基于偏好知识的多目标优化算法求解计及电源侧的配电网故障恢复
针对传统故障恢复在处理电源侧问题上的不足,基于变电站主变在实际运行时要尽量满足N-1准则的要求,提出了变压器越限个数和变压器平均负载率两个目标函数。在求解故障恢复的算法上,针对基于传统占优机制的经典多目标智能算法在迭代过程中没有考虑决策者的偏好知识,从而导致算法收敛缓慢和无法得到最优解的问题,将g占优机制和TOPSIS方法引入多目标智能算法。g占优机制中的参考点可以根据故障恢复问题的特殊要求进行灵活设计,TOPSIS方法可将决策者的偏好知识融入算法的迭代过程中。这些措施可以有效地提高解的质量和算法的收敛性能。最后,通过算例验证了该算法的可行性和有效性。...
Saved in:
| Published in: | 电力系统保护与控制 Vol. 44; no. 4; pp. 1 - 8 |
|---|---|
| Main Author: | |
| Format: | Journal Article |
| Language: | Chinese |
| Published: |
新能源电力系统国家重点实验室 华北电力大学,北京,102206%沈阳供电公司,辽宁 沈阳,110811
2016
|
| Subjects: | |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | 针对传统故障恢复在处理电源侧问题上的不足,基于变电站主变在实际运行时要尽量满足N-1准则的要求,提出了变压器越限个数和变压器平均负载率两个目标函数。在求解故障恢复的算法上,针对基于传统占优机制的经典多目标智能算法在迭代过程中没有考虑决策者的偏好知识,从而导致算法收敛缓慢和无法得到最优解的问题,将g占优机制和TOPSIS方法引入多目标智能算法。g占优机制中的参考点可以根据故障恢复问题的特殊要求进行灵活设计,TOPSIS方法可将决策者的偏好知识融入算法的迭代过程中。这些措施可以有效地提高解的质量和算法的收敛性能。最后,通过算例验证了该算法的可行性和有效性。 |
|---|---|
| AbstractList | 针对传统故障恢复在处理电源侧问题上的不足,基于变电站主变在实际运行时要尽量满足N-1准则的要求,提出了变压器越限个数和变压器平均负载率两个目标函数。在求解故障恢复的算法上,针对基于传统占优机制的经典多目标智能算法在迭代过程中没有考虑决策者的偏好知识,从而导致算法收敛缓慢和无法得到最优解的问题,将g占优机制和TOPSIS方法引入多目标智能算法。g占优机制中的参考点可以根据故障恢复问题的特殊要求进行灵活设计,TOPSIS方法可将决策者的偏好知识融入算法的迭代过程中。这些措施可以有效地提高解的质量和算法的收敛性能。最后,通过算例验证了该算法的可行性和有效性。 针对传统故障恢复在处理电源侧问题上的不足，基于变电站主变在实际运行时要尽量满足N-1准则的要求，提出了变压器越限个数和变压器平均负载率两个目标函数。在求解故障恢复的算法上，针对基于传统占优机制的经典多目标智能算法在迭代过程中没有考虑决策者的偏好知识，从而导致算法收敛缓慢和无法得到最优解的问题，将g占优机制和TOPSIS 方法引入多目标智能算法。g占优机制中的参考点可以根据故障恢复问题的特殊要求进行灵活设计，TOPSIS 方法可将决策者的偏好知识融入算法的迭代过程中。这些措施可以有效地提高解的质量和算法的收敛性能。最后，通过算例验证了该算法的可行性和有效性。 |
| Abstract_FL | Traditional distribution network service restoration cannot completely satisfy the requirements ofN-1 security verification of transformer in station, and the corresponding mathematical model is constructed. Without considering the preference of decision maker in the iterative process, the classic multi-objective evolutionary algorithm, based on Pareto dominance criteria and crowding distance sorting method, is of slow convergence speed. This paper proposes a multi-objective binary particle swarm optimization based on g dominance and technique for order preference by similarity to an ideal solution (TOPSIS) to solve distribution network service restoration. The reference point of g dominance can design flexibly according to the requirements of service restoration, and TOPSIS makes the preference of decision maker into the iteration. These improved measures are of great significance on improving the quality of solution and enhancing convergence velocity. Finally, an example is illustrated to verify feasibility and validity of the proposed method. |
