Setting Reserve Requirements to Approximate the Efficiency of the Stochastic Dispatch

TL;DR

This paper introduces a novel method to set reserve requirements in sequential electricity markets, aiming to approximate the efficiency of stochastic co-optimization while maintaining compatibility with existing European market structures.

Contribution

It proposes a stochastic bilevel programming approach to determine reserve requirements that improve market efficiency without altering current market design.

Findings

Enhanced reserve setting reduces expected operating costs.

Method improves inter-temporal coordination of energy and reserves.

Results demonstrated on IEEE test cases.

Abstract

This paper deals with the problem of clearing sequential electricity markets under uncertainty. We consider the European approach, where reserves are traded separately from energy to meet exogenous reserve requirements. Recently pro- posed stochastic dispatch models that co-optimize these services provide the most efficient solution in terms of expected operating costs by computing reserve needs endogenously. However, these models are incompatible with existing market designs. This paper proposes a new method to compute reserve requirements that bring the outcome of sequential markets closer to the stochastic energy and reserves co-optimization in terms of cost efficiency. Our method is based on a stochastic bilevel program that implicitly improves the inter-temporal coordination of energy and reserve markets, but remains compatible with the European market design. We use two standard IEEE reliability test cases to illustrate the benefit of intelligently setting operating reserves in single and multiple reserve control zones.