{"id":"https://openalex.org/W7204969366","doi":"https://doi.org/10.1145/3813822.3813985","title":"Wind-Solar-Hydro Storage Joint Operation Strategy Based on Improved Immune Particle Swarm Optimization Algorithm","display_name":"Wind-Solar-Hydro Storage Joint Operation Strategy Based on Improved Immune Particle Swarm Optimization Algorithm","publication_year":2026,"publication_date":"2026-03-20","ids":{"openalex":"https://openalex.org/W7204969366","doi":"https://doi.org/10.1145/3813822.3813985"},"language":"en","primary_location":{"id":"doi:10.1145/3813822.3813985","doi":"https://doi.org/10.1145/3813822.3813985","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3813822.3813985","pdf_url":null,"source":{"id":"https://openalex.org/S4306498704","display_name":"International Conference on Computer Information and Big Data Applications (CIBDA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 7th International Conference on Computer Information and Big Data Applications","raw_type":"proceedings-article"},"parent_works":[],"lineage":["https://openalex.org/W7204969366"],"child_works_count":0,"type":"conference-paper","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3813822.3813985","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5108690791","display_name":"Li Wen","orcid":"https://orcid.org/0009-0002-4689-2238","observed_orcids":["https://orcid.org/0009-0002-4689-2238"]},"institutions":[{"id":"https://openalex.org/I4210105877","display_name":"Wuhan Donghu University","ror":"https://ror.org/017swdq34","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210105877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wen Li","raw_affiliation_strings":["WuHan Donghu University, Wuhan, Hubei, China"],"raw_orcid":"https://orcid.org/0009-0002-4689-2238","affiliations":[{"raw_affiliation_string":"WuHan Donghu University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I4210105877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5108690791"],"corresponding_institution_ids":["https://openalex.org/I4210105877"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1001","last_page":"1005"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10424","display_name":"Electric Power System Optimization","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10424","display_name":"Electric Power System Optimization","score":0.9955999851226807,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11185","display_name":"Integrated Energy Systems Optimization","score":0.0027000000700354576,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14444","display_name":"Power Systems and Renewable Energy","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/2102","display_name":"Energy Engineering and Power Technology"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/energy-storage-scheduling","display_name":"energy storage scheduling","score":0.652999997138977},{"id":"https://openalex.org/keywords/immune-particle-swarm-optimization","display_name":"immune particle swarm optimization","score":0.8339999914169312},{"id":"https://openalex.org/keywords/inertia-weight-adjustment","display_name":"inertia weight adjustment","score":0.9049999713897705},{"id":"https://openalex.org/keywords/penalty-function","display_name":"penalty method","score":0.6150000095367432},{"id":"https://openalex.org/keywords/wind-and-solar-curtailment","display_name":"wind and solar curtailment","score":0.9079999923706055},{"id":"https://openalex.org/keywords/new-energy-grid-integration","display_name":"new energy grid integration","score":0.8029999732971191},{"id":"https://openalex.org/keywords/grid-stability","display_name":"grid stability","score":0.7310000061988831},{"id":"https://openalex.org/keywords/hubei","display_name":"Hubei Province","score":0.7689999938011169}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7523999810218811},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6191999912261963},{"id":"https://openalex.org/C122357587","wikidata":"https://www.wikidata.org/wiki/Q6934508","display_name":"Multi-swarm optimization","level":3,"score":0.6128000020980835},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5293999910354614},{"id":"https://openalex.org/C110407247","wikidata":"https://www.wikidata.org/wiki/Q122508","display_name":"Inertia","level":2,"score":0.49889999628067017},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.46639999747276306},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.45980000495910645},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.43529999256134033},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.37119999527931213},{"id":"https://openalex.org/C78600449","wikidata":"https://www.wikidata.org/wiki/Q43302","display_name":"Wind power","level":2,"score":0.3693000078201294},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.3621000051498413},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.35910001397132874},{"id":"https://openalex.org/C2983254600","wikidata":"https://www.wikidata.org/wiki/Q1096907","display_name":"Power grid","level":3,"score":0.3555999994277954},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.3528999984264374},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.3278999924659729},{"id":"https://openalex.org/C6180225","wikidata":"https://www.wikidata.org/wiki/Q3411771","display_name":"Penalty