Optimal Operation Rules for Parallel Reservoir Systems with Distributed Water Demands Article Swipe
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.5194/egusphere-egu23-10741
This paper addresses the doubts regarding the spatial characteristics of the commonly used rules for parallel reservoir system operation. The rules based on aggregation-decomposition determine the system total release first and then assign this release to individual reservoirs, without considering the water demand distribution in the river network. In this paper, a conceptual model for parallel reservoir systems with distributed water demands is proposed. Three specific optimality conditions are derived for determining the optimal analytical solution. A rigorous proof shows that the aggregation-decomposition-based rules are a special case of the derived rules. An efficient algorithm is then developed based on the optimality conditions and shortage allocation index (SAI), in which a larger SAI indicates taking a higher percentage of the system water shortage, as release or storage. Unlike traditional algorithms that modify the violated variables empirically, we propose a criterion in terms of relative deviation indicators to determine the crucial priority of variable modification. This criterion can effectively address constraint violations. The optimal rules along with the solution algorithm are then demonstrated by the operation of a parallel reservoir system in the Shiyang River Basin, China. The results show that the proposed rules and algorithm are more efficient and effective than traditional algorithms and aggregation-decomposition-based rules, especially in dry seasons with more binding constraints.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.5194/egusphere-egu23-10741
- OA Status
- gold
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4321996545
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4321996545Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.5194/egusphere-egu23-10741Digital Object Identifier
- Title
-
Optimal Operation Rules for Parallel Reservoir Systems with Distributed Water DemandsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-02-26Full publication date if available
- Authors
-
Weisa Meng, Wenhua Wan, jianshi Zhao, Zhongjing WangList of authors in order
- Landing page
-
https://doi.org/10.5194/egusphere-egu23-10741Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.5194/egusphere-egu23-10741Direct OA link when available
- Concepts
-
Decomposition, Constraint (computer-aided design), Economic shortage, Computer science, Mathematical optimization, Variable (mathematics), Decomposition method (queueing theory), Mathematics, Chemistry, Discrete mathematics, Government (linguistics), Linguistics, Mathematical analysis, Organic chemistry, Geometry, PhilosophyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4321996545 |
|---|---|
| doi | https://doi.org/10.5194/egusphere-egu23-10741 |
| ids.doi | https://doi.org/10.5194/egusphere-egu23-10741 |
| ids.openalex | https://openalex.org/W4321996545 |
| fwci | 0.0 |
| type | preprint |
| title | Optimal Operation Rules for Parallel Reservoir Systems with Distributed Water Demands |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T10969 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.9997000098228455 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2212 |
| topics[0].subfield.display_name | Ocean Engineering |
| topics[0].display_name | Water resources management and optimization |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C124681953 |
| concepts[0].level | 2 |
| concepts[0].score | 0.6477161645889282 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q339062 |
| concepts[0].display_name | Decomposition |
| concepts[1].id | https://openalex.org/C2776036281 |
| concepts[1].level | 2 |
| concepts[1].score | 0.64432692527771 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q48769818 |
| concepts[1].display_name | Constraint (computer-aided design) |
| concepts[2].id | https://openalex.org/C194051981 |
| concepts[2].level | 3 |
| concepts[2].score | 0.5796838998794556 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q1337691 |
| concepts[2].display_name | Economic shortage |
| concepts[3].id | https://openalex.org/C41008148 |
| concepts[3].level | 0 |
| concepts[3].score | 0.5672370195388794 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[3].display_name | Computer science |
