Optimal Design and Operation of Regional Multi-Energy Systems With High Renewable Penetration Considering Reliability Constraints
| Autor: | Huan Wang, Song Kun, Pan Xiao, Zhang Na, Zhang Mingli, Peng Ye, Cheng Mengzeng, Duojiao Guan |
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| Rok vydání: | 2020 |
| Předmět: |
Optimal design
General Computer Science Linear programming Computer science 020209 energy 02 engineering and technology law.invention Electric power system Hydrogen storage regional multi-energy system law 0202 electrical engineering electronic engineering information engineering General Materials Science Process engineering Electrolysis reliability Electrolysis of water business.industry Hydrogen energy General Engineering 021001 nanoscience & nanotechnology renewable energy Renewable energy Energy cascade Fuel cells lcsh:Electrical engineering. Electronics. Nuclear engineering Electricity 0210 nano-technology business lcsh:TK1-9971 |
| Zdroj: | IEEE Access, Vol 8, Pp 205307-205315 (2020) |
| ISSN: | 2169-3536 |
| DOI: | 10.1109/access.2020.3036640 |
| Popis: | The regional multi-energy system (RMES) can realize the coupling and complementation of different energy sectors, including electricity, heat, and gas, with the advantage of energy cascade utilization. With the development of hydrogen fuel cell vehicle (FCV) technology, hydrogen has great application potential in the transportation sector. The use of surplus electricity to produce hydrogen through water electrolysis technology can increase renewable energy penetration in power systems. This paper proposed an optimal design and operation method of RMES that considers system reliability constraints under different-level renewable energy penetrations. The RMES includes renewable generation devices, conversion devices such as fuel cells and electric boilers, and emerging devices such as electrolysis cells and hydrogen storage tanks. In order to improve the reliability of the planning results, we consider the reliability constraints of crucial devices in the planning model. In addition, we paid attention to the potential of hydrogen storage tanks for inter-seasonal energy complementation. In the solution of the model, the optimization model can be transformed into a mixed-integer linear programming (MILP) problem by linearizing the non-linear constraints, which can be directly solved by CPLEX, showing good performances in practical applications. Finally, case studies are performed to show the superiority of the planning model. |
| Databáze: | OpenAIRE |
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