Back to Search
Start Over
A Novel Hybrid Framework for Co-Optimization of Power and Natural Gas Networks Integrated With Emerging Technologies
- Source :
- Mirzaei, M A, Nazari-Heris, M, Mohammadi-ivatloo, B, Zare, K, Marzband, M & Anvari-Moghaddam, A 2020, ' A Novel Hybrid Framework for Co-Optimization of Power and Natural Gas Networks Integrated With Emerging Technologies ', I E E E Systems Journal, vol. 14, no. 3, 9043701, pp. 3598-3608 . https://doi.org/10.1109/JSYST.2020.2975090
- Publication Year :
- 2020
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2020.
-
Abstract
- In a power system with high penetration of renewable power sources, gas-fired units can be considered as a back-up option to improve the balance between generation and consumption in short-term scheduling. Therefore, closer coordination between power and natural gas systems is anticipated. This article presents a novel hybrid information gap decision theory (IGDT)-stochastic cooptimization problem for integrating electricity and natural gas networks to minimize total operation cost with the penetration of wind energy. The proposed model considers not only the uncertainties regarding electrical load demand and wind power output, but also the uncertainties of gas load demands for the residential consumers. The uncertainties of electric load and wind power are handled through a scenario-based approach, and residential gas load uncertainty is handled via IGDT approach with no need for the probability density function. The introduced hybrid model enables the system operator to consider the advantages of both approaches simultaneously. The impact of gas load uncertainty associated with the residential consumers is more significant on the power dispatch of gas-fired plants and power system operation cost since residential gas load demands are prior than gas load demands of gas-fired units. The proposed framework is a bilevel problem that can be reduced to a one-level problem. Also, it can be solved by the implementation of a simple concept without the need for Karush–Kuhn–Tucker conditions. Moreover, emerging flexible energy sources such as the power to gas technology and demand response program are considered in the proposed model for increasing the wind power dispatch, decreasing the total operation cost of the integrated network as well as reducing the effect of system uncertainties on the total operating cost. Numerical results indicate the applicability and effectiveness of the proposed model under different working conditions.
- Subjects :
- Electrical load
H600
Computer Networks and Communications
Computer science
power-to-gas (P2G) technology
H300
0211 other engineering and technologies
02 engineering and technology
Demand response
Electric power system
hybrid information gap decision theory (IGDT)-stochastic
Electrical and Electronic Engineering
Operating cost
Power to gas
021103 operations research
Wind power
business.industry
wind power
Co-optimization of integrated gas and power system
Computer Science Applications
Renewable energy
Reliability engineering
Control and Systems Engineering
Energy source
business
demand response (DR) program
Information Systems
Subjects
Details
- ISSN :
- 23737816 and 19328184
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- IEEE Systems Journal
- Accession number :
- edsair.doi.dedup.....f385a9829a75c7ab002288828a9ddbd2