| concepts[4].id | https://openalex.org/C126255220 |
| concepts[4].level | 1 |
| concepts[4].score | 0.5642954707145691 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q141495 |
| concepts[4].display_name | Mathematical optimization |
| concepts[5].id | https://openalex.org/C182365436 |
| concepts[5].level | 2 |
| concepts[5].score | 0.48838943243026733 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q50701 |
| concepts[5].display_name | Variable (mathematics) |
| concepts[6].id | https://openalex.org/C2778258933 |
| concepts[6].level | 2 |
| concepts[6].score | 0.4357777237892151 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q16918986 |
| concepts[6].display_name | Decomposition method (queueing theory) |
| concepts[7].id | https://openalex.org/C33923547 |
| concepts[7].level | 0 |
| concepts[7].score | 0.18651330471038818 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[7].display_name | Mathematics |
| concepts[8].id | https://openalex.org/C185592680 |
| concepts[8].level | 0 |
| concepts[8].score | 0.08177557587623596 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q2329 |
| concepts[8].display_name | Chemistry |
| concepts[9].id | https://openalex.org/C118615104 |
| concepts[9].level | 1 |
| concepts[9].score | 0.0 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q121416 |
| concepts[9].display_name | Discrete mathematics |
| concepts[10].id | https://openalex.org/C2778137410 |
| concepts[10].level | 2 |
| concepts[10].score | 0.0 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q2732820 |
| concepts[10].display_name | Government (linguistics) |
| concepts[11].id | https://openalex.org/C41895202 |
| concepts[11].level | 1 |
| concepts[11].score | 0.0 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q8162 |
| concepts[11].display_name | Linguistics |
| concepts[12].id | https://openalex.org/C134306372 |
| concepts[12].level | 1 |
| concepts[12].score | 0.0 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q7754 |
| concepts[12].display_name | Mathematical analysis |
| concepts[13].id | https://openalex.org/C178790620 |
| concepts[13].level | 1 |
| concepts[13].score | 0.0 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q11351 |
| concepts[13].display_name | Organic chemistry |
| concepts[14].id | https://openalex.org/C2524010 |
| concepts[14].level | 1 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q8087 |
| concepts[14].display_name | Geometry |
| concepts[15].id | https://openalex.org/C138885662 |
| concepts[15].level | 0 |
| concepts[15].score | 0.0 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q5891 |
| concepts[15].display_name | Philosophy |
| keywords[0].id | https://openalex.org/keywords/decomposition |
| keywords[0].score | 0.6477161645889282 |
| keywords[0].display_name | Decomposition |
| keywords[1].id | https://openalex.org/keywords/constraint |
| keywords[1].score | 0.64432692527771 |
| keywords[1].display_name | Constraint (computer-aided design) |
| keywords[2].id | https://openalex.org/keywords/economic-shortage |
| keywords[2].score | 0.5796838998794556 |
| keywords[2].display_name | Economic shortage |
| keywords[3].id | https://openalex.org/keywords/computer-science |
| keywords[3].score | 0.5672370195388794 |
| keywords[3].display_name | Computer science |
| keywords[4].id | https://openalex.org/keywords/mathematical-optimization |
| keywords[4].score | 0.5642954707145691 |
| keywords[4].display_name | Mathematical optimization |
| keywords[5].id | https://openalex.org/keywords/variable |
| keywords[5].score | 0.48838943243026733 |
| keywords[5].display_name | Variable (mathematics) |
| keywords[6].id | https://openalex.org/keywords/decomposition-method |
| keywords[6].score | 0.4357777237892151 |
| keywords[6].display_name | Decomposition method (queueing theory) |
| keywords[7].id | https://openalex.org/keywords/mathematics |
| keywords[7].score | 0.18651330471038818 |
| keywords[7].display_name | Mathematics |
| keywords[8].id | https://openalex.org/keywords/chemistry |
| keywords[8].score | 0.08177557587623596 |
| keywords[8].display_name | Chemistry |
| language | en |
| locations[0].id | doi:10.5194/egusphere-egu23-10741 |
| locations[0].is_oa | True |
| locations[0].source | |
| locations[0].license | cc-by |
| locations[0].pdf_url | |
| locations[0].version | acceptedVersion |
