Eintrag weiter verarbeiten
Study on cascade hydropower alternative schemes based on multi-objective particle swarm optimization algorithm
Gespeichert in:
| Veröffentlicht in: | Energy reports 6(2020), 2 vom: Feb., Seite 235-242 |
|---|---|
| Personen und Körperschaften: | , , , |
| Titel: | Study on cascade hydropower alternative schemes based on multi-objective particle swarm optimization algorithm/ Jia-peng Wu, Lai-sheng Liu, Ji-jun Gao, Qi-wen Wang |
| Format: | E-Book-Kapitel |
| Sprache: | Englisch |
| veröffentlicht: |
2020
|
| Gesamtaufnahme: |
: Energy reports, 6(2020), 2 vom: Feb., Seite 235-242
, volume:6 |
| Schlagwörter: | |
| Quelle: | Verbunddaten SWB Lizenzfreie Online-Ressourcen |
| LEADER | 04405caa a2200517 4500 | ||
|---|---|---|---|
| 001 | 0-1693186942 | ||
| 003 | DE-627 | ||
| 005 | 20220113163600.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 200324s2020 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.egyr.2019.11.068 |2 doi | |
| 024 | 7 | |a 10419/243884 |2 hdl | |
| 035 | |a (DE-627)1693186942 | ||
| 035 | |a (DE-599)KXP1693186942 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 100 | 1 | |a Wu, Jia-peng |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a Study on cascade hydropower alternative schemes based on multi-objective particle swarm optimization algorithm |c Jia-peng Wu, Lai-sheng Liu, Ji-jun Gao, Qi-wen Wang |
| 264 | 1 | |c 2020 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 506 | 0 | |q DE-206 |a Open Access |e Controlled Vocabulary for Access Rights |u http://purl.org/coar/access_right/c_abf2 | |
| 520 | |a Alternative scheme is the most important section in the environmental impact assessment (EIA). And the optimization of alternative schemes are the focus research fields in EIA. This paper define the content of alternatives of basin hydropower planning EIA (HPEIA), including the alternative generation about development patterns (single high stage dam or multistage dams) and development scales (dam height, installed capacity). The multi-objective model for alternatives generating of HPEIA has been built, which aims to reduce the impacts on socio-economic development and to increase the generated energy. Objectives of the model include ecological landscape change rate, installed capacity, cultivated field inundation area, and resettlement population, and water level is the decision variable. The basic data is obtained by remote sensing images and processed in ARCGIS: (1) obtain the water level-water surface area curve based on the DEM; (2) divide the landscape patterns in submerged area; (3) decide the centralism population distribution scope and their elevation boundary in the map. Moreover, multi-objective particle swarm optimization (PSO), by which the non-inferior solution sets of the multi-objective model are made, and combining with PSO and grey relational analysis. This model is tested in the hydropower planning alternatives-generating in Hei Shanxia reach, Yellow River. The comparative analysis of the three optimal sequences was investigated. One is to get the theoretical solution which presents the highest relativity, the other is obtain the solution on the condition of maximum installed capacity, and the third is to achieve the practical solution that is consistent with the decision objectives. The results of the above analysis show that the multi-objective model of alternatives generating of HPEIA can meet the competitive principle. Application of the PSO is suggested to be a helpful tool that solve the multi-objective model. | ||
| 540 | |q DE-206 |a Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International |f CC BY-NC-ND 4.0 |2 cc |u https://creativecommons.org/licenses/by-nc-nd/4.0/ | ||
| 655 | 4 | |a Aufsatz in Zeitschrift |5 DE-206 | |
| 655 | 4 | |a Kongressbeitrag |5 DE-206 | |
| 700 | 1 | |a Liu, Lai-sheng |e VerfasserIn |4 aut | |
| 700 | 1 | |a Gao, Ji-jun |e VerfasserIn |4 aut | |
| 700 | 1 | |a Wang, Qi-wen |e VerfasserIn |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Energy reports |d Amsterdam [u.a.] : Elsevier, 2015 |g 6(2020), 2 vom: Feb., Seite 235-242 |h Online-Ressource |w (DE-627)820689033 |w (DE-600)2814795-9 |w (DE-576)427950821 |x 2352-4847 |7 nnns |
| 773 | 1 | 8 | |g volume:6 |g year:2020 |g number:2 |g month:02 |g pages:235-242 |
