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 • Optimal zonal configuration for 2020 may become outdated after 2025.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volumes decrease significantly under a market split in the short term, the optimal zonal configuration for 2020 becomes outdated over time due to dynamic effects like grid extension, renewable expansion and new power plant investments.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.2020.111833Additional 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.