{"created":"2021-03-01T05:59:02.455700+00:00","id":6604,"links":{},"metadata":{"_buckets":{"deposit":"c24a7796-6ccd-46c4-973d-e4390bdedec9"},"_deposit":{"id":"6604","owners":[],"pid":{"revision_id":0,"type":"depid","value":"6604"},"status":"published"},"_oai":{"id":"oai:kitami-it.repo.nii.ac.jp:00006604","sets":["7:15:39"]},"item_2_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"1987-03","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicPageEnd":"179","bibliographicPageStart":"173","bibliographicVolumeNumber":"18","bibliographic_titles":[{"bibliographic_title":"北見工業大学研究報告"}]}]},"item_2_description_14":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_2_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"We previously described a fast scheduling method to consider every line capacity and emission constraint when each line and thermal unit fail probabilistically. The method is ａn approximate one because only two thermal units control the output power to satisfy the lines capacity and only a healthy state controls the emission excepting faulty states. The usefulness of the method is confirmed by comparing it with a strict method. The strict schedule is estimated by the quadratic programming method. This report describes the outlines of both the proposed method and the quadratic programming method. Both methods are applied to a model system and the results are shown concretely. It is also shown that the proposed method is useful because the maximum error is less than 2[％], and the computing time of the proposed method is more than 420 times as fast as the quadratic programming method when the emission constraint is not considered and 1600 times as fast when it is considered.","subitem_description_type":"Abstract"}]},"item_2_publisher_32":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"北見工業大学"}]},"item_2_select_15":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_select_item":"publisher"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Yoichi, NAKAMURA"}],"nameIdentifiers":[{"nameIdentifier":"33232","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"Susumu, YAMASHIRO"}],"nameIdentifiers":[{"nameIdentifier":"33233","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2016-11-22"}],"displaytype":"detail","filename":"18-2-4.pdf","filesize":[{"value":"2.8 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"18-2-4.pdf","url":"https://kitami-it.repo.nii.ac.jp/record/6604/files/18-2-4.pdf"},"version_id":"5846b1bc-6a0c-4090-b5cf-75d5115ba2c1"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Probabilistic Operation of Electric Power Systems Considering Environmental Constraint (Part 10)* -Comparsion with Quadratic Programming Method-","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Probabilistic Operation of Electric Power Systems Considering Environmental Constraint (Part 10)* -Comparsion with Quadratic Programming Method-"}]},"item_type_id":"2","owner":"1","path":["39"],"pubdate":{"attribute_name":"公開日","attribute_value":"2007-04-09"},"publish_date":"2007-04-09","publish_status":"0","recid":"6604","relation_version_is_last":true,"title":["Probabilistic Operation of Electric Power Systems Considering Environmental Constraint (Part 10)* -Comparsion with Quadratic Programming Method-"],"weko_creator_id":"1","weko_shared_id":3},"updated":"2022-12-13T02:19:55.876325+00:00"}