end-page: 201
  ident: CR12
  article-title: Multipurpose reservoir operation using particle swarm optimization
  publication-title: J Water Resour Plan Manag
  doi: 10.1061/(ASCE)0733-9496(2007)133:3(192
– volume: 2012
  start-page: 2
  year: 2012
  end-page: 2
  ident: CR24
  article-title: Resilient distributed datasets: a fault-tolerant abstraction for in-memory cluster computing
  publication-title: Networked Systems Design and Implementation
– volume: 10
  start-page: 95
  issue: 10–10
  year: 2010
  ident: CR23
  article-title: Spark: cluster computing with working sets
  publication-title: HotCloud
– volume: 29
  start-page: 407
  issue: 3
  year: 2003
  end-page: 419
  ident: CR1
  article-title: Hybrid real coded genetic algorithm solution to economic dispatch problem
  publication-title: Comput Electr Eng
  doi: 10.1016/S0045-7906(01)00039-8
– ident: CR8
– ident: CR25
– volume: 30
  start-page: 1019
  issue: 3
  year: 2016
  end-page: 1035
  ident: CR17
  article-title: Research and application of parallel normal cloud mutation shuffled frog leaping algorithm in cascade reservoirs optimal operation
  publication-title: Water Resour Manag
  doi: 10.1007/s11269-015-1208-3
– volume: 32
  start-page: 2539
  issue: 7
  year: 2018
  end-page: 2560
  ident: CR5
  article-title: Reservoir optimization for energy production using a new evolutionary algorithm based on multi-criteria decision-making models
  publication-title: Water Resour Manag
  doi: 10.1007/s11269-018-1945-1
– volume: 51
  start-page: 6359
  issue: 8
  year: 2015
  end-page: 6380
  ident: CR20
  article-title: Scenario tree reduction in stochastic programming with recourse for hydropower operations
  publication-title: Water Resour Res
  doi: 10.1002/2014WR016828
– volume: 6
  start-page: 245
  issue: 2
  year: 1970
  end-page: 252
  ident: CR14
  article-title: A dynamic programming successive approximations technique with convergence proofs
  publication-title: Automatica
  doi: 10.1016/0005-1098(70)90095-6
– volume: 20
  start-page: 1042
  issue: 5
  year: 2018
  end-page: 1057
  ident: CR21
  article-title: Exploration and attribution of synergistic gains from joint optimal operation of downstream Jinsha River cascade and three gorges cascade reservoirs for hydropower generation
  publication-title: J Hydroinf
  doi: 10.2166/hydro.2018.116
– volume: 7
  start-page: 273
  issue: 2
  year: 1971
  end-page: 282
  ident: CR11
  article-title: Discrete differential dynamic programing approach to water resources systems optimization
  publication-title: Water Resour Res
  doi: 10.1029/WR007i002p00273
– volume: 67
  start-page: 1
  year: 2014
  end-page: 15
  ident: CR15
  article-title: A parallel dynamic programming algorithm for multi-reservoir system optimization
  publication-title: Adv Water Resour
  doi: 10.1016/j.advwatres.2014.01.002
– volume: 31
  start-page: 2791
  issue: 9
  year: 2017
  end-page: 2807
  ident: CR16
  article-title: Long-term generation scheduling of hydropower system using multi-core parallelization of particle swarm optimization
  publication-title: Water Resour Manag
  doi: 10.1007/s11269-017-1662-1
– volume: 4
  start-page: 471
  issue: 3
  year: 1968
  end-page: 477
  ident: CR9
  article-title: Optimization of the operation of a multiple-purpose reservoir by dynamic programming
  publication-title: Water Resour Res
  doi: 10.1029/WR004i003p00471
– volume: 138
  start-page: 590
  issue: 6
  year: 2011
  end-page: 596
  ident: CR27
  article-title: Improved dynamic programming for reservoir operation optimization with a concave objective function
  publication-title: J Water Resour Plan Manag
  doi: 10.1061/(ASCE)WR.1943-5452.0000205
– volume: 25
  start-page: 179
  issue: 2
  year: 2009
  ident: 2566_CR7
  publication-title: Futur Gener Comput Syst
  doi: 10.1016/j.future.2008.07.009
– volume: 30
  start-page: 166
  issue: 6
  year: 2013
  ident: 2566_CR18
  publication-title: Journal of Hydroelectric Engineering
  doi: 10.3354/cr00999
– volume: 138
  start-page: 590
  issue: 6
  year: 2011
  ident: 2566_CR27
  publication-title: J Water Resour Plan Manag
