  Recently, chance-constrained stochastic electricity market designs have been
proposed to address the shortcomings of scenario-based stochastic market
designs. In particular, the use of chance-constrained market-clearing avoids
trading off in-expectation and per-scenario characteristics and yields unique
energy and reserves prices. However, current formulations rely on symmetric
control policies based on the aggregated system imbalance, which restricts
balancing reserve providers in their energy and reserve commitments. This paper
extends existing chance-constrained market-clearing formulations by leveraging
node-to-node and asymmetric balancing reserve policies and deriving the
resulting energy and reserve prices. The proposed node-to-node policy allows
for relating the remuneration of balancing reserve providers and payment of
uncertain resources using a marginal cost-based approach. Further, we introduce
asymmetric balancing reserve policies into the chance-constrained electricity
market design and show how this additional degree of freedom affects market
outcomes.
