| 引用本文: | 杨 楠,徐国彬,代 洲,等.考虑碳排放的船舶冷热电多能系统协同规划方法[J].电力系统保护与控制,2025,53(24):133-144.[点击复制] |
| YANG Nan,XU Guobin,DAI Zhou,et al.A coordinated planning method for ship multi-energy system considering carbon emissions[J].Power System Protection and Control,2025,53(24):133-144[点击复制] |
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| 考虑碳排放的船舶冷热电多能系统协同规划方法 |
| 杨楠1,徐国彬1,代洲2,何叶3,黄悦华1,鄢晶4,张磊1,王灿1 |
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| (1.梯级水电站运行与控制湖北省重点实验室(三峡大学), 湖北 宜昌 443002;2.贵州财经大学管理科学与
工程学院，贵州 贵阳 550025;3.国网湖南省电力有限公司邵阳供电公司，湖南 邵阳 422000;
4.国网湖北省经济技术研究院有限公司, 湖北 武汉 430000) |
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| 摘要: |
| 随着邮轮旅游业的日益繁荣，船舶冷热电多能系统(ship multi-energy system, SMES)的规划问题已成为实现其绿色发展的关键挑战之一。对此，提出了一种考虑碳排放的SMES联合规划方法。首先构建了以交直流混合船舶电力系统为核心，以能源转化设备为枢纽的SMES系统模型，并实现了对船舶的动力系统与航行之间关系的精细化描述。其次，在考虑船用设备的各项运营成本模型以及相关约束条件的前提下，建立了考虑碳排放的SMES规划双层优化模型。上层以总成本最小为目标函数，下层以总运维成本最小和碳排放量最低为目标函数。最后通过CPLEX对模型进行求解。仿真结果验证了所提方法的合理性和优越性。 |
| 关键词: 船舶冷热电多能系统 联合规划 船舶动力系统 双层优化 |
| DOI：10.19783/j.cnki.pspc.241754 |
| 投稿时间：2024-12-28修订日期：2025-04-22 |
| 基金项目:国家自然科学基金项目资助(62233006)“区域能源互联网的分布式协同控制与智能决策” |
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| A coordinated planning method for ship multi-energy system considering carbon emissions |
| YANG Nan1,XU Guobin1,DAI Zhou2,HE Ye3,HUANG Yuehua1,YAN Jing4,ZHANG Lei1,WANG Can1 |
| (1. Hubei Provincial Key Laboratory for Operation and Control of Cascaded Hydropower Station, China Three Gorges
University, Yichang 443002, China; 2. School of Management Science and Engineering, Guizhou University of
Finance and Economics, Guiyang 550025, China; 3. Shaoyang Power Supply Company, State Grid Hunan
Electric Power Co., Ltd., Shaoyang 422000, China; 4. State Grid Hubei Electric Power Co., Ltd.
Economic and Technical Research Institute, Wuhan 430000, China) |
| Abstract: |
| With the rapid growth of the cruise industry, planning ship multi-energy systems (SMES), which integrate cooling, heating, and power, has become one of the key challenges for achieving green development. To address this issue, a coordinated SMES planning method that considers carbon emissions is proposed. First, a SMES system model is constructed with a hybrid AC/DC ship power system as the core and energy conversion devices as the hubs, enabling a detailed representation of the relationship between the ship’s propulsion system and its navigation conditions. Second, considering the operational cost models of various marine equipment and relevant constraints, a bi-level optimization model for SMES planning is developed, incorporating carbon emissions. The upper level aims to minimize the total cost, while the lower level seeks to minimize both the total operational and maintenance costs and carbon emissions. Finally, the proposed model is solved using CPLEX. Simulation results validate the rationality and superiority of the proposed method. |
| Key words: ship multi-energy system coordinated planning ship propulsion system bi-level optimization |
