An interval based cost-emissions optimization strategy for gas-electricity integrated energy systems under uncertainty and demand response

The natural gas network and the electricity network are tightly integrated in popular Energy Internet frameworks. This paper focuses on an operation strategy to optimize the operating cost and the emissions of gas-electricity integrated energy systems (GEIES). The wind power, pumped storage station...

Full description

Saved in:
Bibliographic Details
Published in2017 IEEE Conference on Energy Internet and Energy System Integration (EI2) pp. 1 - 6
Main Authors Yongxin Su, Weiqi Nie, Yao Zhou, Mao Tan, Haixiang Qiao
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.11.2017
Subjects
demand response
gas and electricity network
Generators
interval optimization
Mathematical model
Natural gas
Optimization
Pipelines
pumped storage station
Reservoirs
wind power
Wind power generation
Online AccessGet full text

Cover

More Information
Summary:The natural gas network and the electricity network are tightly integrated in popular Energy Internet frameworks. This paper focuses on an operation strategy to optimize the operating cost and the emissions of gas-electricity integrated energy systems (GEIES). The wind power, pumped storage station and demand response are considered as key influence factors in the strategy. The strategy is based on interval optimization. In the presented strategy, the model of gas network and the electricity network are established, the operating cost models, emissions models and operation constrains, especially. The pumped storage station and the incentive demand response are integrated into the optimization model to optimize operational performances of GEIES. Moreover, the interval mathematics is introduced to address wind power uncertainty. Detailed experiment results demonstrate that the proposed strategy is a feasible way to reduce the operating cost and the emissions of GEIES.
DOI:10.1109/EI2.2017.8245525