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A balancing market under uncertainty with a rolling horizon for European Market Structure

This paper presents a multi-stage balancing market under uncertainty with a rolling horizon for European Market Structures. The goal is to settle the real-time power imbalances (i.e., discrepancies between consumption and production) and alleviate congestion by adjusting the generation schedules while respecting the network and generators constraints. The power imbalances are predicted over a defined forecast horizon which contains several market-clearing periods. Corresponding to each market-clearing period, a stage is defined; the number of stages is determined by the length of forecast horizon. In each stage, a sequence of adjustment decisions is made by solving a Security Constrained Optimal Power Flow (SC OPF) considering predicted imbalances associated with uncertainty. The first adjustment decision is sent to the producers. The new data, such as generation schedules and loads, is then collected; the imbalance prediction is updated over the time horizon that is shifted one step forward and the next stage market is cleared. Such a multi-stage balancing market is inspired by the idea of merging a receding horizon control and multi-period SC OPF while tackling uncertainty.