• CSCD核心库收录期刊
  • 中文核心期刊
  • 中国科技核心期刊

电力建设 ›› 2021, Vol. 42 ›› Issue (4): 49-58.doi: 10.12204/j.issn.1000-7229.2021.04.006

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考虑生物质供给价格弹性的工业园区综合能源系统规划

高阳1, 席皛1, 刘小慧2, 王小君2   

  1. 1.中国电建集团吉林省电力勘测设计院有限公司,长春市 130022
    2.北京交通大学电气工程学院,北京市 100044
  • 收稿日期:2020-10-20 出版日期:2021-04-01 发布日期:2021-03-30
  • 作者简介:高阳(1979),男,教授级高级工程师,主要研究方向为新能源发电综合利用等|席皛(1982),男,教授级高级工程师,主要研究方向为电力系统规划等|刘小慧(1996),女,硕士研究生,主要研究方向为综合能源系统规划与运行等
  • 基金资助:
    中国电力建设集团有限公司总部项目(DJ-ZDXM-2019-54);国家自然科学基金项目(51977005)

Integrated Energy System Planning Method for Industrial Parks Considering the Price Elasticity of Biomass Supply

GAO Yang1, XI Xiao1, LIU Xiaohui2, WANG Xiaojun2   

  1. 1. Power China Jilin Electric Power Engineering Co., Ltd., Changchun 130022, China
    2. School of Electrical Engineering, Beijing Jiaotong University, Beijing 100044,China
  • Received:2020-10-20 Online:2021-04-01 Published:2021-03-30
  • Supported by:
    Program of Power Construction Corporation of China(DJ-ZDXM-2019-54);National Natural Science Foundation of China(51977005)

摘要:

针对以生物质联供机组为核心的综合能源系统(integrated energy system,IES)在实际运行过程中存在的生物质燃料收集困难、供应不稳定等问题,文章提出了一种考虑生物质供给价格弹性的综合能源系统规划方法。首先,基于生物质收购价格弹性理论建立了秸秆收集成本模型,并将其引入工业园区综合能源系统双层规划中。其次,上层模型以设备规划容量及秸秆收购价格为优化变量,以年化综合费用最小为优化目标;下层模型以设备逐时出力及秸秆消耗量为优化变量,以考虑价格弹性的秸秆收集成本在内的年运行成本最小为优化目标,并采用粒子群算法和CPLEX工具箱进行联合求解。最后,以吉林省某典型工业园区为算例验证了所提规划方法更贴合工程实际情况,具有更加优越的经济性。

关键词: 综合能源系统(IES), 生物质能, 价格弹性, 双层规划

Abstract:

Because of the difficulties of biomass fuel collection and unstable supply in the actual operation of the integrated energy system (IES) centered on biomass cogeneration units, this paper proposes an IES planning method that considers the price elasticity of biomass supply. Firstly, according to the biomass purchase price elasticity theory, a straw collection cost model is established and introduced into the two-level planning of the industrial park IES. Secondly, the upper-level model uses equipment planning capacity and straw purchase price as optimization variables to pursue the minimum annualized comprehensive cost; the lower-level model uses equipment hourly output and straw consumption as optimization variables to pursue the minimum annual operating cost that takes into account the price flexibility of straw collection costs, and the particle swarm optimization and the CPLEX toolbox are used to solve the problem. Finally, a typical industrial park in Jilin Province is taken as an example to verify that the proposed planning method is more suitable for the actual situation of the project and has a more superior economic efficiency.

Key words: integrated energy system (IES), biomass energy, price elasticity, two-level planning

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