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- W4387006036 abstract "Development of new framework and solution algorithms for the alternating current optimal power flow (ACOPF) based distribution network (DN) energy management is essential to better the current practices in optimal operation of renewable penetrated DNs. This becomes further laborious for unbalanced DNs due to its highly non-convex power flow model. This article develops a multi-objective unbalanced DN energy management problem as a mixed integer non-convex three phase ACOPF framework. Additionally, a new iterative MILP algorithm is proposed to solve the problem with less computation complexity and time. Unlike the previous methods, the proposed algorithm initializes the variables by their median values and handles the ACOPF infeasibilities by adding tangential cutting plane constraints and penalty variable minimization as objective. Case study validation on IEEE 123 bus test system shows that the proposed technique outperforms the existing state of the arts and also possesses ACOPF feasible optimal decisions." @default.
- W4387006036 created "2023-09-26" @default.
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- W4387006036 date "2023-07-16" @default.
- W4387006036 modified "2023-09-26" @default.
- W4387006036 title "A New Iterative Mixed Integer Linear Programming Algorithm for Energy Management in Active Unbalanced Distribution Networks" @default.
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- W4387006036 doi "https://doi.org/10.1109/pesgm52003.2023.10253303" @default.
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