Reliability Assessment of Rural Clean Energy Supply System Based on Accurate Modeling of User Demand Article Swipe
Hong Liu
,
Chenxiao Zhao
,
Shaoyun Ge
,
Yuchen Cao
,
Jingyi Liu
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.46855/energy-proceedings-4539
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.46855/energy-proceedings-4539
The popularity of electric heating equipment in rural areas has led to an increase of the peak load of electricity.In order to ensure the reliability of the system, the indoor building heat balance and the flexible comfort requirements of users can be comprehensively considered.So we propose a reliability assessment method of rural clean energy supply system based on accurate modeling of user demand.Firstly, the rural clean energy supply system framework is constructed, including the system-side equipment model and userside building heat balance model.Secondly, we model the user's flexible comfort requirements, which derive indicators of the reliability of energy supply considering flexible comfort requirements.Thirdly, the method of fault impact analysis of rural clean energy supply system is proposed, and the load reduction strategy at failure time and the process of reliability assessment are formulated.Finally, through practical examples, we compare the reliability indicator whether considering the user's flexible comfort requirements and the building heat balance characteristics or not, which prove the improvement of the reliability of energy supply of the whole system of the proposed method.
Related Topics
Concepts
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.46855/energy-proceedings-4539
- http://www.energy-proceedings.org/wp-content/uploads/2020/02/847_Paper_0626091509.pdf
- OA Status
- gold
- References
- 3
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4285701862
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4285701862Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.46855/energy-proceedings-4539Digital Object Identifier
- Title
-
Reliability Assessment of Rural Clean Energy Supply System Based on Accurate Modeling of User DemandWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-03-10Full publication date if available
- Authors
-
Hong Liu, Chenxiao Zhao, Shaoyun Ge, Yuchen Cao, Jingyi LiuList of authors in order
- Landing page
-
https://doi.org/10.46855/energy-proceedings-4539Publisher landing page
- PDF URL
-
https://www.energy-proceedings.org/wp-content/uploads/2020/02/847_Paper_0626091509.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.energy-proceedings.org/wp-content/uploads/2020/02/847_Paper_0626091509.pdfDirect OA link when available
- Concepts
-
Reliability (semiconductor), Reliability engineering, Environmental economics, Supply and demand, Energy demand, Computer science, Environmental science, Engineering, Economics, Microeconomics, Power (physics), Quantum mechanics, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
3Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4285701862 |
|---|---|
| doi | https://doi.org/10.46855/energy-proceedings-4539 |
| ids.doi | https://doi.org/10.46855/energy-proceedings-4539 |
| ids.openalex | https://openalex.org/W4285701862 |
| fwci | 0.0 |
| type | preprint |
| title | Reliability Assessment of Rural Clean Energy Supply System Based on Accurate Modeling of User Demand |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T12451 |
| topics[0].field.id | https://openalex.org/fields/22 |
| topics[0].field.display_name | Engineering |
| topics[0].score | 0.7128999829292297 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2208 |
| topics[0].subfield.display_name | Electrical and Electronic Engineering |
| topics[0].display_name | Smart Grid and Power Systems |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C43214815 |
| concepts[0].level | 3 |
| concepts[0].score | 0.6908345222473145 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q7310987 |
| concepts[0].display_name | Reliability (semiconductor) |
| concepts[1].id | https://openalex.org/C200601418 |
| concepts[1].level | 1 |
| concepts[1].score | 0.5593137741088867 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q2193887 |
| concepts[1].display_name | Reliability engineering |
| concepts[2].id | https://openalex.org/C134560507 |
| concepts[2].level | 1 |
| concepts[2].score | 0.5213802456855774 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q753291 |
| concepts[2].display_name | Environmental economics |
| concepts[3].id | https://openalex.org/C120330832 |
| concepts[3].level | 2 |
| concepts[3].score | 0.5111616253852844 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q166656 |
| concepts[3].display_name | Supply and demand |
| concepts[4].id | https://openalex.org/C2983177510 |
| concepts[4].level | 2 |
| concepts[4].score | 0.499129056930542 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q1853339 |
| concepts[4].display_name | Energy demand |
