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Optimization of prosumers flexibility in electricity markets

Abstract : This thesis presents an optimization framework under uncertainty for the case in which an aggregator manages residential storage devices and renewable energy as sources of flexibility, participating directly in the day-ahead energy market and offering services to minimize operational costs. Residential flexibility assets are composed by batteries, electric water heaters and PV panels, which are optimally managed and controlled by an aggregator. The optimization model also considers battery’s cycling aging cost which allows capturing the non-linear relation between depth of discharge and total life cycling. The following sources of uncertainty are considered: electrical and thermal demand, PV production and energy prices. These uncertainties are included in the mathematical model by means of robust optimization theory and a methodology based on Pareto-optimality is proposed to detect the solutions with the best trade-off between cost and risk. In addition, this thesis presents a local flexibility management strategy, which is based on two products: 1) flexibility bids into a local market; and 2) local constraint support for the Distribution System Operator (DSO) in the form of maximum allowed net power and net ramping rate. An adjustable robust optimization model is proposed for coordinated management of resources and allows to demonstrate that the strategic bidding framework is robust enough to enable coordinated participation in three different marketplaces: energy, local flexibility and bilateral trading with the DSO.
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Submitted on : Wednesday, May 27, 2020 - 9:29:08 AM
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  • HAL Id : tel-02631942, version 1


Carlos Adrian Correa Florez. Optimization of prosumers flexibility in electricity markets. Electric power. Université Paris sciences et lettres, 2019. English. ⟨NNT : 2019PSLEM011⟩. ⟨tel-02631942⟩



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