Optimal design of installation capacity and operation strategy for distributed energy system

LIAO Yufeng; HUANG Xiaotong; HE Jibiao; LIU Yuquan; LI Yajun

doi:10.19666/j.rlfd.201812226

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Optimal design of installation capacity and operation strategy for distributed energy system

更新时间：2025-09-28

- Optimal design of installation capacity and operation strategy for distributed energy system
- Thermal Power Generation Vol. 48, Issue 5, Pages: 89-96(2019)
- 作者机构：
  
  1. 广州供电局有限公司
  2. 华南理工大学化学与化工学院
- 作者简介：
- 基金信息：
- DOI：10.19666/j.rlfd.201812226
  CLC： TE09
- Published Online：29 April 2019，
  
  Published：2019
- 稿件说明：
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LIAO Yufeng, HUANG Xiaotong, HE Jibiao, et al. Optimal design of installation capacity and operation strategy for distributed energy system[J]. Thermal power generation, 2019, 48(5): 89-96.
DOI：

LIAO Yufeng, HUANG Xiaotong, HE Jibiao, et al. Optimal design of installation capacity and operation strategy for distributed energy system[J]. Thermal power generation, 2019, 48(5): 89-96. DOI： 10.19666/j.rlfd.201812226.

摘要

为解决分布式供能系统(DES)运行过程中因能源供求不匹配、供需不平衡而产生的能量浪费和经济效益差的问题

以综合性能参数最优为目标函数

以系统逐时能量平衡为约束条件

建立了满足多建筑业态用能需求的DES装机规模和运行策略的优化模型

并将建立的模型及编制的算法应用到某金融中心的供能系统设计中。结果表明:满足该金融中心终端能源需求时的DES最佳装机容量为15.22 MW;与传统供能系统相比

使用本文提出的模型优化配置的金融中心的DES年总能耗可降低17.4%

能源利用率可提高21.1%。本文建立的装机容量优化模型和求解策略能够为DES的设计和运行方案提供理论依据。

Abstract

Aiming at solving the problem of energy waste and poor economic benefits caused by mismatch of energy supply and demand in distributed energy system(DES)

an optimization model of the DES installation capacity and operation strategy is built for multi-form buildings in this paper

where the optimal comprehensive performance parameter is taken as the objective function and the hourly energy balance is chosen as constraint.Furthermore

the model and algorithm are applied to an actual case study of the DES in one financial center

where the optimal installation capacity is 15.22 MW when satisfying the energy demand of terminal users.Compared with the conventional energy system

the annual total cost of the DES can be reduced by 17.4 % and the primary energy ratio can be increased by 21.1 %. The established model of installation capacity and operation strategy can provide theoretical basis for design and operation of the DES.

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