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Optimal Energy Storage System Management in Telecommunications Networks under Energy Market Incentives

Abstract : The use of batteries as backup in case of power outages is common in telecommunications networks, since they provide critical services and need to keep their services always online. These batteries are used in conjunction with antennas and other equipment, and strict safety usage rules must be considered in order to guarantee that they are always available in case of a power outage. Besides, the telecommunications operator could use these batteries in order to participate in the electricity market provided that the grid is reliable enough, as long as the safety usage rules are respected. Indeed, since the energy price varies over time, batteries can be used to avoid buying energy when this price is high, and recharged when the energy price is low, a behavior that will be denoted as a peak-shaving strategy. A second profitable way for a company to use its batteries is by performing load curtailments. Indeed, when the power demand of a country is greater than the production, the Transmission System Operator must take steps in order to stabilize the grid such as ask power plants to produce more energy. Another way is to ask energy-intensive consumers to reduce their consumption during a given time period (in which case they are said to perform a load curtailment), by offering them a reward in exchange. In this thesis, we consider the problem of optimizing the total energy costs using batteries installed for backup in order to participate in the energy market by performing peak-shaving and load curtailments, with the help of a proper batteries management. Our goal is to reduce the total energy operational expenses for the company, and maximize the rewards received by performing load curtailments. A study of the electricity market architecture in France is conducted to understand the demand, flexibility mechanisms and how the operational constraints in the use of batteries of a telecommunications operator interact with the energy market. We identified different challenges that were investigated individually to better understand the characteristics of the underlying optimization problem and thus to develop more efficient solving methods. For each one, mixed-integer linear programs and heuristics are then proposed to solve the related problem. Once we investigated and understood the individual challenges, we proposed mixed-integer linear programs and heuristics for the main problem of this thesis, which we prove to be NP-Hard, incorporating market energy prices and the availability of batteries. Finally, simulations based on realistic data from the French telecommunications operator Orange show the relevance of the models and heuristic proposed: these prove to be computationally efficient in solving large scale instances, resulting in significant savings and revenue through the optimized multi-battery energy storage management policies.
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Submitted on : Tuesday, May 24, 2022 - 11:10:14 AM
Last modification on : Saturday, June 25, 2022 - 3:32:50 AM


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  • HAL Id : tel-03676705, version 1



Isaias Faria Silva. Optimal Energy Storage System Management in Telecommunications Networks under Energy Market Incentives. Other [cs.OH]. HESAM Université, 2021. English. ⟨NNT : 2021HESAC027⟩. ⟨tel-03676705⟩



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