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Optimal Low-Carbon Economic Environmental Dispatch of Hybrid Electricity-Natural Gas Energy Systems Considering P2G
- Source :
- Energies, Vol 12, Iss 7, p 1355 (2019), Energies; Volume 12; Issue 7; Pages: 1355, Liu, J, Sun, W & Harrison, G 2019, ' Optimal low-carbon economic environmental dispatch of hybrid electricity-natural gas energy systems considering P2G ', Energies, vol. 12, no. 7, 1355 . https://doi.org/10.3390/en12071355
- Publication Year :
- 2019
- Publisher :
- MDPI AG, 2019.
-
Abstract
- Power to gas facilities (P2G) could absorb excess renewable energy that would otherwise be curtailed due to electricity network constraints by converting it to methane (synthetic natural gas). The produced synthetic natural gas can power gas turbines and realize bidirectional energy flow between power and natural-gas systems. P2G, therefore, has significant potential for unlocking inherent flexibility in the integrated system, but also poses new challenges of increased system complexity. A coordinated operation strategy that manages power and natural-gas network constraints together is essential to address such challenges. In this paper, a novel low-carbon economic environmental dispatch strategy is presented considering all the constraints in both systems. The multi-objective black-hole particle swarm optimization algorithm (MOBHPSO) is adopted. In addition to P2G, a gas demand management strategy is proposed to support gas flow balance. A new solving approach that combines the effective redundancy method, trust region method, and Levenberg-Marquardt method is proposed to address the complex coupled constraints. Case studies that use an integrated IEEE 39-bus power and Belgian high-calorific 20-node gas system demonstrate the effectiveness and scalability of the proposed model and optimization method. The analysis of dispatch results illustrates the benefit of P2G for the wind power accommodation, and low-carbon, economic, and environmental improvement of integrated system operation.
- Subjects :
- Demand management
Gas turbines
Mathematical optimization
Control and Optimization
Computer science
020209 energy
hybrid electricity-natural gas energy systems
power to gas (P2G)
low-carbon
economic environmental dispatch
trust region method
Levenberg-Marquardt method
Energy Engineering and Power Technology
02 engineering and technology
lcsh:Technology
Methane
chemistry.chemical_compound
Natural gas
Energy flow
0202 electrical engineering, electronic engineering, information engineering
Redundancy (engineering)
Electrical and Electronic Engineering
Engineering (miscellaneous)
Power to gas
Substitute natural gas
Wind power
lcsh:T
Renewable Energy, Sustainability and the Environment
business.industry
Particle swarm optimization
021001 nanoscience & nanotechnology
Renewable energy
chemistry
Scalability
Electricity
0210 nano-technology
business
Energy (miscellaneous)
Subjects
Details
- ISSN :
- 19961073
- Volume :
- 12
- Database :
- OpenAIRE
- Journal :
- Energies
- Accession number :
- edsair.doi.dedup.....74aa5d165856b09bf3066323dbc39b99