Optimized scheduling of integrated energy systems considering waste-to-power plants and advanced adiabatic air compression energy storage machines.

To achieve carbon peaking and carbon neutrality goals, improve energy utilization efficiency, and accelerate the decarbonization of energy structure, this paper proposes a model that integrates Waste Incineration Power Plant (WIP) and Advanced Adiabatic Compressed Air Energy Storage (AA-CAES) to reduce carbon emissions and enhance system economics. First, based on the coupled WIP and Power-to-Gas (P2G) model, a waste heat recovery unit is introduced to recover exhaust heat and reduce purchase heat cost. Second, Power-to-Ammonia (P2A) technology is integrated with coal-fired generating units to enable dynamic ammonia-coal co-firing, further reducing carbon emissions and enhancing renewable energy utilization. Third, AA-CAES is incorporated to expand heat supply channels through compression heat storage and release, while absorbing heat during expansion power generation, thus achieving cross-temporal heat utilization and establishing a coordinated power and heat supply model between energy storage equipment and WIP. Finally, an improved Particle Swarm Optimization algorithm with dynamically adjusted inertia weights and learning factors, combined with a local exchange strategy, is employed for optimization. Case study results demonstrate that the proposed improved algorithm achieves lower total cost, and the coordinated operation of AA-CAES with WIP reduces the total system cost by 20.03%.