期刊
ELECTRIC POWER SYSTEMS RESEARCH
卷 190, 期 -, 页码 -出版社
ELSEVIER SCIENCE SA
DOI: 10.1016/j.epsr.2020.106690
关键词
power system modeling; power system economics; optimization; sensitivity analysis; modeling to generate alternatives
资金
- Helmholtz Association [VH-NG-1352]
Models for long-term investment planning in the power system typically return a single optimal solution based on cost assumptions, but there are often many near-optimal alternatives. Understanding common features across cost-effective alternatives can enhance policy advice and acknowledge uncertainties in the model structure.
Models for long-term investment planning of the power system typically return a single optimal solution per set of cost assumptions. However, typically there are many near-optimal alternatives that stand out due to other attractive properties like social acceptance. Understanding features that persist across many cost-efficient alternatives enhances policy advice and acknowledges structural model uncertainties. We apply the modeling-to generate-alternatives (MGA) methodology to systematically explore the near-optimal feasible space of a completely renewable European electricity system model. While accounting for complex spatio-temporal patterns, we allow simultaneous capacity expansion of generation, storage and transmission infrastructure subject to linearized multi-period optimal power flow. Many similarly costly, but technologically diverse solutions exist. Already a cost deviation of 0.5% offers a large range of possible investments. However, either offshore or onshore wind energy along with some hydrogen storage and transmission network reinforcement appear essential to keep costs within 10% of the optimum.
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