| 856 | 4 | 0 | |u https://www.sciencedirect.com/science/article/pii/S2352484719309412/pdfft?md5=691ae46880c7179d81deec72cdd96cb8&pid=1-s2.0-S2352484719309412-main.pdf |x Verlag |z kostenfrei |
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.egyr.2019.11.068 |x Resolving-System |z kostenfrei |
| 856 | 4 | 0 | |u http://hdl.handle.net/10419/243884 |x Resolving-System |z kostenfrei |
| 936 | u | w | |d 6 |j 2020 |e 2 |c 2 |h 235-242 |
| 951 | |a AR | ||
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.egyr.2019.11.068 |9 LFER |
| 856 | 4 | 0 | |u https://www.sciencedirect.com/science/article/pii/S2352484719309412/pdfft?md5=691ae46880c7179d81deec72cdd96cb8&pid=1-s2.0-S2352484719309412-main.pdf |9 LFER |
| 852 | |a LFER |z 2020-04-07T00:00:00Z | ||
| 970 | |c OD | ||
| 971 | |c EBOOK | ||
| 972 | |c EBOOK | ||
| 973 | |c Aufsatz | ||
| 935 | |a lfer | ||
| 980 | |a 1693186942 |b 0 |k 1693186942 |c lfer | ||
| openURL |
url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fvufind.svn.sourceforge.net%3Agenerator&rft.title=Study+on+cascade+hydropower+alternative+schemes+based+on+multi-objective+particle+swarm+optimization+algorithm&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.creator=Wu%2C+Jia-peng&rft.pub=&rft.format=Journal&rft.language=English&rft.issn=2352-4847 |
|---|
| _version_ | 1757965589756772352 |
|---|---|
| access_facet | Electronic Resources |
| access_state_str | Open Access |
| author | Wu, Jia-peng, Liu, Lai-sheng, Gao, Ji-jun, Wang, Qi-wen |
| author_facet | Wu, Jia-peng, Liu, Lai-sheng, Gao, Ji-jun, Wang, Qi-wen |
| author_role | aut, aut, aut, aut |
| author_sort | Wu, Jia-peng |
| author_variant | j p w jpw, l s l lsl, j j g jjg, q w w qww |
| callnumber-sort | |
| collection | lfer |
| container_reference | 6(2020), 2 vom: Feb., Seite 235-242 |
| container_title | Energy reports |
| contents | Alternative scheme is the most important section in the environmental impact assessment (EIA). And the optimization of alternative schemes are the focus research fields in EIA. This paper define the content of alternatives of basin hydropower planning EIA (HPEIA), including the alternative generation about development patterns (single high stage dam or multistage dams) and development scales (dam height, installed capacity). The multi-objective model for alternatives generating of HPEIA has been built, which aims to reduce the impacts on socio-economic development and to increase the generated energy. Objectives of the model include ecological landscape change rate, installed capacity, cultivated field inundation area, and resettlement population, and water level is the decision variable. The basic data is obtained by remote sensing images and processed in ARCGIS: (1) obtain the water level-water surface area curve based on the DEM; (2) divide the landscape patterns in submerged area; (3) decide the centralism population distribution scope and their elevation boundary in the map. Moreover, multi-objective particle swarm optimization (PSO), by which the non-inferior solution sets of the multi-objective model are made, and combining with PSO and grey relational analysis. This model is tested in the hydropower planning alternatives-generating in Hei Shanxia reach, Yellow River. The comparative analysis of the three optimal sequences was investigated. One is to get the theoretical solution which presents the highest relativity, the other is obtain the solution on the condition of maximum installed capacity, and the third is to achieve the practical solution that is consistent with the decision objectives. The results of the above analysis show that the multi-objective model of alternatives generating of HPEIA can meet the competitive principle. Application of the PSO is suggested to be a helpful tool that solve the multi-objective model. |
| ctrlnum | (DE-627)1693186942, (DE-599)KXP1693186942 |
| doi_str_mv | 10.1016/j.egyr.2019.11.068 |
| facet_avail | Online, Free |
| finc_class_facet | not assigned |
| format | ElectronicBookComponentPart |
| format_access_txtF_mv | Article, E-Article |
| format_de105 | Ebook |
| format_de14 | Article, E-Article |
| format_de15 | Article, E-Article |
| format_del152 | Buch |
| format_detail_txtF_mv | text-online-monograph-child |
| format_dezi4 | e-Book |
| format_finc | Article, E-Article |
| format_legacy | ElectronicBookPart |
| format_strict_txtF_mv | E-Article |