| concepts[5].id | https://openalex.org/C41008148 |
| concepts[5].level | 0 |
| concepts[5].score | 0.4005856215953827 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q21198 |
| concepts[5].display_name | Computer science |
| concepts[6].id | https://openalex.org/C39432304 |
| concepts[6].level | 0 |
| concepts[6].score | 0.381206750869751 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q188847 |
| concepts[6].display_name | Environmental science |
| concepts[7].id | https://openalex.org/C127413603 |
| concepts[7].level | 0 |
| concepts[7].score | 0.2250155806541443 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q11023 |
| concepts[7].display_name | Engineering |
| concepts[8].id | https://openalex.org/C162324750 |
| concepts[8].level | 0 |
| concepts[8].score | 0.20910462737083435 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q8134 |
| concepts[8].display_name | Economics |
| concepts[9].id | https://openalex.org/C175444787 |
| concepts[9].level | 1 |
| concepts[9].score | 0.11073878407478333 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q39072 |
| concepts[9].display_name | Microeconomics |
| concepts[10].id | https://openalex.org/C163258240 |
| concepts[10].level | 2 |
| concepts[10].score | 0.0 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q25342 |
| concepts[10].display_name | Power (physics) |
| concepts[11].id | https://openalex.org/C62520636 |
| concepts[11].level | 1 |
| concepts[11].score | 0.0 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q944 |
| concepts[11].display_name | Quantum mechanics |
| concepts[12].id | https://openalex.org/C121332964 |
| concepts[12].level | 0 |
| concepts[12].score | 0.0 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q413 |
| concepts[12].display_name | Physics |
| keywords[0].id | https://openalex.org/keywords/reliability |
| keywords[0].score | 0.6908345222473145 |
| keywords[0].display_name | Reliability (semiconductor) |
| keywords[1].id | https://openalex.org/keywords/reliability-engineering |
| keywords[1].score | 0.5593137741088867 |
| keywords[1].display_name | Reliability engineering |
| keywords[2].id | https://openalex.org/keywords/environmental-economics |
| keywords[2].score | 0.5213802456855774 |
| keywords[2].display_name | Environmental economics |
| keywords[3].id | https://openalex.org/keywords/supply-and-demand |
| keywords[3].score | 0.5111616253852844 |
| keywords[3].display_name | Supply and demand |
| keywords[4].id | https://openalex.org/keywords/energy-demand |
| keywords[4].score | 0.499129056930542 |
| keywords[4].display_name | Energy demand |
| keywords[5].id | https://openalex.org/keywords/computer-science |
| keywords[5].score | 0.4005856215953827 |
| keywords[5].display_name | Computer science |
| keywords[6].id | https://openalex.org/keywords/environmental-science |
| keywords[6].score | 0.381206750869751 |
| keywords[6].display_name | Environmental science |
| keywords[7].id | https://openalex.org/keywords/engineering |
| keywords[7].score | 0.2250155806541443 |
| keywords[7].display_name | Engineering |
| keywords[8].id | https://openalex.org/keywords/economics |
| keywords[8].score | 0.20910462737083435 |
| keywords[8].display_name | Economics |
| keywords[9].id | https://openalex.org/keywords/microeconomics |
| keywords[9].score | 0.11073878407478333 |
| keywords[9].display_name | Microeconomics |
| language | en |
| locations[0].id | doi:10.46855/energy-proceedings-4539 |
| locations[0].is_oa | True |
| locations[0].source | |
| locations[0].license | |
| locations[0].pdf_url | http://www.energy-proceedings.org/wp-content/uploads/2020/02/847_Paper_0626091509.pdf |
| locations[0].version | acceptedVersion |
| locations[0].raw_type | posted-content |
| locations[0].license_id | |
| locations[0].is_accepted | True |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.46855/energy-proceedings-4539 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5103936980 |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | Hong Liu |
| authorships[0].countries | CN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I162868743 |
| authorships[0].affiliations[0].raw_affiliation_string | Key Laboratory of Smart Grid of Ministry of Education (Tianjin University), Nankai District, Tianjin 300072, China |
| authorships[0].institutions[0].id | https://openalex.org/I162868743 |
| authorships[0].institutions[0].ror | https://ror.org/012tb2g32 |
| authorships[0].institutions[0].type | education |
| authorships[0].institutions[0].lineage | https://openalex.org/I162868743 |
| authorships[0].institutions[0].country_code | CN |
| authorships[0].institutions[0].display_name | Tianjin University |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Hong Liu |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Key Laboratory of Smart Grid of Ministry of Education (Tianjin University), Nankai District, Tianjin 300072, China |
