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</div> <div class="control"> <button class="button is-small is-link">Go</button> </div> </div> </form> </div> </div> <ol class="breathe-horizontal" start="1"> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2301.00564">arXiv:2301.00564</a> <span> [<a href="https://arxiv.org/pdf/2301.00564">pdf</a>, <a href="https://arxiv.org/ps/2301.00564">ps</a>, <a href="https://arxiv.org/format/2301.00564">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Systems and Control">eess.SY</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.35833/MPCE.2022.000452">10.35833/MPCE.2022.000452 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> Estimating Risk-Aware Flexibility Areas for EV Charging Pools via Stochastic AC-OPF </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/eess?searchtype=author&query=Giraldo%2C+J+S">Juan S. Giraldo</a>, <a href="/search/eess?searchtype=author&query=Arias%2C+N+B">Nataly Banol Arias</a>, <a href="/search/eess?searchtype=author&query=Vergara%2C+P+P">Pedro P. Vergara</a>, <a href="/search/eess?searchtype=author&query=Vlasiou%2C+M">Maria Vlasiou</a>, <a href="/search/eess?searchtype=author&query=Hoogsteen%2C+G">Gerwin Hoogsteen</a>, <a href="/search/eess?searchtype=author&query=Hurink%2C+J+L">Johann L. Hurink</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2301.00564v1-abstract-short" style="display: inline;"> This paper introduces a stochastic AC-OPF (SOPF) for the flexibility management of electric vehicle (EV) charging pools in distribution networks under uncertainty. The SOPF considers discrete utility functions from charging pools as a compensation mechanism for eventual energy not served to their charging tasks. An application of the proposed SOPF is described where a distribution system operator… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2301.00564v1-abstract-full').style.display = 'inline'; document.getElementById('2301.00564v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2301.00564v1-abstract-full" style="display: none;"> This paper introduces a stochastic AC-OPF (SOPF) for the flexibility management of electric vehicle (EV) charging pools in distribution networks under uncertainty. The SOPF considers discrete utility functions from charging pools as a compensation mechanism for eventual energy not served to their charging tasks. An application of the proposed SOPF is described where a distribution system operator (DSO) requires flexibility to each charging pool in a day-ahead time frame, minimizing the cost for flexibility while guaranteeing technical limits. Flexibility areas are defined for each charging pool and calculated as a function of a risk parameter involving the solution's uncertainty. Results show that all players can benefit from this approach, i.e., the DSO obtains a risk-aware solution, while charging pools/tasks perceive a reduction in the total energy payment due to flexibility services. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2301.00564v1-abstract-full').style.display = 'none'; document.getElementById('2301.00564v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 2 January, 2023; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> January 2023. </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2205.15737">arXiv:2205.15737</a> <span> [<a href="https://arxiv.org/pdf/2205.15737">pdf</a>, <a href="https://arxiv.org/ps/2205.15737">ps</a>, <a href="https://arxiv.org/format/2205.15737">other</a>] </span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Systems and Control">eess.SY</span> </div> <div class="is-inline-block" style="margin-left: 0.5rem"> <div class="tags has-addons"> <span class="tag is-dark is-size-7">doi</span> <span class="tag is-light is-size-7"><a class="" href="https://doi.org/10.1109/ISGT-Europe54678.2022.9960542">10.1109/ISGT-Europe54678.2022.9960542 <i class="fa fa-external-link" aria-hidden="true"></i></a></span> </div> </div> </div> <p class="title is-5 mathjax"> A Compensation Mechanism for EV Flexibility Services using Discrete Utility Functions </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/eess?searchtype=author&query=Giraldo%2C+J+S">Juan S. Giraldo</a>, <a href="/search/eess?searchtype=author&query=Arias%2C+N+B">Nataly Banol Arias</a>, <a href="/search/eess?searchtype=author&query=Duque%2C+E+M+S">Edgar Mauricio Salazar Duque</a>, <a href="/search/eess?searchtype=author&query=Hoogsteen%2C+G">Gerwin Hoogsteen</a>, <a href="/search/eess?searchtype=author&query=Hurink%2C+J+L">Johann L. Hurink</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2205.15737v1-abstract-short" style="display: inline;"> Compensation mechanisms are used to counterbalance the discomfort suffered by users due to quality service issues. Such mechanisms are currently used for different purposes in the electrical power and energy sector, e.g., power quality and reliability. This paper proposes a compensation mechanism using EV flexibility management of a set of charging sessions managed by a charging point operator (CP… <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2205.15737v1-abstract-full').style.display = 'inline'; document.getElementById('2205.15737v1-abstract-short').style.display = 'none';">▽ More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2205.15737v1-abstract-full" style="display: none;"> Compensation mechanisms are used to counterbalance the discomfort suffered by users due to quality service issues. Such mechanisms are currently used for different purposes in the electrical power and energy sector, e.g., power quality and reliability. This paper proposes a compensation mechanism using EV flexibility management of a set of charging sessions managed by a charging point operator (CPO). Users' preferences and bilateral agreements with the CPO are modelled via discrete utility functions for the energy not served. A mathematical proof of the proposed compensation mechanism is given and applied to a test scenario using historical data from an office building with a parking lot in the Netherlands. Synthetic data for 400 charging sessions was generated using multivariate elliptical copulas to capture the complex dependency structures in EV charging data. Numerical results validate the usefulness of the proposed compensation mechanism as an attractive measure both for the CPO and the users in case of energy not served. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2205.15737v1-abstract-full').style.display = 'none'; document.getElementById('2205.15737v1-abstract-short').style.display = 'inline';">△ Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 31 May, 2022; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> May 2022. </p> </li> </ol> <div class="is-hidden-tablet">  <span class="help" style="display: inline-block;"><a href="https://github.com/arXiv/arxiv-search/releases">Search v0.5.6 released 2020-02-24</a>  </span> </div> </div> </main> <footer> <div class="columns is-desktop" role="navigation" aria-label="Secondary">  <div class="column"> <div class="columns"> <div class="column"> <ul 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