| Author | 姚玉海 王增平 张首魁 郭昆亚 金鹏 齐郑 |
| AuthorAffiliation | 新能源电力系统国家重点实验室（华北电力大学）,北京102206 沈阳供电公司,辽宁沈阳110811 |
| AuthorAffiliation_xml | – name: 新能源电力系统国家重点实验室 华北电力大学,北京,102206%沈阳供电公司,辽宁 沈阳,110811 |
| Author_FL | YAO Yuhai GUO Kunya ZHANG Shoukui WANG Zengping QI Zheng JIN Peng |
| Author_FL_xml | – sequence: 1 fullname: YAO Yuhai – sequence: 2 fullname: WANG Zengping – sequence: 3 fullname: ZHANG Shoukui – sequence: 4 fullname: GUO Kunya – sequence: 5 fullname: JIN Peng – sequence: 6 fullname: QI Zheng |
| Author_xml | – sequence: 1 fullname: 姚玉海 王增平 张首魁 郭昆亚 金鹏 齐郑 |
| BookMark | eNot0EtLAlEYBuCzMMjMTT8h2k6d-zkuQ7qBkJDQUmbOzJhSYyoRLY0siMyCrLDALoo7I6KNZL_GM6P_ogFbfbzw8L7wzYGIV_QcABYQXBaci5X0TjqJGOQMRUAUcUENQhGbBfFKJW9BSBBjXCaiYFe3B6PBta42dHcYtLvjj_OgdaY7reCp779cjH4e9dV90H_wv5r-5-m49z7uv-rGZXD37Q9uRr-9EE9q9TAGw1u_WZu0nv3qm-7U58GMa-5XnPj_jYHM-lomuWmktje2kqspQzGODOESN8ExEgpKbEEpbUdghi0koS2ZsixbMUdaxFQ2IwklCRWSc4mlQ6jtYEliYGlae2x6runlsoXiUdkLB7MFu4Qh4pBCiEK2OGVqr-jlSvkQHpbzB2b5JBs-S0gkKSV_NnJ7sA |
| ContentType | Journal Article |
| Copyright | Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
| Copyright_xml | – notice: Copyright © Wanfang Data Co. Ltd. All Rights Reserved. |
| DBID | 2RA 92L CQIGP W92 ~WA 2B. 4A8 92I 93N PSX TCJ |
| DOI | 10.7667/PSPC150651 |
| DatabaseName | 维普_期刊 中文科技期刊数据库-CALIS站点 维普中文期刊数据库 中文科技期刊数据库-工程技术 中文科技期刊数据库- 镜像站点 Wanfang Data Journals - Hong Kong WANFANG Data Centre Wanfang Data Journals 万方数据期刊 - 香港版 China Online Journals (COJ) China Online Journals (COJ) |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| DocumentTitleAlternate | Multi-objective optimization algorithm based on decision preferences to solve distribution network service restoration considering power supply |
| DocumentTitle_FL | Multi-objective optimization algorithm based on decision preferences to solve distribution network service restoration considering power supply |
| EndPage | 8 |
| ExternalDocumentID | jdq201604001 667781844 |
| GrantInformation_xml | – fundername: 国家电网公司科技项目资助 funderid: (合同号沈阳供电公司信息化工作办公室KJ[2013]896) |
| GroupedDBID | -03 2RA 5XA 5XD 92L ALMA_UNASSIGNED_HOLDINGS CCEZO CEKLB CQIGP GROUPED_DOAJ U1G W92 ~WA 2B. 4A8 92I 93N PSX TCJ |
| ID | FETCH-LOGICAL-c561-7f3f96217c082b088de7252b180d85cbbdc5e8b3acd539c8347866828e34de283 |
| ISSN | 1674-3415 |
| IngestDate | Wed Nov 06 04:33:25 EST 2024 Wed Feb 14 10:24:56 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 4 |
