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考虑负荷密度的区域能源系统供能分区规划
引用本文:孟佳乐,刘青荣,阮应君,钱凡悦,孟华,袁佳敏. 考虑负荷密度的区域能源系统供能分区规划[J]. 科学技术与工程, 2022, 22(3): 1183-1190
作者姓名:孟佳乐  刘青荣  阮应君  钱凡悦  孟华  袁佳敏
作者单位:上海电力大学能源与机械工程学院,上海200090;同济大学机械与能源工程学院,上海200092
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
摘    要:现有的区域能源系统规划研究中缺乏科学有效的供能分区优化方法,且能源站的供能范围、数量和选址中未能考虑负荷密度特性问题,为此提出考虑负荷密度的区域能源系统供能分区优化设计方法。首先研究了负荷分布与能源站经济供能半径的关系,根据管网拓扑结构简化模型建立了负荷密度与能源站经济供能半径优化模型。进而基于推导得到的经济供能半径和负荷密度的特性关系,建立了以传统空调系统与区域能源系统的全寿命周期费用差值最大为目标函数的规划模型。最后通过案例仿真并与传统K-means聚类方法进行比较,结果表明该方法可使区域能源系统的能耗损失成本、管网投资成本和运维费用分别降低了22%、5.1%和2.1%。

关 键 词:供能分区  能源站数量  经济半径  负荷密度
收稿时间:2021-07-01
修稿时间:2021-11-12

Regional energy supply planning of district energy system considering load density
Meng Jiale,Liu Qingrong,Ruan Yingjun,Qian Fanyue,Meng Hu,Yuan Jiamin. Regional energy supply planning of district energy system considering load density[J]. Science Technology and Engineering, 2022, 22(3): 1183-1190
Authors:Meng Jiale  Liu Qingrong  Ruan Yingjun  Qian Fanyue  Meng Hu  Yuan Jiamin
Affiliation:Shanghai University of Electric Power
Abstract:The lack of effective energy supply zone optimization method of regional energy system planning , and failing to consider the load density characteristics in energy supply range, quantity and location of the energy station. For this reason, an optimal design method for energy supply zone of energy system considering load density is proposed. Firstly, the relationship between load distribution and economic energy supply radius of energy station is studied, and an optimization model of load density and economic energy supply radius of energy station is established based on the simplified model of the pipe network topology. Secondly, based on the derived characteristic relationship between economic energy supply radius and load density, a planning model with the maximum life-cycle cost difference between the traditional air-conditioning system and the district energy system as the objective function is established. Finally, through case simulation and comparison with the traditional K-means clustering method, the results show that this method reduces the energy loss cost, pipeline network investment cost and operation and maintenance cost of the district energy system by 22%, 5.1%,2.1%.
Keywords:energy supply zone   number of energy stations   economic radius   load density
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