| 引用本文: | 陈丽萍,林晓明,许苑,等.基于能源集线器的微能源网建模与多目标优化调度[J].电力系统保护与控制,2019,47(6):9-16.[点击复制] |
| CHEN Liping,LIN Xiaoming,XU Yuan,et al.Modeling and multi-objective optimal dispatch of micro energy grid based on energy hub[J].Power System Protection and Control,2019,47(6):9-16[点击复制] |
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| 摘要: |
| 提高能源利用率是实现能源可持续发展的重要举措。基于能源集线器的概念，提出了微能源网的通用化建模方法，得到线性的功率平衡方程。进一步地，以系统总收益最大化和能源利用率最大化为优化目标，构建了微能源网多目标优化调度模型。结合加权和法在Matlab和GAMS软件上求解得到多目标优化调度模型的Pareto前沿，并采用模糊隶属度函数求取最优折中解，作为多目标优化调度方案。最后，构建典型的微能源网进行验算。结果表明，所提出的通用化建模方法具有直观性和通用性，所提出的多目标优化调度模型能为调度决策者提供多维度的调度方案，兼顾了系统运行的经济性和高效性。 |
| 关键词: 能源集线器 微能源网 能源利用率 多目标优化 |
| DOI：10.7667/PSPC180448 |
| 投稿时间：2018-04-19修订日期：2018-06-03 |
| 基金项目:国家自然科学?基金资助项目(51777077);广州供电局规划专题项目(030100QQ00170002) |
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| Modeling and multi-objective optimal dispatch of micro energy grid based on energy hub |
| CHEN Liping,LIN Xiaoming,XU Yuan,LI Tao,LIN Lin,HUANG Chunyan |
| (Guangzhou Power Supply Bureau Limited, Guangzhou 510620, China;Guangzhou Power Electrical Technology Company Limited, Guangzhou 510635, China) |
| Abstract: |
| Improving energy efficiency is an important measure to achieve sustainable energy development. Based on the concept of energy hub, a generalized modeling method for micro energy grid is proposed and the linear power balance equation is obtained. Further, aiming at maximum revenue and maximum energy efficiency, the multi-objective optimal dispatch model for micro energy grid is established, where the Pareto frontier is obtained by Matlab and GAMS software combined with weighted sum method. And the fuzzy membership function is adopted to obtain the optimal compromise solution, which is used as a multi-objective optimal dispatch scheme. Finally, a typical micro energy grid is constructed for simulation, where the results suggest that the proposed generalized modeling method is intuitive and versatile and the proposed multi-objective optimal dispatch model can provide multi-dimensional dispatch schemes for decision makers, taking into account both the system operational economy and efficiency. ? This work is supported by National Natural Science Foundation of China (No. 51777077) and Planning Program of Guangzhou Power Supply Bureau (No. 030100QQ00170002). |
| Key words: energy hub micro energy grid energy efficiency multi-objective optimization |
