Traditional static compensation methods fail to account for the different development paths of performance and operating costs in coal-fired power plants under AGC operations; therefore, there are significant deviations between economic reward and true grid-aid capability. To solve the problem of asymmetric structure and realise a completely equal ancillary Ancillary Service Market Architecture, this paper establishes a new theoretical concept based on high-performing enhanced genetic algorithm to optimise the AGC compensation strategy theoretically. Proposed in this paper is a new multi-dimensional historical operation trajectory synthesis mechanism that constructs an all-around evaluation of the AGC regulation effect through regulation rates, accuracy indexes and latency indicators. Simultaneously, the method builds a strict AGC feasible operation range constraint matrix and integrates it with a continuous dynamic topology correction mechanism to determine the definite quantified latent units’ dispatch capacity deterministically. On this basis, a sophisticated multi-objective optimisation topology model is built to establish that the absolute minimum of aggregate system-level regulation cost should be the sole mathematical target function. In order to solve the non-convex and high-dimensional problem space in mathematics, an improved genetic algorithm has been deployed; Strictly combined with adaptive probabilistic crossover-mutation operators integrated into a deterministic elite-preservation selection scheme to synthesise optimally for each individual’s remuneration distribution topology. Empirical validations systematically show that the introduction of this proposed dynamic optimisation approach leads to a statistical significance in achieving conformity among fiscal compensation allocation with the internal mechanical regulation accuracy; At the same time, it significantly reduces system-operational expenses by eliminating macroscopic deviations and establishes an absolute-parity institutional framework for competition-based electricity auxiliary-service market.
