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Conception of energy management systems for residential photovoltaic self-consumption installations

Abstract : This thesis addresses the problem of maximizing the self-consumption of residential photovoltaic power though the optimal control of household appliances.In the first part of the thesis, the optimization problem is restricted to the control of a unique electric water heater, and is formulated as an unconstrained problem. A novel and computationally efficient optimization algorithm is proposed, and is shown to perform better in a deterministic setting than other heuristics. In order to assess the impact of photovoltaic power production uncertainties on the control algorithms performances, the algorithms are evaluated under a large number of scenarios. A novel methodology is presented to generate these scenarios ensuring that each individual scenario presents a realistic intra-day variability, and that the set as a whole represents with proportionality the range of possible production outcomes. Numerical experiments show that at a 30-minute timestep, the impact of a "perfect'' photovoltaic production forecast is negligible compared with the impact of the choice of the control algorithm. In the second part of the thesis, the problem is extended to the optimal control of a diversity appliances located in several households forming a local energy community and sharing the use of a community battery. A mixed integer linear programming formulation of the problem is adopted in order to ease the appliances modeling. The constraint of preserving the private data of the microgrid participants leads to proposing three privacy-preserving communication protocols. These protocols are used to communicate the individual households constraints for the microgrid energy management system to be able to concatenate them into a centralized microgrid optimization problem aiming to minimize the cost of providing energy to the whole community, while preserving privacy.
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Submitted on : Tuesday, April 5, 2022 - 9:27:08 AM
Last modification on : Thursday, April 28, 2022 - 11:08:32 AM
Long-term archiving on: : Wednesday, July 6, 2022 - 6:07:14 PM


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  • HAL Id : tel-03630448, version 1


Loris Amabile. Conception of energy management systems for residential photovoltaic self-consumption installations. Automatic Control Engineering. Université Paris sciences et lettres, 2021. English. ⟨NNT : 2021UPSLM056⟩. ⟨tel-03630448⟩



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