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Titlebook: Electric Distribution Network Planning; Farhad Shahnia,Ali Arefi,Gerard Ledwich Book 2018 Springer Nature Singapore Pte Ltd. 2018 Future d

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Mathematical Optimization of Unbalanced Networks with Smart Grid Devices,titute a mathematical framework for optimization analysis of the network operation, which makes it possible to model decision-making processes. Different objectives related to technical and/or economic aspects can be pursued within the framework; in addition, the extension to multi-period and multi-
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Multi-agent Based Planning Considering the Behavior of Individual End-Users,nt and the storage agent, including negotiations. This multi-agent system generates time series for all relevant system variables, defining detailed input parameters in the distribution grid planning process. The probabilities of occurrence of loading situations can be derived from the time series.
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Optimal Siting and Sizing of Distributed Generations,DG types for minimizing the total real power loss in electric distribution networks. The proposed analytical expressions are general for directly calculating the optimal sizes of any combination of multi-type DG technologies. The optimal power factors of the various units can be analytically compute
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