文章摘要
刘方泽,牟龙华,张涛,等.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. DOI: 10.7500/AEPS20171218003.
Liu Fangze,Mu Longhua,Zhang Tao, et al.Modelling and Optimization of Multi-energy Coupling Hub for Micro-energy Network[J].Automation of Electric Power Systems. DOI: 10.7500/AEPS20171218003.
微能源网多能源耦合枢纽的模型搭建与优化
Modelling and Optimization of Multi-energy Coupling Hub for Micro-energy Network
DOI:10.7500/AEPS20171218003
关键词: 微能源网  多能源互补  能源互联网  有机朗肯循环
KeyWords: micro-energy network  multi-energy coupling  modelling  organic Rankine cycle(ORC)
上网日期:2018-06-12
基金项目:国家重点基础研究发展计划(973计划)
作者单位E-mail
刘方泽 同济大学 1631483@tongji.edu.cn 
牟龙华 同济大学 lhmu@tongji.edu.cn 
张涛 同济大学 zhangtaobeyond@126.com 
朱彤 同济大学 zhu_tong@tongji.edu.cn 
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。本文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作为目标,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。
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 operational efficiency of the system. In this paper, a multi-objective optimization model is established aimed at the multi-energy coupling in micro-energy network, which consists of solar power and wind power generation systems, energy storage systems, the organic Rankine cycle(ORC) systems and the combined cooling heating and power(CCHP) systems. The optimization model considers the load demand, the price factor and the environment, and it aims to minimize the system operating costs, primary energy consumption and carbon emissions. The particle swarm optimization (PSO) algorithm is used to solve the operation strategy of the generator and energy storage system, and the optimal target is obtained. Finally, the advantages of the multi-energy coupling system model in energy efficiency and carbon emissions are verified by comparing it with the micro-grid.
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