An improved affine arithmetic‐based optimization method for district energy systems with uncertainties

In the process of the district energy system (DES) operation and dispatching, there are various uncertainties brought by the strong coupling of equipment and the fluctuation of internal and external surroundings, and these uncertain parameters are often correlated. In this paper, an improved affine...

Full description

Saved in:
Bibliographic Details
Published in:Energy science & engineering 2023-03, Vol.11 (3), p.1080-1091
Main Authors: Liu, Tianjie, Jiao, Wenling, Tian, Xinghao, Zhang, Xin
Format: Article
Language:English
Subjects:
affine arithmetic
Algorithms
Alternative energy sources
Carbon
Control algorithms
district energy system
Economic models
Electricity
Energy resources
Environmental factors
Environmental tax
Expenditures
Interval arithmetic
interval linear programming
Maintenance costs
Methods
Natural gas
Optimization
Parameter uncertainty
Probability distribution
Renewable resources
uncertain parameters
Wind power
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In the process of the district energy system (DES) operation and dispatching, there are various uncertainties brought by the strong coupling of equipment and the fluctuation of internal and external surroundings, and these uncertain parameters are often correlated. In this paper, an improved affine arithmetic‐based method is proposed to solve the economic dispatching problem of DES with correlated uncertainties. First, an optimal dispatching model considering economic and environmental factors is constructed. An affine algorithm is introduced and interval arithmetic is used to improve the problem of interval extension and high‐order noise element. Taking a classical DES system as an example, the optimal dispatching of the system is analyzed using deterministic method, interval method, and proposed method. The application effect of the proposed method under different uncertainties scale and amplitude is also discussed. The results show that the proposed method can effectively reduce the width of target value interval compared with the traditional interval optimization method, which can further contribute to the optimal operation decision. The paper represents an improved affine arithmetic‐based method to solve the economic dispatching problem of district energy systems. The proposed method considers the uncertainty overall process and the correlation of variables simultaneously
ISSN:2050-0505
2050-0505
DOI:10.1002/ese3.1369