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WIREs Energy Environ.
Impact Factor: 3.297

New electricity distribution network planning approaches for integrating renewable

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The electricity distribution business is experiencing a tremendous and challenging transformation. The use of renewable energy sources is moving generation from the top to the bottom of power systems, where traditionally only loads existed. Active demand, distribution energy‐storage devices, and electric vehicles are going to change even more drastically the way the distribution system will be operated. Finally, several stakeholders will share the responsibility for system operation while they often pursue opposite objectives. In contrast to conventional approaches, modern distribution planning algorithms should emulate the new environment to produce expansion and strategic plans for guiding the evolution of system in times of financial restrictions. Probabilistic methods are necessary to capture the intrinsically stochastic behavior of renewable generation, whereas the multiobjective programming is recognized to be the most effective way for planning, transparently and objectively, the system evolution, taking into account the multiple needs of different stakeholders. Finally, the integration of smart grid operation within planning algorithms is the key point for a proper distribution planning that allows integrating renewable resources and minimizing the cost for new electrical infrastructures. This article is categorized under: Energy Infrastructure > Economics and Policy Energy Systems Economics > Economics and Policy Energy Systems Economics > Systems and Infrastructure Energy Policy and Planning > Systems and Infrastructure
Graphical representation of modern concepts in smart distribution, with the pervasive role of bidirectional digital communication systems that opens new perspectives to the distribution planning and development.
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Financial exchanges among distribution system stakeholders.
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Example of MV distribution network referred to an existing industrial area (pure open loop structure of underground cables).
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General flow chart for the technical validation of a network configuration that can be applied to any optimization algorithm for distribution planning with active operation in place. Active network management (ANM) is the block that simulates the operation of the network.
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Comparison of different approaches in the distribution network design calculation. Case 1: uncertain variables are disregarded. Case 2: uncertain variables are considered certain with their expected values. Case 3: uncertainties are treated with a probabilistic approach.
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Probabilistic network design, based on the concept of acceptable risk. Hypothesis: all nodal currents are represented with Gaussian pdf. Consequently, also the branch current, after probabilistic load flow calculations, presents the same distribution (ITL—thermal limit of the branch conductor).
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Load and generation modeling suitable for active distribution network planning with high shares of RES.
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Energy Infrastructure > Economics and Policy
Energy Systems Economics > Economics and Policy
Energy Systems Economics > Systems and Infrastructure
Energy Policy and Planning > Systems and Infrastructure

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