How to benefit from a common European electricity market design

被引:65
作者
Ringler, Philipp [1 ]
Keles, Dogan [1 ]
Fichtner, Wolf [1 ]
机构
[1] Karlsruhe Inst Technol, Inst Ind Prod, Hertzstr 16, D-76187 Karlsruhe, Germany
关键词
European electricity markets; Electricity market design; Market coupling; Welfare analysis; Generation adequacy; Agent-based modeling and simulation; POWER; GENERATION; SIMULATION; GERMAN; ADEQUACY; PRICES;
D O I
10.1016/j.enpol.2016.11.011
中图分类号
F [经济];
学科分类号
02 ;
摘要
The realization of an Internal Electricity Market in Europe is currently, on the one hand, progressing, in particular thanks to the wide-spread implementation of market coupling solutions for cross-border congestion management. On the other hand, diverging national market designs pose a threat to the continuation of this process. Given the challenges to electricity market design in a multi-regional context, we analyze how different design aspects, namely cross-border congestion management and capacity mechanisms, affect welfare and generation adequacy in Europe. In doing so, we rely on an agent-based simulation model for electricity wholesale markets which we apply within several numerical, computational case studies for the region of Central Western Europe (2012-2030). Our results confirm the benefits of market coupling in terms of welfare as well as generation adequacy. Furthermore, we find indications that coordinating market designs across regions supports these targets. Therefore, we recommend that European energy policy forms a stable, transparent regulatory framework with cross-border market coupling as an integral component. In this context, energy policy targets should be clearly defined and operationalized, which also needs to consider potential conflicts between them. Finally, electricity market designs need to be coordinated among states to benefit most from a common European market.
引用
收藏
页码:629 / 643
页数:15
相关论文
共 58 条
  • [1] ACER, 2016, ANN REP RES MON INT
  • [2] [Anonymous], 2001, J. Netw. Ind, DOI DOI 10.1023/A:1012701001310
  • [3] [Anonymous], 2005, Principles of Adaptive Filters and Self-Learning Systems
  • [4] Cycles in deregulated electricity markets: Empirical evidence from two decades
    Arango, Santiago
    Larsen, Erik
    [J]. ENERGY POLICY, 2011, 39 (05) : 2457 - 2466
  • [5] Billinton R, 2013, Reliability assessment of electrical power systems using Monte Carlo methods
  • [6] Increasing market interconnection: An analysis of the Italian electricity spot market
    Boffa, Federico
    Pingali, Viswanath
    Vannoni, Davide
    [J]. INTERNATIONAL JOURNAL OF INDUSTRIAL ORGANIZATION, 2010, 28 (03) : 311 - 322
  • [7] Agent-based modeling: Methods and techniques for simulating human systems
    Bonabeau, E
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2002, 99 : 7280 - 7287
  • [8] Bublitz A., 2014, P 11 INT C EUR EN MA, DOI [10.1109/EEM.2014.6861215, DOI 10.1109/EEM.2014.6861215]
  • [9] Agent-Based Simulation of Interconnected Wholesale Electricity Markets: An Application to the German and French Market Area
    Bublitz, Andreas
    Ringler, Philipp
    Genoese, Massimo
    Fichtner, Wolf
    [J]. AGENTS AND ARTIFICIAL INTELLIGENCE, ICAART 2014, 2015, 8946 : 32 - 45
  • [10] Integration and shock transmissions across European electricity forward markets
    Bunn, Derek W.
    Gianfreda, Angelica
    [J]. ENERGY ECONOMICS, 2010, 32 (02) : 278 - 291