  doi: 10.1061/(ASCE)WR.1943-5452.0000205
– volume: 29
  start-page: 407
  issue: 3
  year: 2003
  ident: 2566_CR1
  publication-title: Comput Electr Eng
  doi: 10.1016/S0045-7906(01)00039-8
– ident: 2566_CR8
  doi: 10.1098/rsta.2009.0053
– volume: 65
  start-page: 310
  issue: 2
  year: 2013
  ident: 2566_CR26
  publication-title: Comput Ind Eng
  doi: 10.1016/j.cie.2013.02.003
– volume: 32
  start-page: 2539
  issue: 7
  year: 2018
  ident: 2566_CR5
  publication-title: Water Resour Manag
  doi: 10.1007/s11269-018-1945-1
– volume: 126
  start-page: 720
  year: 2017
  ident: 2566_CR6
  publication-title: Energy
  doi: 10.1016/j.energy.2017.03.069
– ident: 2566_CR25
  doi: 10.1007/s00500-019-04188-9
– volume: 37
  start-page: 48
  issue: 2
  year: 2017
  ident: 2566_CR19
  publication-title: Advances in Science and Technology of Water Resources
  doi: 10.3880/j.issn.1006-7647.2017.02.009
– volume: 51
  start-page: 107
  issue: 1
  year: 2008
  ident: 2566_CR3
  publication-title: Commun ACM
  doi: 10.1145/1327452.1327492
– volume: 4
  start-page: 471
  issue: 3
  year: 1968
  ident: 2566_CR9
  publication-title: Water Resour Res
  doi: 10.1029/WR004i003p00471
– volume: 130
  start-page: 93
  issue: 2
  year: 2004
  ident: 2566_CR13
  publication-title: J Water Resour Plan Manag
  doi: 10.1061/(ASCE)0733-9496(2004)130:2(93
– volume: 2012
  start-page: 2
  year: 2012
  ident: 2566_CR24
  publication-title: Networked Systems Design and Implementation
– volume: 53
  start-page: 72
  issue: 1
  year: 2010
  ident: 2566_CR4
  publication-title: Commun ACM
  doi: 10.1145/1629175.1629198
– volume: 253
  start-page: 113535
  year: 2019
  ident: 2566_CR22
  publication-title: Appl Energy
  doi: 10.1016/j.apenergy.2019.113535
– volume: 7
  start-page: 273
  issue: 2
  year: 1971
  ident: 2566_CR11
  publication-title: Water Resour Res
  doi: 10.1029/WR007i002p00273
– volume: 30
  start-page: 1019
  issue: 3
  year: 2016
  ident: 2566_CR17
  publication-title: Water Resour Manag
  doi: 10.1007/s11269-015-1208-3
– volume: 51
  start-page: 6359
  issue: 8
  year: 2015
  ident: 2566_CR20
  publication-title: Water Resour Res
  doi: 10.1002/2014WR016828
– volume: 12
  start-page: 423
  issue: 4
  year: 1973
  ident: 2566_CR2
  publication-title: J Optimiz Theory App
  doi: 10.1007/BF00940421
– volume: 31
  start-page: 2791
  issue: 9
  year: 2017
  ident: 2566_CR16
  publication-title: Water Resour Manag
  doi: 10.1007/s11269-017-1662-1
– volume: 6
  start-page: 245
  issue: 2
  year: 1970
  ident: 2566_CR14
  publication-title: Automatica
  doi: 10.1016/0005-1098(70)90095-6
– volume: 67
  start-page: 1
  year: 2014
  ident: 2566_CR15
  publication-title: Adv Water Resour
  doi: 10.1016/j.advwatres.2014.01.002
– volume: 133
  start-page: 192
  issue: 3
  year: 2007
  ident: 2566_CR12
  publication-title: J Water Resour Plan Manag
  doi: 10.1061/(ASCE)0733-9496(2007)133:3(192
– volume: 10
  start-page: 95
  issue: 10–10
  year: 2010
  ident: 2566_CR23
  publication-title: HotCloud
– ident: 2566_CR10
  doi: 10.1109/PAAP.2015.41
– volume: 20
  start-page: 1042
  issue: 5
  year: 2018
  ident: 2566_CR21
  publication-title: J Hydroinf
  doi: 10.2166/hydro.2018.116
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Snippet The “curse of dimensionality” is a major problem in dynamic programming (DP) algorithms for large-scale hydropower systems. This study proposes a parallel DP...
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SubjectTerms administrative management
Algorithms
Atmospheric Sciences
China
Civil Engineering
Cores
Dynamic programming
Earth and Environmental Science
Earth Sciences
Efficiency
Environment
Geotechnical Engineering & Applied Earth Sciences
Hydroelectric power
Hydrogeology
Hydrology/Water Resources
Mathematical analysis
Reservoirs
River basins
Run time (computers)
water
Water levels
water power
watersheds
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Title Multidimensional Parallel Dynamic Programming Algorithm Based on Spark for Large-Scale Hydropower Systems
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