华电技术 ›› 2021, Vol. 43 ›› Issue (4): 14-20.doi: 10.3969/j.issn.1674-1951.2021.04.003

• 综合能源系统 • 上一篇    下一篇

基于粒子群优化算法的多能互补系统经济调度研究

赵鑫(), 郑文禹, 侯智华, 陈衡, 徐钢*()   

  1. 华北电力大学 能源动力与机械工程学院,北京 102206
  • 收稿日期:2021-01-07 修回日期:2021-04-06 出版日期:2021-04-25 发布日期:2021-04-25
  • 通讯作者: 徐钢
  • 作者简介:赵鑫(1989—),男,辽宁锦州人,在读博士研究生,从事多能互补系统研究(E-mail:ncepuzhx@163.com)。
  • 基金资助:
    国家重点研发计划项目(2017YFB0602104);国家自然科学基金项目(51806062)

Research on economic dispatch of multi-energy complementary system based on Particle Swarm Optimization

ZHAO Xin(), ZHENG Wenyu, HOU Zhihua, CHEN Heng, XU Gang*()   

  1. School of Energy, Power and Mechanical Engineering,North China Electric Power University,Beijing 102206,China
  • Received:2021-01-07 Revised:2021-04-06 Online:2021-04-25 Published:2021-04-25
  • Contact: XU Gang

摘要:

为了发挥多能互补系统能源协同利用的优势,实现能源梯级利用,保证电力系统安全、低碳、稳定、高效、经济运行,根据多能互补系统中能量流动的特点,选取电气母线、热水母线、冷水母线、烟气母线、蒸汽母线作为基本框架,对系统中的各个设备独立建模。围绕该结构建立多能互补系统的日动态经济调度混合整数线性规划模型,利用智能算法中的粒子群优化算法进行运行费用优化,得到成本最低的设备运行模式。以某医院为例进行测试,测试结果证实了该模型的有效性以及多能互补系统在充分利用可再生能源与经济性方面的优势。

关键词: 多能互补, 可再生能源, 冷热电联供, 低碳, 经济调度, 混合整数线性规划模型, 粒子群优化算法

Abstract:

Giving full play to the advantage of synergetic utilization on energy, multi-energy complementary systems can realize the cascade utilization of energy, and ensure the safe, low-carbon, stable, efficient and economic operation of power system. According to the characteristics of energy flow in the system, electric bus, hot water bus, cold water bus, flue gas bus and steam bus are selected as the basic framework of the system. The models of each device in the system is set up independently. Based on this structure, a mixed-integer linear programming model for the system's daily dynamic economic dispatch is established. The operation cost of this model can be adjusted by an intelligent algorithm, Particle Swarm Optimization (PSO), and the operating mode of equipment with the lowest operating cost can be obtained. Taking a hospital as a testing example, the test results confirm the effectiveness of the model and the advantages of the multi-energy complementary system in making full use of renewable energy and economy.

Key words: multi-energy complementation, renewable energy, CCHP, low carbon, economic dispatch, mixed-integer linear programming model, Particle Swarm Optimization

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