| 微能源网多能源耦合枢纽的模型搭建与优化 |
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| 引用本文： | 刘方泽,牟龙华,张涛,朱彤.微能源网多能源耦合枢纽的模型搭建与优化[J].电力系统自动化,2018,42(14):91-98. |
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| 作者姓名： | 刘方泽 牟龙华 张涛 朱彤 |
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| 作者单位： | 同济大学电子与信息工程学院;同济大学机械与能源工程学院 |
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| 基金项目： | 国家重点基础研究发展计划(973计划)资助项目(2014CB249201) |
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| 摘 要： | 多能源耦合枢纽作为微能源网的核心部件,其系统模型的准确性将影响微能源网的运行效率。文中针对一种包含太阳能和风能发电系统、储能系统、有机朗肯循环系统、传统冷热电三联供系统的多能源耦合枢纽,综合考虑负荷需求、价格因素和环境因素,以系统运行成本、一次能源消耗量和碳排放量最小化为目标,建立了微能源网中多能源互补的多目标优化模型;采用粒子群算法对发电机和储能的运行策略进行求解,得到最优目标。最后,与微电网进行对比分析,验证了多能耦合系统在提高能源利用率和减少碳排放方面的优势。
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| 关 键 词： | 微能源网 多能源互补 能源互联网 有机朗肯循环 |
| 收稿时间： | 2017/12/18 0:00:00 |
| 修稿时间： | 2018/6/13 0:00:00 |
Modelling and Optimization of Multi-energy Coupling Hub for Micro-energy Network |
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| LIU Fangze,MU Longhu,ZHANG Tao and ZHU Tong.Modelling and Optimization of Multi-energy Coupling Hub for Micro-energy Network[J].Automation of Electric Power Systems,2018,42(14):91-98. |
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| Authors: | LIU Fangze MU Longhu ZHANG Tao and ZHU Tong |
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| Affiliation: | School of Electronics and Information Engineering, Tongji University, Shanghai 201804, China,School of Electronics and Information Engineering, Tongji University, Shanghai 201804, China,School of Mechanical Engineering, Tongji University, Shanghai 201804, China and School of Mechanical Engineering, Tongji University, Shanghai 201804, China |
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| Abstract: | Multi-energy coupling hub is the core component of micro-energy network, so the accuracy of its system model has an effect on the operation efficiency of the micro-energy network. Aiming at the multi-energy coupling hub which consists of solar power and wind power generation systems, energy storage systems, organic Rankine cycle(ORC)systems and combined cooling, heating and power(CCHP)systems, this paper develops a multi-objective optimization model for multi-energy coupling in the micro-energy network. The optimization model considers the load demand, the price factor and the environment, and it aims to minimize the system operation costs, primary energy consumption and carbon emissions. The particle swarm optimization(PSO)algorithm is used to solve the operation strategies of the generator and the energy storage system, and the optimal target is obtained. Finally, the advantages of the multi-energy coupling system in energy efficiency and carbon emissions are verified by comparing it with the microgrid. |
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| Keywords: | micro-energy network multi-energy coupling Energy Internet organic Rankine cycle(ORC) |
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