Abstract
Electricity prices are the key instrument for coordinating electricity markets. For long-term market analyses, price determination based on fundamental unit commitment simulations is required. Within the European wholesale market, electricity prices result from a market clearing, which finds a welfare-optimal price–quantity tuple considering a coupling of multiple market areas with limited transmission capacity. With increasing exchange capacities in Europe, the precise modeling of the market coupling is required. Many market simulation models use multi-stage approaches with a separation of market coupling and price determination. In this paper, we analyze a new single-stage approach that combines both steps and theoretically and empirically demonstrate its precision by a backtest. For this purpose, we compare a simulated versus a historical electricity price distribution. Moreover, we explain the necessary adjustments for future regulatory developments of the European electricity market regarding flow-based market coupling and propose a concept for the application of future regulatory developments. We demonstrate further developments using a future scenario.
Highlights
The prediction of electricity spot prices is essential for electricity market participants as prices have a crucial impact on operational and investment decisions
We show the impact of flow-based market coupling (FBMC) and counterintuitive flows and demonstrate which adjustments are necessary within the market simulation approach for a precise price determination
Since the FBMC was not applied in 2014, the market is coupled via net transfer capacity (NTC)
Summary
The prediction of electricity spot prices is essential for electricity market participants as prices have a crucial impact on operational and investment decisions. These models can be part of scenario expansion planning models as in [4] or used in market operation models. These operation models are often applied to future scenarios to evaluate concrete expansion measures concerning generation units or grid elements. Such models enable the analysis of the integration of new market participants, e.g., virtual power plants or assessing political decisions regarding regulatory measures
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