| locations[0].raw_type | posted-content |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.5194/egusphere-egu23-10741 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5067059664 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Weisa Meng |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | weisa Meng |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5069575144 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-1356-0467 |
| authorships[1].author.display_name | Wenhua Wan |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | wenhua Wan |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5084539417 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | jianshi Zhao |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | jianshi Zhao |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5057471586 |
| authorships[3].author.orcid | https://orcid.org/0000-0001-9374-564X |
| authorships[3].author.display_name | Zhongjing Wang |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | zhongjing Wang |
| authorships[3].is_corresponding | False |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.5194/egusphere-egu23-10741 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Optimal Operation Rules for Parallel Reservoir Systems with Distributed Water Demands |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T10969 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.9997000098228455 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2212 |
| primary_topic.subfield.display_name | Ocean Engineering |
| primary_topic.display_name | Water resources management and optimization |
| related_works | https://openalex.org/W2390815705, https://openalex.org/W1493010546, https://openalex.org/W2153629319, https://openalex.org/W2330487432, https://openalex.org/W239705756, https://openalex.org/W2104316494, https://openalex.org/W156119379, https://openalex.org/W2082139080, https://openalex.org/W1579750695, https://openalex.org/W4231015910 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.5194/egusphere-egu23-10741 |
| best_oa_location.is_oa | True |
| best_oa_location.source | |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | acceptedVersion |
| best_oa_location.raw_type | posted-content |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://doi.org/10.5194/egusphere-egu23-10741 |
| primary_location.id | doi:10.5194/egusphere-egu23-10741 |
| primary_location.is_oa | True |
| primary_location.source | |
| primary_location.license | cc-by |
| primary_location.pdf_url | |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.5194/egusphere-egu23-10741 |
| publication_date | 2023-02-26 |
| publication_year | 2023 |
| referenced_works_count | 0 |
| abstract_inverted_index.A | 76 |
| abstract_inverted_index.a | 51, 85, 110, 115, 138, 176 |
| abstract_inverted_index.An | 92 |
| abstract_inverted_index.In | 48 |
| abstract_inverted_index.as | 123 |
| abstract_inverted_index.by | 172 |
| abstract_inverted_index.in | 44, 108, 140, 180, 207 |
| abstract_inverted_index.is | 62, 95 |
| abstract_inverted_index.of | 9, 88, 118, 142, 151, 175 |
| abstract_inverted_index.on | 22, 99 |
| abstract_inverted_index.or | 125 |
| abstract_inverted_index.to | 35, 146 |
| abstract_inverted_index.we | 136 |
| abstract_inverted_index.SAI | 112 |
| abstract_inverted_index.The | 19, 161, 186 |
| abstract_inverted_index.and | 30, 103, 193, 198, 203 |
| abstract_inverted_index.are | 68, 84, 169, 195 |
| abstract_inverted_index.can | 156 |
| abstract_inverted_index.dry | 208 |
| abstract_inverted_index.for | 14, 54, 70 |
| abstract_inverted_index.the | 3, 6, 10, 25, 40, 45, 72, 81, 89, 100, 119, 132, 148, 166, 173, 181, 190 |
| abstract_inverted_index.This | 0, 154 |
| abstract_inverted_index.case | 87 |
| abstract_inverted_index.more | 196, 211 |
| abstract_inverted_index.show | 188 |
| abstract_inverted_index.than | 200 |
| abstract_inverted_index.that | 80, 130, 189 |
| abstract_inverted_index.then | 31, 96, 170 |
| abstract_inverted_index.this | 33, 49 |
| abstract_inverted_index.used | 12 |
| abstract_inverted_index.with | 58, 165, 210 |
| abstract_inverted_index.River | 183 |
| abstract_inverted_index.Three | 64 |
| abstract_inverted_index.along | 164 |
| abstract_inverted_index.based | 21, 98 |
| abstract_inverted_index.first | 29 |
| abstract_inverted_index.index | 106 |
| abstract_inverted_index.model | 53 |
| abstract_inverted_index.paper | 1 |
| abstract_inverted_index.proof | 78 |
| abstract_inverted_index.river | 46 |
