{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,12]],"date-time":"2026-08-12T10:27:12Z","timestamp":1786530432248,"version":"build-2736575974"},"reference-count":0,"publisher":"European Alliance for Innovation n.o.","license":[{"start":{"date-parts":[[2026,8,12]],"date-time":"2026-08-12T00:00:00Z","timestamp":1786492800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-sa\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["EAI Endorsed Trans Energy Web"],"abstract":"<jats:p>INTRODUCTION: Wind power variability challenges system regulation as renewables expand. Hydrogen storage provides long-term balancing.\r\nOBJECTIVES: To optimize the operation and configuration of a wind-storage-hydrogen-gas turbine system.\r\nMETHODS: An Improved Honey Badger Algorithm (IHBA) with chaotic mapping and nonlinear parameters was combined with Mixed-Integer Programming (MIP) in a bi-level framework.\r\nRESULTS: Using real data from Eastern Inner Mongolia, IHBA achieved a fitness of 0.424, outperforming PSO, GA and original HBA by 20.3%, 14.9% and 8.0%. The optimal system included 47.9 MW wind, 94.3 MWh battery, 23.8 MW electrolyzer, 38.9 t H\u2082 storage, 13.7 MW fuel cell and 7.1 MW H\u2082-blended turbine, at a minimal cost of 4.57\u00d710\u2078 CNY. Annual H\u2082 output reached 68,900 Nm\u00b3, storage level 0.2-0.8, LCOE 0.438 CNY\/kWh and payback period 18.4 years. Additionally, comparisons across multiple energy sources, sensitivity and robustness analyses, and ablation experiments indicate that the system configuration is stable and the algorithm optimization performs reliably, providing a solid reference for design.\r\nCONCLUSION: The IHBA-MIP framework is efficient and cost-effective for power-hydrogen system design, aiding large-scale renewable integration.<\/jats:p>","DOI":"10.4108\/ew.14130","type":"journal-article","created":{"date-parts":[[2026,8,12]],"date-time":"2026-08-12T09:28:23Z","timestamp":1786526903000},"source":"Crossref","is-referenced-by-count":0,"title":["Power\u2013hydrogen system configuration integrating an improved Honey Badger Algorithm and mixed-integer programming"],"prefix":"10.4108","volume":"13","author":[{"given":"Mingyuan","family":"Lai","sequence":"first","affiliation":[{"name":"Guangxi Power Grid Co., Ltd., China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dandan","family":"Li","sequence":"additional","affiliation":[{"name":"Guangxi Power Grid Co., Ltd., China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Guoxian","family":"Luo","sequence":"additional","affiliation":[{"name":"Baise Power Supply Bureau, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jieren","family":"Tan","sequence":"additional","affiliation":[{"name":"China Energy Engineering Group Guangdong Electric Power Design Institute Co., Ltd., China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2587","published-online":{"date-parts":[[2026,8,12]]},"container-title":["EAI Endorsed Transactions on Energy Web"],"original-title":[],"link":[{"URL":"https:\/\/publications.eai.eu\/index.php\/ew\/article\/download\/14130\/4208","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/publications.eai.eu\/index.php\/ew\/article\/download\/14130\/4208","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,12]],"date-time":"2026-08-12T09:28:23Z","timestamp":1786526903000},"score":1,"resource":{"primary":{"URL":"https:\/\/publications.eai.eu\/index.php\/ew\/article\/view\/14130"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,8,12]]},"references-count":0,"URL":"https:\/\/doi.org\/10.4108\/ew.14130","relation":{},"ISSN":["2032-944X"],"issn-type":[{"value":"2032-944X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,8,12]]}}}