Heterogeneous Flexible Loads and Energy Storage Scheduling with Multi-Objective Optimization

To address the challenges of insufficient multi-time-scale complementarity, imbalanced energy storage lifespan evaluation, and difficulties in high-dimensional non-convex optimization during the coordinated dispatch of low-voltage distribution areas, this paper proposes a multi-objective optimal dispatch strategy coordinating heterogeneous flexible loads and energy storage. Specifically, a multi-resource coordinated regulation framework comprising energy storage, electric vehicles (EVs), and inverter air conditioners (IACs) is constructed to deeply exploit the long- and short-term physical response potential of heterogeneous resources. Furthermore, a lightweight non-linear energy storage lifespan evaluation model compatible with long-horizon day-ahead optimization is proposed to guide the system to circumvent high-frequency micro-cycles, thereby reducing equipment degradation costs without altering physical configurations. Finally, a multi-objective optimization and posteriori objective fuzzy algorithm is proposed to tackle operational economy, grid stability, and energy storage lifespan, accurately restoring the genuine Pareto non-dominated boundaries. Experimental results demonstrate that the proposed strategy consistently outputs an optimal compromise scheme for the energy management system (EMS) that reconciles the core interests of multiple stakeholders.