| authorships[1].author.id | https://openalex.org/A5018576548 |
| authorships[1].author.orcid | https://orcid.org/0000-0003-4043-4797 |
| authorships[1].author.display_name | Chenxiao Zhao |
| authorships[1].countries | CN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I162868743 |
| authorships[1].affiliations[0].raw_affiliation_string | Key Laboratory of Smart Grid of Ministry of Education (Tianjin University), Nankai District, Tianjin 300072, China |
| authorships[1].institutions[0].id | https://openalex.org/I162868743 |
| authorships[1].institutions[0].ror | https://ror.org/012tb2g32 |
| authorships[1].institutions[0].type | education |
| authorships[1].institutions[0].lineage | https://openalex.org/I162868743 |
| authorships[1].institutions[0].country_code | CN |
| authorships[1].institutions[0].display_name | Tianjin University |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Chenxiao Zhao |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Key Laboratory of Smart Grid of Ministry of Education (Tianjin University), Nankai District, Tianjin 300072, China |
| authorships[2].author.id | https://openalex.org/A5043213372 |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | Shaoyun Ge |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Shaoyun Ge |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | https://openalex.org/A5113824563 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Yuchen Cao |
| authorships[3].countries | CN |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I162868743 |
| authorships[3].affiliations[0].raw_affiliation_string | Key Laboratory of Smart Grid of Ministry of Education (Tianjin University), Nankai District, Tianjin 300072, China |
| authorships[3].institutions[0].id | https://openalex.org/I162868743 |
| authorships[3].institutions[0].ror | https://ror.org/012tb2g32 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I162868743 |
| authorships[3].institutions[0].country_code | CN |
| authorships[3].institutions[0].display_name | Tianjin University |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Yuchen Cao |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Key Laboratory of Smart Grid of Ministry of Education (Tianjin University), Nankai District, Tianjin 300072, China |
| authorships[4].author.id | https://openalex.org/A5100434419 |
| authorships[4].author.orcid | https://orcid.org/0000-0001-9667-682X |
| authorships[4].author.display_name | Jingyi Liu |
| authorships[4].countries | CN |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I162868743 |
| authorships[4].affiliations[0].raw_affiliation_string | Key Laboratory of Smart Grid of Ministry of Education (Tianjin University), Nankai District, Tianjin 300072, China |
| authorships[4].institutions[0].id | https://openalex.org/I162868743 |
| authorships[4].institutions[0].ror | https://ror.org/012tb2g32 |
| authorships[4].institutions[0].type | education |
| authorships[4].institutions[0].lineage | https://openalex.org/I162868743 |
| authorships[4].institutions[0].country_code | CN |
| authorships[4].institutions[0].display_name | Tianjin University |
| authorships[4].author_position | last |
| authorships[4].raw_author_name | Jingyi Liu |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Key Laboratory of Smart Grid of Ministry of Education (Tianjin University), Nankai District, Tianjin 300072, China |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | http://www.energy-proceedings.org/wp-content/uploads/2020/02/847_Paper_0626091509.pdf |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Reliability Assessment of Rural Clean Energy Supply System Based on Accurate Modeling of User Demand |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T12451 |
| primary_topic.field.id | https://openalex.org/fields/22 |
| primary_topic.field.display_name | Engineering |
| primary_topic.score | 0.7128999829292297 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2208 |
| primary_topic.subfield.display_name | Electrical and Electronic Engineering |
| primary_topic.display_name | Smart Grid and Power Systems |
| related_works | https://openalex.org/W2033512842, https://openalex.org/W4322734194, https://openalex.org/W1607054433, https://openalex.org/W3005535424, https://openalex.org/W4233600955, https://openalex.org/W2913665393, https://openalex.org/W2369695847, https://openalex.org/W2994319598, https://openalex.org/W2110842462, https://openalex.org/W4233757488 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.46855/energy-proceedings-4539 |
| best_oa_location.is_oa | True |
| best_oa_location.source | |
| best_oa_location.license | |
| best_oa_location.pdf_url | http://www.energy-proceedings.org/wp-content/uploads/2020/02/847_Paper_0626091509.pdf |
| best_oa_location.version | acceptedVersion |
| best_oa_location.raw_type | posted-content |
| best_oa_location.license_id | |
| 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/10.46855/energy-proceedings-4539 |