| Keywords | service restoration g dominance TOPSIS方法 故障恢复 distribution network 配电网 g占优机制 TOPSIS |
| Language | Chinese |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c561-7f3f96217c082b088de7252b180d85cbbdc5e8b3acd539c8347866828e34de283 |
| Notes | YAO Yuhai, WANG Zengping, ZHANG Shoukui, GUO Kunya, JIN Peng, QI Zheng （1. State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing 102206, China; 2. Shenyang Power Supply Company, Shenyang 110811, China） Traditional distribution network service restoration cannot completely satisfy the requirements of N-1 security verification of transformer in station, and the corresponding mathematical model is constructed. Without considering the preference of decision maker in the iterative process, the classic multi-objective evolutionary algorithm, based on Pareto dominance criteria and crowding distance sorting method, is of slow convergence speed. This paper proposes a multi-objective binary particle swarm optimization based on g dominance and technique for order preference by similarity to an ideal solution （TOPSIS） to solve distribution network service restoration. The reference point ofg dominance can design flexibly according to the re |
| PageCount | 8 |
| ParticipantIDs | wanfang_journals_jdq201604001 chongqing_primary_667781844 |
| PublicationCentury | 2000 |
| PublicationDate | 2016 |
| PublicationDateYYYYMMDD | 2016-01-01 |
| PublicationDate_xml | – year: 2016 text: 2016 |
| PublicationDecade | 2010 |
| PublicationTitle | 电力系统保护与控制 |
| PublicationTitleAlternate | Relay |
| PublicationYear | 2016 |
| Publisher | 新能源电力系统国家重点实验室 华北电力大学,北京,102206%沈阳供电公司,辽宁 沈阳,110811 |
| Publisher_xml | – name: 新能源电力系统国家重点实验室 华北电力大学,北京,102206%沈阳供电公司,辽宁 沈阳,110811 |
| SSID | ssib003155689 ssib017479473 ssib023166999 ssj0002912115 ssib051374514 ssib002424069 ssib036435463 |
| Score | 2.1436775 |
| Snippet | ... |
| SourceID | wanfang chongqing |
| SourceType | Aggregation Database Publisher |
| StartPage | 1 |
| SubjectTerms | g占优机制 TOPSIS方法 故障恢复 配电网 |
| Title | 基于偏好知识的多目标优化算法求解计及电源侧的配电网故障恢复 |
| URI | http://lib.cqvip.com/qk/90494A/201604/667781844.html https://d.wanfangdata.com.cn/periodical/jdq201604001 |