| genre | Aufsatz in Zeitschrift DE-206, Kongressbeitrag DE-206 |
| genre_facet | Aufsatz in Zeitschrift, Kongressbeitrag |
| geogr_code | not assigned |
| geogr_code_person | not assigned |
| hierarchy_parent_id | 0-820689033 |
| hierarchy_parent_title | Energy reports |
| hierarchy_sequence | 6(2020), 2 vom: Feb., Seite 235-242 |
| hierarchy_top_id | 0-820689033 |
| hierarchy_top_title | Energy reports |
| id | 0-1693186942 |
| illustrated | Not Illustrated |
| imprint | 2020 |
| imprint_str_mv | 2020 |
| institution | DE-D117, DE-105, LFER, DE-Ch1, DE-15, DE-14, DE-Zwi2 |
| is_hierarchy_id | 0-1693186942 |
| is_hierarchy_title | Study on cascade hydropower alternative schemes based on multi-objective particle swarm optimization algorithm |
| isil_str_mv | LFER |
| issn | 2352-4847 |
| kxp_id_str | 1693186942 |
| language | English |
| last_indexed | 2023-02-16T05:50:32.041Z |
| license_str_mv | https://creativecommons.org/licenses/by-nc-nd |
| marc024a_ct_mv | 10.1016/j.egyr.2019.11.068, 10419/243884 |
| match_str | wu2020studyoncascadehydropoweralternativeschemesbasedonmultiobjectiveparticleswarmoptimizationalgorithm |
| mega_collection | Verbunddaten SWB, Lizenzfreie Online-Ressourcen |
| misc_de105 | EBOOK |
| multipart_link | 427950821 |
| multipart_part | (427950821)6(2020), 2 vom: Feb., Seite 235-242 |
| publishDate | 2020 |
| publishDateSort | 2020 |
| publishPlace | |
| publisher | |
| record_format | marcfinc |
| record_id | 1693186942 |
| recordtype | marcfinc |
| rvk_facet | No subject assigned |
| source_id | 0 |
| spelling | Wu, Jia-peng VerfasserIn aut, Study on cascade hydropower alternative schemes based on multi-objective particle swarm optimization algorithm Jia-peng Wu, Lai-sheng Liu, Ji-jun Gao, Qi-wen Wang, 2020, Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, DE-206 Open Access Controlled Vocabulary for Access Rights http://purl.org/coar/access_right/c_abf2, Alternative scheme is the most important section in the environmental impact assessment (EIA). And the optimization of alternative schemes are the focus research fields in EIA. This paper define the content of alternatives of basin hydropower planning EIA (HPEIA), including the alternative generation about development patterns (single high stage dam or multistage dams) and development scales (dam height, installed capacity). The multi-objective model for alternatives generating of HPEIA has been built, which aims to reduce the impacts on socio-economic development and to increase the generated energy. Objectives of the model include ecological landscape change rate, installed capacity, cultivated field inundation area, and resettlement population, and water level is the decision variable. The basic data is obtained by remote sensing images and processed in ARCGIS: (1) obtain the water level-water surface area curve based on the DEM; (2) divide the landscape patterns in submerged area; (3) decide the centralism population distribution scope and their elevation boundary in the map. Moreover, multi-objective particle swarm optimization (PSO), by which the non-inferior solution sets of the multi-objective model are made, and combining with PSO and grey relational analysis. This model is tested in the hydropower planning alternatives-generating in Hei Shanxia reach, Yellow River. The comparative analysis of the three optimal sequences was investigated. One is to get the theoretical solution which presents the highest relativity, the other is obtain the solution on the condition of maximum installed capacity, and the third is to achieve the practical solution that is consistent with the decision objectives. The results of the above analysis show that the multi-objective model of alternatives generating of HPEIA can meet the competitive principle. Application of the PSO is suggested to be a helpful tool that solve the multi-objective model., DE-206 Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International CC BY-NC-ND 4.0 cc https://creativecommons.org/licenses/by-nc-nd/4.0/, Aufsatz in Zeitschrift DE-206, Kongressbeitrag DE-206, Liu, Lai-sheng VerfasserIn aut, Gao, Ji-jun VerfasserIn aut, Wang, Qi-wen VerfasserIn aut, Enthalten in Energy reports Amsterdam [u.a.] : Elsevier, 2015 6(2020), 2 vom: Feb., Seite 235-242 Online-Ressource (DE-627)820689033 (DE-600)2814795-9 (DE-576)427950821 2352-4847 nnns, volume:6 year:2020 number:2 month:02 pages:235-242, https://www.sciencedirect.com/science/article/pii/S2352484719309412/pdfft?md5=691ae46880c7179d81deec72cdd96cb8&pid=1-s2.0-S2352484719309412-main.pdf Verlag kostenfrei, https://doi.org/10.1016/j.egyr.2019.11.068 Resolving-System kostenfrei, http://hdl.handle.net/10419/243884 Resolving-System kostenfrei, https://doi.org/10.1016/j.egyr.2019.11.068 LFER, https://www.sciencedirect.com/science/article/pii/S2352484719309412/pdfft?md5=691ae46880c7179d81deec72cdd96cb8&pid=1-s2.0-S2352484719309412-main.pdf LFER, LFER 2020-04-07T00:00:00Z |
