Published February 2021 | Version v1
Journal article

On the long-term efficiency of market splitting in Germany

  • 1. Karlsruhe Institute of Technology, Chair of Energy Economics, Hertzstraße 16, 76187 Karlsruhe (Germany)
  • 2. Technische Universität Dresden, Chair of Energy Economics, Münchner Platz 3, 01069 Dresden (Germany)
  • 3. Technical University of Denmark, Energy System Analysis Section, Akademivej Building 358, 2800 Kgs. Lyngby (Denmark)

Description

Highlights: • Multi-period simulation of German market splitting under imperfect information. • Market splitting strongly affects day-ahead prices, expansion plans, grid congestion. • Optimal zonal configuration for 2020 may become outdated after 2025. • Policymakers and regulators should regularly re-assess bidding zone configurations. In Europe, the ongoing renewable expansion and delays in the planned grid extension have intensified the discussion about an adequate electricity market design. Against this background, we jointly apply an agent-based electricity market model and an optimal power flow model to investigate the long-term impacts of splitting the German market area into two price zones. Our approach allows capturing long-term investment and short-term market behavior under imperfect information. We find strong impacts of a German market splitting on electricity prices, expansion planning of generators and required congestion management. While the congestion volumes decrease significantly under a market split in the short term, the optimal zonal configuration for 2020 becomes outdated over time due to dynamic effects like grid extension, renewable expansion and new power plant investments. Policymakers and regulators should therefore regularly re-assess bidding zone configurations. Yet, this stands in contrast to the major objective of price zones to create stable locational investment incentives.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.enpol.2020.111833

Additional details

Identifiers

DOI
10.1016/j.enpol.2020.111833;
PII
S0301421520305504;

Publishing Information

Journal Title
Energy Policy
Journal Volume
149
Journal Page Range
vp.
ISSN
0301-4215
CODEN
ENPYAC

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54023901
Subject category
S29: ENERGY PLANNING, POLICY AND ECONOMY;
Descriptors DEI
COMPUTERIZED SIMULATION; DESIGN; FINANCIAL INCENTIVES; FLOW MODELS; INVESTMENT; MARKET; PRICES
Descriptors DEC
MATHEMATICAL MODELS; SIMULATION

Optional Information

Copyright
Copyright (c) 2020 The Authors. Published by Elsevier Ltd.