| Volume | 44 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| link | http://sdu.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3NTxQxFJ8AXrwYjRoRMRzsiUzcmXam7bGzMxtOhgQSvW12PhbiYRGRizeMaGJENBE1aIIfEG4YY7wQ8a9hd-G_8L122K2RRDxwmbx9_fX1fXQ7r83MG8e5wXzcEmbU5TmnLqySvtvIadMNTXnxVNIUj7InpvitOyJOWDIwdPRhkj7vVCMNPIg1vjn7H9HuCQUG0BBzuELU4XqiuJMkILJGIkUShleRIEd4RNSQUAGJYpJwxACdCKJqRISaA2CmMQxp5EREQfeQqAoRXAusEim0QCB0LwBIjpiIEhloAsbytWRopZpIiPJ0LxjLSAZRBqyIrGjJCeL7akgiAB9bYI6aSw97wUDQChgAyypywEDll8qL2E65LQkBjg5GoShKIkNE6ApUoEZkrEUpFIIcob0X4hV1g-6CRL2jTD0aL10FECG1QeBg3oeYlkhjfSJ1MCIJw9tSwKvgYTBHhdqrQMREeH0IOIMiD00XOlw6tlLZhzbmbVL9B9NA0KWC3oeuUWz5-iTuCJCPvQIMXqR1ghlg4gHRBRNME1oE6iqcEIaj2LgWHR9NvaqeIH-PqmNl_Aqmgel-1cJrA1UVmHhaUIFWM198DAJGXqDSZuIYG_ryA-xophvEEMUKhPXsEd74MbJgJA9SV8-6T4ecuZCABdYSxaz7sGcndMdlCjwM8VmFyanJKtbYLIse_1l5_W4-j7HD25w36Jzx4VbmW4c2ZYKLr45bd0is6Nf7DZunMJT9DT-F_N_-_kTgUc6C8jkGzB19iSUX8bnrnoWmpjLqe7OvLVaCmZ1rzcxDfqtfN2w1G60ZKzOePu-cK7e0Y8qsRRecgYezF53b7Y3d_d0X7aXV9tZed2Pr4OuT7vrj9uZ69_1O5-PT_Z_v2s_fdHfedr6vdb49Otj-crDzqb36rPv6R2f35f6vbQAfLq_Az-7eq87a8uH6h87S5_bmyiVnupZMVyfc8iMubgZbM5c3aVOGvsczWPtTSGnygvuBn3qikosgS9M8CwqR0kaWB1RmgjIuwlD4oqAsL2Dvc9kZas21iivOWCUrmlmRB420WbCcpQ1IVbIG5A-0gF2NqAw7Iz2f1O-ZWj31EAtkeoKxYWe09FK9XK0X6naAr_6jfcQ5i7Q5fb3mDD24v1iMOoML-eJ1PSV-A51a5rk |
| link.rule.ids | 315,782,786,866,4028,27932,27933,27934 |
| linkProvider | Directory of Open Access Journals |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=%E5%9F%BA%E4%BA%8E%E5%81%8F%E5%A5%BD%E7%9F%A5%E8%AF%86%E7%9A%84%E5%A4%9A%E7%9B%AE%E6%A0%87%E4%BC%98%E5%8C%96%E7%AE%97%E6%B3%95%E6%B1%82%E8%A7%A3%E8%AE%A1%E5%8F%8A%E7%94%B5%E6%BA%90%E4%BE%A7%E7%9A%84%E9%85%8D%E7%94%B5%E7%BD%91%E6%95%85%E9%9A%9C%E6%81%A2%E5%A4%8D&rft.jtitle=%E7%94%B5%E5%8A%9B%E7%B3%BB%E7%BB%9F%E4%BF%9D%E6%8A%A4%E4%B8%8E%E6%8E%A7%E5%88%B6&rft.au=%E5%A7%9A%E7%8E%89%E6%B5%B7&rft.au=%E7%8E%8B%E5%A2%9E%E5%B9%B3&rft.au=%E5%BC%A0%E9%A6%96%E9%AD%81&rft.au=%E9%83%AD%E6%98%86%E4%BA%9A&rft.date=2016&rft.pub=%E6%96%B0%E8%83%BD%E6%BA%90%E7%94%B5%E5%8A%9B%E7%B3%BB%E7%BB%9F%E5%9B%BD%E5%AE%B6%E9%87%8D%E7%82%B9%E5%AE%9E%E9%AA%8C%E5%AE%A4+%E5%8D%8E%E5%8C%97%E7%94%B5%E5%8A%9B%E5%A4%A7%E5%AD%A6%2C%E5%8C%97%E4%BA%AC%2C102206%25%E6%B2%88%E9%98%B3%E4%BE%9B%E7%94%B5%E5%85%AC%E5%8F%B8%2C%E8%BE%BD%E5%AE%81+%E6%B2%88%E9%98%B3%2C110811&rft.issn=1674-3415&rft.issue=4&rft.spage=1&rft.epage=8&rft_id=info:doi/10.7667%2FPSPC150651&rft.externalDocID=jdq201604001 |
| thumbnail_s | http://sdu.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fimage.cqvip.com%2Fvip1000%2Fqk%2F90494A%2F90494A.jpg http://sdu.summon.serialssolutions.com/2.0.0/image/custom?url=http%3A%2F%2Fwww.wanfangdata.com.cn%2Fimages%2FPeriodicalImages%2Fjdq%2Fjdq.jpg |