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Decomposition Strategy for Districts as Renewable Energy Hubs

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Distributed rooftop photovoltaics (PV) is one of the pillars of the energy transition yet their widespread integration strains grids, leading to over-voltage, reverse power flow, and infrastructure strain. Furthermore, increased PV self-consumption reduces ...

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Maximizing solar energy production in Switzerland is key to meet energy transition goals. Understanding in detail the current situation, and the potential for expansion is important to develop effective strategies. With this study, we want to contribute to ...

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Mitigation of Voltage and Frequency Excursions in Low-Inertia Microgrids

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Power systems proliferated by distributed generation sources are becoming increasingly prone to frequency and voltage disturbances. These problems are exacerbated in microgrids since they have fewer intrinsic disturbance-rejecting measures and features. To ...

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This paper analyzes the findings obtained when applying a multi-criteria performance-based method for sizing a BIPV installation considering different weather files, representing historical data (TMY; typical meteorological year) and prospective data (thre ...

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Although inevitable, the process of transforming urban areas into sustainable living environmentspresents many challenges. The decentralization of the energy system, the interconnection ofmultiple energy carriers, and the need to account for conflicting in ...

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Coordinated day-ahead dispatch of multiple power distribution grids hosting stochastic resources: An ADMM-based framework

Mario Paolone, Rahul Kumar Gupta, Sherif Alaa Salaheldin Fahmy

This work presents an optimization framework to aggregate the power and energy flexibilities in an interconnected power distribution systems. The aggregation framework is used to compute the day-ahead dispatch plans of multiple and interconnected distribut ...

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A Benders decomposition for maximum simulated likelihood estimation of advanced discrete choice models

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In this paper, we formulate a mixed integer linear program (MILP) for the simulated maximum likelihood estimation (MLSE) problem and devise a Benders decomposition approach to speed up the solution process. This framework can be applied to any advanced dis ...

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A Benders decomposition for maximum simulated likelihood estimation of advanced discrete choice models

Michel Bierlaire, Claudia Bongiovanni

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A Benders decomposition for maximum simulated likelihood estimation of advanced discrete choice models

Michel Bierlaire, Claudia Bongiovanni

2022