An interval based cost-emissions optimization strategy for gas-electricity integrated energy systems under uncertainty and demand response
| Autor: | Weiqi Nie, Haixiang Qiao, Yao Zhou, Yongxin Su, Mao Tan |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Wind power
business.industry Computer science 020209 energy 02 engineering and technology Interval (mathematics) Automotive engineering Demand response Pipeline transport Natural gas 0202 electrical engineering electronic engineering information engineering Electricity business Operating cost Energy (signal processing) |
| Zdroj: | 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2). |
| DOI: | 10.1109/ei2.2017.8245525 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|