{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:CKED2L43OGGJTFGZZ674ILGXH3","short_pith_number":"pith:CKED2L43","schema_version":"1.0","canonical_sha256":"12883d2f9b718c9994d9cfbfc42cd73ed734128632bb6b3e61397f294a8d2d61","source":{"kind":"arxiv","id":"2206.07887","version":1},"attestation_state":"computed","paper":{"title":"Resilient Operational Planning for Microgrids Against Extreme Events","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"eess.SY","authors_text":"Cunzhi Zhao, Jesus Silva-Rodriguez, Xingpeng Li","submitted_at":"2022-06-16T02:29:02Z","abstract_excerpt":"This paper proposes a novel resilience index, a microgrid survivability rate (SR) under extreme events, and then proposes a novel Resilient Operational Planning (ROP) algorithm to maximize the proposed resilience index SR. The proposed ROP algorithm can incorporate predetermined inverter failure probabilities and generate multiple scenarios accordingly to optimize resilient operations during an extreme event. The implemented ROP algorithm consists of two main steps: (i) optimization of resilient operational planning, and (ii) preventive resilience enhancement if minimum SR is not met per the a"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2206.07887","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2022-06-16T02:29:02Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"388ad6b077e3e352ffd015929e440d7f155e77076939d90bfb786455aab9f770","abstract_canon_sha256":"dfc5a8d937756eba02c5a209e3454bb597a24e348bad2d444bf7d2a908c35e35"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:32:19.508219Z","signature_b64":"PiJFdUBP/YRufHJQxwyl+at+WS3rKA3DLdY2MFSpKII/CCTybbNcWW+F9VrLcOvK/VJIBt/FC9ggC3LKSK+NDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"12883d2f9b718c9994d9cfbfc42cd73ed734128632bb6b3e61397f294a8d2d61","last_reissued_at":"2026-07-05T04:32:19.507736Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:32:19.507736Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Resilient Operational Planning for Microgrids Against Extreme Events","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"eess.SY","authors_text":"Cunzhi Zhao, Jesus Silva-Rodriguez, Xingpeng Li","submitted_at":"2022-06-16T02:29:02Z","abstract_excerpt":"This paper proposes a novel resilience index, a microgrid survivability rate (SR) under extreme events, and then proposes a novel Resilient Operational Planning (ROP) algorithm to maximize the proposed resilience index SR. The proposed ROP algorithm can incorporate predetermined inverter failure probabilities and generate multiple scenarios accordingly to optimize resilient operations during an extreme event. The implemented ROP algorithm consists of two main steps: (i) optimization of resilient operational planning, and (ii) preventive resilience enhancement if minimum SR is not met per the a"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2206.07887","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2206.07887/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2206.07887","created_at":"2026-07-05T04:32:19.507796+00:00"},{"alias_kind":"arxiv_version","alias_value":"2206.07887v1","created_at":"2026-07-05T04:32:19.507796+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2206.07887","created_at":"2026-07-05T04:32:19.507796+00:00"},{"alias_kind":"pith_short_12","alias_value":"CKED2L43OGGJ","created_at":"2026-07-05T04:32:19.507796+00:00"},{"alias_kind":"pith_short_16","alias_value":"CKED2L43OGGJTFGZ","created_at":"2026-07-05T04:32:19.507796+00:00"},{"alias_kind":"pith_short_8","alias_value":"CKED2L43","created_at":"2026-07-05T04:32:19.507796+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/CKED2L43OGGJTFGZZ674ILGXH3","json":"https://pith.science/pith/CKED2L43OGGJTFGZZ674ILGXH3.json","graph_json":"https://pith.science/api/pith-number/CKED2L43OGGJTFGZZ674ILGXH3/graph.json","events_json":"https://pith.science/api/pith-number/CKED2L43OGGJTFGZZ674ILGXH3/events.json","paper":"https://pith.science/paper/CKED2L43"},"agent_actions":{"view_html":"https://pith.science/pith/CKED2L43OGGJTFGZZ674ILGXH3","download_json":"https://pith.science/pith/CKED2L43OGGJTFGZZ674ILGXH3.json","view_paper":"https://pith.science/paper/CKED2L43","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2206.07887&json=true","fetch_graph":"https://pith.science/api/pith-number/CKED2L43OGGJTFGZZ674ILGXH3/graph.json","fetch_events":"https://pith.science/api/pith-number/CKED2L43OGGJTFGZZ674ILGXH3/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CKED2L43OGGJTFGZZ674ILGXH3/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CKED2L43OGGJTFGZZ674ILGXH3/action/storage_attestation","attest_author":"https://pith.science/pith/CKED2L43OGGJTFGZZ674ILGXH3/action/author_attestation","sign_citation":"https://pith.science/pith/CKED2L43OGGJTFGZZ674ILGXH3/action/citation_signature","submit_replication":"https://pith.science/pith/CKED2L43OGGJTFGZZ674ILGXH3/action/replication_record"}},"created_at":"2026-07-05T04:32:19.507796+00:00","updated_at":"2026-07-05T04:32:19.507796+00:00"}