Overprocurement of balancing capacity may increase the welfare in the cross-zonal energy-reserve co-allocation problem

Battle Count: 52

This paper is squarely in the domain of electricity market design and power systems operations. It does not address financial markets, asset pricing, trading strategies, or quantitative finance in any meaningful way. The only tangential connection is the use of market-clearing mechanisms and bid optimization, which share superficial structural similarities with auction theory in finance. The paper is relevant to energy trading desks and TSO operations but not to quantitative trading in the traditional financial sense.

The illustrative example itself is simple and manually verifiable (4 zones, 9 bids, PTDF matrix). However, the general problem of optimal cross-zonal reserve co-allocation with deliverability guarantees under flow-based network constraints is computationally complex, as acknowledged by the authors. Implementing the full co-allocation algorithm from reference [4] (robust optimization with portfolio bidding, non-convex orders, flow-based constraints) would require significant expertise in mathematical optimization and power systems. The overprocurement extension adds further complexity as it requires evaluating all possible reserve activation patterns.

The illustrative example is fully specified with all bid quantities, prices, network topology, PTDF matrix, and line capacities. All tables of results (MCPs, bid acceptances, surpluses, cash flows) are provided. However, no code or computational tool is shared, and the general algorithmic framework is referenced to prior work [4] rather than fully reproduced here. The example is small (4 zones, 9 bids) and manually verifiable.