method","level":2,"score":0.2992999851703644},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2985000014305115},{"id":"https://openalex.org/C4935549","wikidata":"https://www.wikidata.org/wiki/Q6822261","display_name":"Meta-optimization","level":3,"score":0.28690001368522644},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.2833000123500824},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.2797999978065491},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.2732999920845032},{"id":"https://openalex.org/C28767586","wikidata":"https://www.wikidata.org/wiki/Q7135006","display_name":"Parallel metaheuristic","level":4,"score":0.267300009727478},{"id":"https://openalex.org/C423512","wikidata":"https://www.wikidata.org/wiki/Q383973","display_name":"Electricity generation","level":3,"score":0.2644999921321869},{"id":"https://openalex.org/C29282572","wikidata":"https://www.wikidata.org/wiki/Q16977029","display_name":"Derivative-free optimization","level":4,"score":0.26159998774528503},{"id":"https://openalex.org/C544738498","wikidata":"https://www.wikidata.org/wiki/Q861135","display_name":"Distributed generation","level":3,"score":0.260699987411499},{"id":"https://openalex.org/C62469222","wikidata":"https://www.wikidata.org/wiki/Q17092103","display_name":"Hybrid algorithm (constraint satisfaction)","level":5,"score":0.2581999897956848}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3813822.3813985","doi":"https://doi.org/10.1145/3813822.3813985","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3813822.3813985","pdf_url":null,"source":{"id":"https://openalex.org/S4306498704","display_name":"International Conference on Computer Information and Big Data Applications (CIBDA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 7th International Conference on Computer Information and Big Data Applications","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3813822.3813985","doi":"https://doi.org/10.1145/3813822.3813985","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3813822.3813985","pdf_url":null,"source":{"id":"https://openalex.org/S4306498704","display_name":"International Conference on Computer Information and Big Data Applications (CIBDA)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2026 7th International Conference on Computer Information and Big Data Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.9995999932289124},{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.6773999929428101},{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.5351999998092651}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2625646018","https://openalex.org/W2997872442","https://openalex.org/W4308437135","https://openalex.org/W4403289357","https://openalex.org/W4411301922","https://openalex.org/W4411553886","https://openalex.org/W4413046266","https://openalex.org/W4414413953","https://openalex.org/W4414418122"],"related_works":["https://openalex.org/W7154172490","https://openalex.org/W2908344041","https://openalex.org/W7166837246","https://openalex.org/W2360055546","https://openalex.org/W2268481975","https://openalex.org/W7162878912","https://openalex.org/W4394603403","https://openalex.org/W7130413800","https://openalex.org/W7172328304","https://openalex.org/W4402218994"],"abstract_inverted_index":{"Based":[0],"on":[1,67],"the":[2,11,50,60,103,109,121,129,159,169],"resource":[3],"characteristics":[4],"of":[5,15,53,62,108,161,171],"Hubei":[6],"Province,":[7],"this":[8],"study":[9],"explores":[10],"application":[12],"and":[13,27,42,58,85,105,114,136,151,163,177],"impact":[14,61],"scheduling":[16,90],"optimization":[17,35,78,91,144],"control":[18],"strategies":[19],"for":[20,92],"new":[21,63,93,184],"power":[22,55,94],"systems":[23,57],"incorporating":[24,37,80,146],"hydro,":[25],"wind,":[26],"solar":[28,164],"energy.":[29],"A":[30],"dynamic":[31,74,140],"immune":[32,75,115,141],"particle":[33,76,111,116,142],"swarm":[34,77,112,117,143],"algorithm":[36,79,106,113,145,185],"dynamically":[38,81,147],"adjusted":[39,82,148],"learning":[40,83,149],"coefficients":[41,84,150],"inertia":[43,86,152],"weights":[44,87,153],"is":[45,100,154,175],"proposed,":[46],"aiming":[47],"to":[48,88,102,131,133,157,181],"enhance":[49],"economic":[51],"benefits":[52],"combined":[54,178],"generation":[56],"mitigate":[59],"energy":[64],"grid":[65,68,167],"integration":[66],"stability.":[69],"This":[70],"paper":[71],"introduces":[72],"a":[73,97,139,172,183],"achieve":[89],"systems.":[95],"Firstly,":[96],"brief":[98],"introduction":[99],"given":[101],"definitions":[104],"processes":[107],"basic":[110],"algorithm.":[118],"Secondly,":[119],"addressing":[120],"issues":[122],"faced":[123],"by":[124],"both":[125],"algorithms,":[126],"such":[127],"as":[128],"tendency":[130],"converge":[132],"suboptimal":[134],"solutions":[135],"slow":[137],"convergence,":[138],"proposed.":[155],"Finally,":[156],"address":[158],"shortcomings":[160],"wind":[162],"curtailment":[165],"during":[166],"integration,":[168],"concept":[170],"penalty":[173],"function":[174],"introduced":[176],"with":[179],"CIPSO":[180],"propose":[182],"process.":[186]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-09-02T00:00:00"}