
Demand response potential of customer-side integrated energy system
Author(s) -
Wei Zhao,
Jingtao Wang,
Dongmei Jiang
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/632/4/042026
Subject(s) - correctness , computer science , energy (signal processing) , construct (python library) , demand response , energy consumption , demand side , reliability engineering , engineering , algorithm , electricity , environmental economics , mathematics , statistics , electrical engineering , economics , programming language
Fully utilizing the adjustable potential of integrated demand response (IDR) in customer-side multi-energy system is the effective way to improve energy efficiency, decrease energy cost during supply and use, and reduce the risk of default on the customer-side. In this paper, we propose an adjustable potential analysis method of customer-side IDR considering multi-energy coupling and conversion relationships. First, we classify the loads based on energy characteristics, establish the corresponding load response model. Then, construct an adjustable potential analysis model which is constrained by multi-energy output and energy balance before and after, aimed at lowest energy operation cost on the customer-side, using linear programming algorithm for model optimization. Finally, verify the correctness and effectiveness of the model by analyzing the impact of loads reduction on response in experimental case.