The penetration of unconventional Renewable Energy Sources (RES) into the traditional highly-carbonized energy infrastructure has skyrocketed in the last decades and is predicted to grow in the years to come. The main challenge for RES full integration in our system is the degree of uncertainty in supply these sources are bound to, due to the uncontrollable nature of the resources these technologies rely upon. Despite the inconveniences of this uncertainty, the benefits of decarbonizing our power system are obvious and to accomplish it our systems will be in need of a new resource: Flexibility. One of the main sources of flexibility will come from storage, and this is the reason why storage is also steadily increasing its presence in the power grid. Yet, the storage resource is not a cheap one. Ergo, its utilization must be optimal. In this regard, our BATTery POWER investment decision tool, a.k.a. BattPower, provides meaningful insight for planners and investors on the optimal locations, sizes, and interactions of batteries in a power system. This software tool was developed by Andres A. Seijas in his master thesis for the  European Wind Energy Master program (EWEM) and as part of the INVADE European Commission Project. BattPower considers among other features:  dynamic wholesale electricity prices, linearized power flow equations, battery specifications, battery prices, voltage, and thermal constraints and can simulate any given topology. BattPower's output is effectively a power flow solution that includes the optimal locations and/or sizes to accomplish a given goal in the system, i.e, maximizing revenues from RES utilization. 

With BattPower the question how location and size of installed battery are affected when there are changes in RES, battery costs and lifetime can be answered. The model is implemented as an MILP with constraints regarding energy balance, grid connections, charging stages and more. Different scenarios can be investigated by changing input parameters for batteries, the structure of the grid or the time varying data.

Therefore, muplitple scenarios can be run. In the following two of the many cases with results are explained.

In another with the objective to compare economial and energy results when change costs and lifetime the following result is calculated. Thereby, the battery costs betweet 150$ and 275$ and the RES part at 15% with the assumed battery life of 6, 8 and 10 years.
Result TODO.

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BattPower model is open access and available for anyone interesting in analysing optimal locations, sizes, and interactions of batteries in a power system. The current version of BattPower is can be send to you via e-mail. We also provide a documentation guide that details how to install the model and different specifications on its usage. BattPower is licensed under the MIT License (see below). Availability of model and data sets should improve understandability of results and analyses published elsewhere. We are not available for user support. However, if you find omissions or errors concerning the website, documentation, model code or data files we are grateful if you can send an email to pedro.crespodelgranado@ntnu.no

License

This work is licensed under the MIT License (MIT). Copyright (c) 2019 Pedro Crespo del Granado (NTNU).  Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. The software is provided "as is", without warranty of any kind, express or implied, including but not limited to the warranties of merchantability, fitness for a particular purpose and noninfringement. in no event shall the authors or copyright holders be liable for any claim, damages or other liability, whether in an action of contract, tort or otherwise, arising from, out of or in connection with the software or the use or other dealings in the software.

Contact

Pedro Crespo del Granado Senior Researcher, NTNU EMail: pedro@ntnu.no Phone:  73558976