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By introducing offshore wind power generation, the carbon emissions of offshore micro integrated energy systems can be effectively reduced; however, greater challenges have been posted to the reliable operation due to the uncertainty. To reduce the influence brought by the uncertainty, a multiobjective optimization model was proposed based on the chance-constrained programming (CCP); the operating cost and penalty cost of natural gas emission were selected as objectives. Then, the improved hybrid constraints handling strategy based on nondominated sorting genetic algorithm II (IHCHS-NSGAII) was introduced to solve the model efficiently. Finally, the numerical studies verified the efficiency of the proposed algorithm, as well as the validity and feasibility of the proposed model in improving the economy of OMIES under uncertainty.<\/jats:p>","DOI":"10.1155\/2020\/8820332","type":"journal-article","created":{"date-parts":[[2020,12,25]],"date-time":"2020-12-25T01:51:44Z","timestamp":1608861104000},"page":"1-13","source":"Crossref","is-referenced-by-count":1,"title":["Study on Multiobjective Modeling and Optimization of Offshore Micro Integrated Energy System considering Uncertainty of Load and Wind Power"],"prefix":"10.1155","volume":"2020","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9258-0748","authenticated-orcid":true,"given":"Jun","family":"Wu","sequence":"first","affiliation":[{"name":"School of Electrical Engineering & Automation, Wuhan University, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2986-1421","authenticated-orcid":true,"given":"Baolin","family":"Li","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering & Automation, Wuhan University, Wuhan, China"}]},{"given":"Jun","family":"Chen","sequence":"additional","affiliation":[{"name":"Research Institute Nanjing NARI-Relays Engineering Technology Co., Ltd., Nanjing, China"}]},{"given":"Qinghui","family":"Lou","sequence":"additional","affiliation":[{"name":"Research Institute Nanjing NARI-Relays Engineering Technology Co., Ltd., Nanjing, China"}]},{"given":"Xiangyu","family":"Xing","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering & Automation, Wuhan University, Wuhan, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6011-6636","authenticated-orcid":true,"given":"Xuedong","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Electrical Engineering & Automation, Wuhan University, Wuhan, China"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1016\/j.renene.2018.12.073"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2017.06.036"},{"volume-title":"The World Ocean Review-Marine Resources Opportunities and Risks","author":"Maribus gGmbH","key":"3"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.3389\/fmars.2019.00548"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1109\/access.2020.2989508"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1155\/2013\/607165"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1016\/j.enconman.2019.02.050"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.4031\/mtsj.48.2.5"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1109\/access.2020.3013396"},{"key":"10","doi-asserted-by":"publisher","DOI":"10.1007\/s40565-019-0519-4"},{"article-title":"Model predictive energy management for sustainable off-shore oil and gas platforms","author":"L. 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