A Mixed integer linear programming‐based distributed energy management for networked microgrids considering network operational objectives and constraints

Mixed integer linear programming (MILP)–based distributed energy management for networked microgrids embedded modern distribution systems is proposed. Considering the diverse ownership of microgrids, resources (DERs) that interface directly with utilities and responsive loads, an alternating direction method multipliers–based framework was formulated scheduling by adjusting nodal price signals iteratively. In addition, to make optimization problems resolvable through more accessible popular MILP solvers, different linearisation techniques were employed transform nonlinear terms into or mixed formats. The proposed MILP-based preserves all participants' autonomy (e.g., DERs loads), while incentivising them actively participate in system operation signals. validated results numerical simulation using a consisting multiple utilities, as well loads.