| spellingShingle | Wu, Jia-peng, Liu, Lai-sheng, Gao, Ji-jun, Wang, Qi-wen, Study on cascade hydropower alternative schemes based on multi-objective particle swarm optimization algorithm, Alternative scheme is the most important section in the environmental impact assessment (EIA). And the optimization of alternative schemes are the focus research fields in EIA. This paper define the content of alternatives of basin hydropower planning EIA (HPEIA), including the alternative generation about development patterns (single high stage dam or multistage dams) and development scales (dam height, installed capacity). The multi-objective model for alternatives generating of HPEIA has been built, which aims to reduce the impacts on socio-economic development and to increase the generated energy. Objectives of the model include ecological landscape change rate, installed capacity, cultivated field inundation area, and resettlement population, and water level is the decision variable. The basic data is obtained by remote sensing images and processed in ARCGIS: (1) obtain the water level-water surface area curve based on the DEM; (2) divide the landscape patterns in submerged area; (3) decide the centralism population distribution scope and their elevation boundary in the map. Moreover, multi-objective particle swarm optimization (PSO), by which the non-inferior solution sets of the multi-objective model are made, and combining with PSO and grey relational analysis. This model is tested in the hydropower planning alternatives-generating in Hei Shanxia reach, Yellow River. The comparative analysis of the three optimal sequences was investigated. One is to get the theoretical solution which presents the highest relativity, the other is obtain the solution on the condition of maximum installed capacity, and the third is to achieve the practical solution that is consistent with the decision objectives. The results of the above analysis show that the multi-objective model of alternatives generating of HPEIA can meet the competitive principle. Application of the PSO is suggested to be a helpful tool that solve the multi-objective model., Aufsatz in Zeitschrift, Kongressbeitrag |
| title | Study on cascade hydropower alternative schemes based on multi-objective particle swarm optimization algorithm |
| title_auth | Study on cascade hydropower alternative schemes based on multi-objective particle swarm optimization algorithm |
| title_full | Study on cascade hydropower alternative schemes based on multi-objective particle swarm optimization algorithm Jia-peng Wu, Lai-sheng Liu, Ji-jun Gao, Qi-wen Wang |
| title_fullStr | Study on cascade hydropower alternative schemes based on multi-objective particle swarm optimization algorithm Jia-peng Wu, Lai-sheng Liu, Ji-jun Gao, Qi-wen Wang |
| title_full_unstemmed | Study on cascade hydropower alternative schemes based on multi-objective particle swarm optimization algorithm Jia-peng Wu, Lai-sheng Liu, Ji-jun Gao, Qi-wen Wang |
| title_in_hierarchy | Study on cascade hydropower alternative schemes based on multi-objective particle swarm optimization algorithm / Jia-peng Wu, Lai-sheng Liu, Ji-jun Gao, Qi-wen Wang, |
| title_short | Study on cascade hydropower alternative schemes based on multi-objective particle swarm optimization algorithm |
| title_sort | study on cascade hydropower alternative schemes based on multi objective particle swarm optimization algorithm |
| topic | Aufsatz in Zeitschrift, Kongressbeitrag |
| topic_facet | Aufsatz in Zeitschrift, Kongressbeitrag |
| url | https://www.sciencedirect.com/science/article/pii/S2352484719309412/pdfft?md5=691ae46880c7179d81deec72cdd96cb8&pid=1-s2.0-S2352484719309412-main.pdf, https://doi.org/10.1016/j.egyr.2019.11.068, http://hdl.handle.net/10419/243884 |