Optimal generation and transmission development of the North Sea region: Impact of grid architecture and planning horizon

Abstract — The European Union is pushing to achieve a sustainable, competitive and secure energy supply in Europe. This has translated into significant long-term renewable energy targets towards 2050, and the ambition to improve the European grid. A large share of this development is expected to occur in the North Sea. This paper investigates which transmission architecture is the most beneficial to integrate large shares of renewable energy in the North Sea region, and the consequences of the planning horizon when planning such a system towards 2050 are analysed. This is achieved by performing investment optimisation of generation and transmission for different scenarios. It is found that: 1) an integrated offshore grid configuration planned over a long planning horizon leads to cost minimization; 2) the grid topology is not likely to influence the penetration of variable renewable energy, but it will affect the contribution of each variable renewable energy type and the system costs; and 3) not taking the future into account when developing the energy system is likely to lead to a more expensive system. These results remark the importance of long-term planning horizon for energy systems and grid expansion and calls for a political focus on planning and international cooperation.

[1]  Matti Koivisto,et al.  NSON-DK energy system scenarios – Edition 2 , 2018 .

[2]  H. Bessembinder,et al.  Gains from Trade under Uncertainty: The Case of Electric Power Markets , 2006 .

[3]  Antonio J. Conejo,et al.  Candidate line selection for transmission expansion planning considering long- and short-term uncertainty , 2018, International Journal of Electrical Power & Energy Systems.

[4]  Paulien M. Herder,et al.  Expansion planning of the North Sea offshore grid: Simulation of integrated governance constraints , 2018 .

[5]  R. Moreno,et al.  Coordination and uncertainty in strategic network investment: Case on the North Seas Grid , 2017 .

[6]  E. M. L. Beale,et al.  Global optimization using special ordered sets , 1976, Math. Program..

[7]  T. K. Vrana,et al.  Review of investment model cost parameters for VSC HVDC transmission infrastructure , 2017 .

[9]  Edgar Nuño,et al.  Using time series simulation tools for assessing the effects of variable renewable energy generation on power and energy systems , 2018, WIREs Energy and Environment.

[10]  Nikos D. Hatziargyriou,et al.  Transmission Expansion Planning of Systems With Increasing Wind Power Integration , 2013, IEEE Transactions on Power Systems.

[11]  Poul Ejnar Sørensen,et al.  Simulation of transcontinental wind and solar PV generation time series , 2018 .

[12]  Salvador Cruz Rambaud,et al.  Some considerations on the social discount rate , 2005 .

[13]  Enzo Sauma,et al.  If you build it, he will come: Anticipative power transmission planning , 2013 .

[14]  Marie Münster,et al.  Balmorel open source energy system model , 2018 .

[15]  Paulien M. Herder,et al.  Transmission expansion simulation for the European Northern Seas offshore grid , 2017 .

[16]  Matti Lehtonen,et al.  Wind speed modeling using a vector autoregressive process with a time-dependent intercept term , 2016 .

[17]  G. Powers,et al.  A Description of the Advanced Research WRF Version 3 , 2008 .

[18]  H. Jacobsen,et al.  Comparing offshore and onshore wind development considering acceptance costs , 2019, Energy Policy.

[19]  T. Brown,et al.  Synergies of sector coupling and transmission reinforcement in a cost-optimised, highly renewable European energy system , 2018, Energy.

[20]  Kathleen Vaillancourt,et al.  Mexico’s Transition to a Net-Zero Emissions Energy System: Near Term Implications of Long Term Stringent Climate Targets , 2018 .

[21]  Goran Strbac,et al.  The benefits of integrating European electricity markets , 2016 .

[22]  M. Kirkengen,et al.  The role of the discount rates in energy systems optimisation models , 2016 .

[23]  F. Nieuwenhout,et al.  Integrated North Sea grids: The costs, the benefits and their distribution between countries , 2017 .

[24]  Kenneth Karlsson,et al.  Heat supply planning for the ecological housing community Munksøgård , 2016 .

[25]  D. Gately Sharing the Gains from Regional Cooperation: A Game Theoretic Application to Planning Investment in Electric Power , 1974 .

[26]  Dogan Keles,et al.  How to benefit from a common European electricity market design , 2017 .

[27]  João Gorenstein Dedecca,et al.  A review of the North Seas offshore grid modeling: Current and future research , 2016 .