| primary_location.id | doi:10.46855/energy-proceedings-4539 |
| primary_location.is_oa | True |
| primary_location.source | |
| primary_location.license | |
| primary_location.pdf_url | http://www.energy-proceedings.org/wp-content/uploads/2020/02/847_Paper_0626091509.pdf |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.46855/energy-proceedings-4539 |
| publication_date | 2020-03-10 |
| publication_year | 2020 |
| referenced_works | https://openalex.org/W2375424440, https://openalex.org/W2889385084, https://openalex.org/W3004171268 |
| referenced_works_count | 3 |
| abstract_inverted_index.a | 46 |
| abstract_inverted_index.an | 12 |
| abstract_inverted_index.at | 122 |
| abstract_inverted_index.be | 41 |
| abstract_inverted_index.in | 6 |
| abstract_inverted_index.is | 70, 115 |
| abstract_inverted_index.of | 2, 14, 18, 25, 38, 50, 60, 93, 96, 105, 109, 128, 160, 163, 166, 170 |
| abstract_inverted_index.on | 57 |
| abstract_inverted_index.or | 154 |
| abstract_inverted_index.to | 11, 21 |
| abstract_inverted_index.we | 44, 83, 136 |
| abstract_inverted_index.The | 0 |
| abstract_inverted_index.and | 33, 77, 117, 125, 148 |
| abstract_inverted_index.are | 131 |
| abstract_inverted_index.can | 40 |
| abstract_inverted_index.has | 9 |
| abstract_inverted_index.led | 10 |
| abstract_inverted_index.the | 15, 23, 26, 28, 34, 63, 73, 85, 94, 103, 118, 126, 138, 143, 149, 158, 161, 167, 171 |
| abstract_inverted_index.heat | 31, 80, 151 |
| abstract_inverted_index.load | 17, 119 |
| abstract_inverted_index.not, | 155 |
| abstract_inverted_index.peak | 16 |
| abstract_inverted_index.time | 124 |
| abstract_inverted_index.user | 61 |
| abstract_inverted_index.areas | 8 |
| abstract_inverted_index.based | 56 |
| abstract_inverted_index.clean | 52, 65, 111 |
| abstract_inverted_index.fault | 106 |
| abstract_inverted_index.model | 76, 84 |
| abstract_inverted_index.order | 20 |
| abstract_inverted_index.prove | 157 |
| abstract_inverted_index.rural | 7, 51, 64, 110 |
| abstract_inverted_index.users | 39 |
| abstract_inverted_index.which | 90, 156 |
| abstract_inverted_index.whole | 168 |
| abstract_inverted_index.derive | 91 |
| abstract_inverted_index.energy | 53, 66, 97, 112, 164 |
| abstract_inverted_index.ensure | 22 |
| abstract_inverted_index.impact | 107 |
| abstract_inverted_index.indoor | 29 |
| abstract_inverted_index.method | 49, 104 |
| abstract_inverted_index.supply | 54, 67, 98, 113, 165 |
| abstract_inverted_index.system | 55, 68, 114, 169 |
| abstract_inverted_index.user's | 86, 144 |
| abstract_inverted_index.balance | 32, 81, 152 |
| abstract_inverted_index.comfort | 36, 88, 101, 146 |
| abstract_inverted_index.compare | 137 |
| abstract_inverted_index.failure | 123 |
| abstract_inverted_index.heating | 4 |
| abstract_inverted_index.method. | 173 |
| abstract_inverted_index.process | 127 |
| abstract_inverted_index.propose | 45 |
| abstract_inverted_index.system, | 27 |
| abstract_inverted_index.through | 133 |
| abstract_inverted_index.whether | 141 |
| abstract_inverted_index.accurate | 58 |
| abstract_inverted_index.analysis | 108 |
| abstract_inverted_index.building | 30, 79, 150 |
| abstract_inverted_index.electric | 3 |
| abstract_inverted_index.flexible | 35, 87, 100, 145 |
| abstract_inverted_index.increase | 13 |
| abstract_inverted_index.modeling | 59 |
| abstract_inverted_index.proposed | 172 |
| abstract_inverted_index.strategy | 121 |
| abstract_inverted_index.userside | 78 |
| abstract_inverted_index.equipment | 5, 75 |
| abstract_inverted_index.examples, | 135 |
| abstract_inverted_index.framework | 69 |
| abstract_inverted_index.including | 72 |
| abstract_inverted_index.indicator | 140 |
| abstract_inverted_index.practical | 134 |
| abstract_inverted_index.proposed, | 116 |
| abstract_inverted_index.reduction | 120 |
| abstract_inverted_index.assessment | 48, 130 |
| abstract_inverted_index.indicators | 92 |
| abstract_inverted_index.popularity | 1 |
| abstract_inverted_index.considering | 99, 142 |
| abstract_inverted_index.improvement | 159 |
| abstract_inverted_index.reliability | 24, 47, 95, 129, 139, 162 |
| abstract_inverted_index.system-side | 74 |
| abstract_inverted_index.constructed, | 71 |
| abstract_inverted_index.requirements | 37, 147 |
| abstract_inverted_index.considered.So | 43 |
| abstract_inverted_index.requirements, | 89 |
| abstract_inverted_index.electricity.In | 19 |
| abstract_inverted_index.characteristics | 153 |
| abstract_inverted_index.comprehensively | 42 |
| abstract_inverted_index.demand.Firstly, | 62 |
| abstract_inverted_index.model.Secondly, | 82 |
| abstract_inverted_index.formulated.Finally, | 132 |
| abstract_inverted_index.requirements.Thirdly, | 102 |
| cited_by_percentile_year | |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| citation_normalized_percentile.value | 0.22566813 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |