吉林大学学报(信息科学版) ›› 2022, Vol. 40 ›› Issue (3): 339-346.

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CCHP及储能的微网建模及经济运行优化研究

付光杰, 曹 旭   

  1. 东北石油大学 电气信息工程学院, 黑龙江 大庆 163318
  • 收稿日期:2021-07-27 出版日期:2022-07-14 发布日期:2022-07-14
  • 作者简介:付光杰(1962— ), 女, 吉林通化人, 东北石油大学教授, 博士生导师, 主要从事电力电子技术应用、 电机调速控制和 电力系统节能技术等研究, (Tel)86-13936780179(E-mail)fgjmhw@ 163. com。
  • 基金资助:
    国家自然科学基金资助项目(51474069)

A Research on Micro Grid Modeling and Economic Operation Optimization with CCHP and Energy Storage

FU Guangjie, CAO Xu   

  1. School of Electrical and Information Engineering, Northeast Petroleum University, Daqing 163318, China
  • Received:2021-07-27 Online:2022-07-14 Published:2022-07-14

摘要: 为了对冷热电联供系统(CCHP: Combined Cooling Heating and Power) 进行合理的调度优化, 建立一个高效节约的联供系统, 提高系统经济性, 并实现能源梯级利用, 在已有研究的基础上, 构建一个含有余热回收系统, 并包含发电机组及制冷机组的小型冷热电联供系统, 根据系统内的部分负荷特性对系统内机组单独建模, 并对原有粒子群算法进行优化, 最后引入算例进行验证。 结果表明, 系统对算法的优化起到了良好的效果, 改进型的算法确保了系统运行的稳定性和实用性。

关键词: 冷热电联供, 粒子群算法, 综合能源微网, 优化调度 

Abstract: In order to optimize the CCHP(Combined Cooling Heating and Power) supply system reasonably, a system of efficient installations of saving is established. It improves system efficiency, and realizes the cascade utilization of energy. On the basis of existing research, a waste heat recovery system is built. It contains a generator set and refrigeration unit. According to the partial load characteristic of the system on the unit in the system modeling alone, the original particle swarm optimization algorithm is optimized, and an example is introduced to verify it. The results show that the system has a good effect on the optimization of the algorithm, and the improved algorithm ensures the stability and practicability of the system operation.

Key words: cooling, heating and power supply, particle swarm optimization, integrated energy microgrid, optimal operation

中图分类号: 

  • TP18