| abstract_inverted_index.rules | 13, 20, 83, 163, 192 |
| abstract_inverted_index.shows | 79 |
| abstract_inverted_index.terms | 141 |
| abstract_inverted_index.total | 27 |
| abstract_inverted_index.water | 41, 60, 121 |
| abstract_inverted_index.which | 109 |
| abstract_inverted_index.(SAI), | 107 |
| abstract_inverted_index.Basin, | 184 |
| abstract_inverted_index.China. | 185 |
| abstract_inverted_index.Unlike | 127 |
| abstract_inverted_index.assign | 32 |
| abstract_inverted_index.demand | 42 |
| abstract_inverted_index.doubts | 4 |
| abstract_inverted_index.higher | 116 |
| abstract_inverted_index.larger | 111 |
| abstract_inverted_index.modify | 131 |
| abstract_inverted_index.paper, | 50 |
| abstract_inverted_index.rules, | 205 |
| abstract_inverted_index.rules. | 91 |
| abstract_inverted_index.system | 17, 26, 120, 179 |
| abstract_inverted_index.taking | 114 |
| abstract_inverted_index.Shiyang | 182 |
| abstract_inverted_index.address | 158 |
| abstract_inverted_index.binding | 212 |
| abstract_inverted_index.crucial | 149 |
| abstract_inverted_index.demands | 61 |
| abstract_inverted_index.derived | 69, 90 |
| abstract_inverted_index.optimal | 73, 162 |
| abstract_inverted_index.propose | 137 |
| abstract_inverted_index.release | 28, 34, 124 |
| abstract_inverted_index.results | 187 |
| abstract_inverted_index.seasons | 209 |
| abstract_inverted_index.spatial | 7 |
| abstract_inverted_index.special | 86 |
| abstract_inverted_index.systems | 57 |
| abstract_inverted_index.without | 38 |
| abstract_inverted_index.commonly | 11 |
| abstract_inverted_index.network. | 47 |
| abstract_inverted_index.parallel | 15, 55, 177 |
| abstract_inverted_index.priority | 150 |
| abstract_inverted_index.proposed | 191 |
| abstract_inverted_index.relative | 143 |
| abstract_inverted_index.rigorous | 77 |
| abstract_inverted_index.shortage | 104 |
| abstract_inverted_index.solution | 167 |
| abstract_inverted_index.specific | 65 |
| abstract_inverted_index.storage. | 126 |
| abstract_inverted_index.variable | 152 |
| abstract_inverted_index.violated | 133 |
| abstract_inverted_index.addresses | 2 |
| abstract_inverted_index.algorithm | 94, 168, 194 |
| abstract_inverted_index.criterion | 139, 155 |
| abstract_inverted_index.determine | 24, 147 |
| abstract_inverted_index.developed | 97 |
| abstract_inverted_index.deviation | 144 |
| abstract_inverted_index.effective | 199 |
| abstract_inverted_index.efficient | 93, 197 |
| abstract_inverted_index.indicates | 113 |
| abstract_inverted_index.operation | 174 |
| abstract_inverted_index.proposed. | 63 |
| abstract_inverted_index.regarding | 5 |
| abstract_inverted_index.reservoir | 16, 56, 178 |
| abstract_inverted_index.shortage, | 122 |
| abstract_inverted_index.solution. | 75 |
| abstract_inverted_index.variables | 134 |
| abstract_inverted_index.algorithms | 129, 202 |
| abstract_inverted_index.allocation | 105 |
| abstract_inverted_index.analytical | 74 |
| abstract_inverted_index.conceptual | 52 |
| abstract_inverted_index.conditions | 67, 102 |
| abstract_inverted_index.constraint | 159 |
| abstract_inverted_index.especially | 206 |
| abstract_inverted_index.indicators | 145 |
| abstract_inverted_index.individual | 36 |
| abstract_inverted_index.operation. | 18 |
| abstract_inverted_index.optimality | 66, 101 |
| abstract_inverted_index.percentage | 117 |
| abstract_inverted_index.considering | 39 |
| abstract_inverted_index.determining | 71 |
| abstract_inverted_index.distributed | 59 |
| abstract_inverted_index.effectively | 157 |
| abstract_inverted_index.reservoirs, | 37 |
| abstract_inverted_index.traditional | 128, 201 |
| abstract_inverted_index.violations. | 160 |
| abstract_inverted_index.constraints. | 213 |
| abstract_inverted_index.demonstrated | 171 |
| abstract_inverted_index.distribution | 43 |
| abstract_inverted_index.empirically, | 135 |
| abstract_inverted_index.modification. | 153 |
| abstract_inverted_index.characteristics | 8 |
| abstract_inverted_index.aggregation-decomposition | 23 |
| abstract_inverted_index.aggregation-decomposition-based | 82, 204 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 4 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/6 |
| sustainable_development_goals[0].score | 0.8600000143051147 |
| sustainable_development_goals[0].display_name | Clean water and sanitation |
| citation_normalized_percentile.value | 0.02232587 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |