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• W2891071325 abstract "This paper develops a tractable formulation for optimal placement and sizing of inverter-based renewable systems in multi-phase distribution networks. The goal of the formulation is to minimize the cost of inverter installation, average power import, and average distributed generation curtailment. Three-phase and single-phase inverter models are presented that preserve the underlying mappings between renewable uncertainty to power injection. The uncertainty of distributed generators (DGs) and loads are characterized by a finite set of scenarios. Linear multi-phase power flow approximations are used in conjunction with scenario reduction techniques to arrive at a tractable two-stage stochastic formulation for optimal DG placement and sizing. First-stage decisions are locations for DG deployment and capacity sizes, and second-stage decisions include DG real power curtailment, reactive power support, as well as feeder voltage profile. The resulting formulation is a mixed-integer second-order cone program and can be solved efficiently either by existing optimization solvers or by relaxing the binary variables to the [0,1] interval. Simulation studies on standard multi-phase IEEE test feeders promise that optimal stochastic planning of DGs reduces costs during validation, compared to a scheme where uncertainty is only represented by its average value." @default.
• W2891071325 created "2018-09-27" @default.
• W2891071325 creator A5022494957 @default.
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• W2891071325 date "2019-03-01" @default.
• W2891071325 modified "2023-10-14" @default.
• W2891071325 title "Placement and Sizing of Inverter-Based Renewable Systems in Multi-Phase Distribution Networks" @default.
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• W2891071325 doi "https://doi.org/10.1109/tpwrs.2018.2871377" @default.
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