Abstract: To address the high-dimensional coupled bidding decision-making challenges and internal privacy leakage risks faced by microgrids when participating in the energy-reserve joint market, a day-ahead market bidding strategy is proposed for microgrid based on cost mapping. Firstly, the internal refined operation model of the microgrid is reconstructed as a multi-parameter programming problem with the market bidding volume as the parameter. Through analytical solution, an explicit piecewise linear mapping relationship between the bidding volume and the operation cost is generated. Secondly, a Stackelberg game bidding-clearing two-layer model based on this internal cost domain is constructed. By using the KKT conditions and strong duality principle of the lower-level clearing model, the original problem is efficiently transformed into a solvable single-layer mixed-integer linear programming model. The case study shows that the proposed method can accurately represent the real operation cost of the microgrid with zero deviation, effectively protect sensitive information such as internal equipment parameters and operation status, and has good computational efficiency.

Key words: microgrid, energy-reserve joint market, multi-parameter planning, cost mapping