Energy storage market value — A Netherlands case study

In this paper, the value of energy storage is addressed using the arbitrage opportunity of the day-ahead electricity market with its daily fluctuations. Thus, taking advantage of the hourly deviations, a linear programming model has been examined as an approach to identify the arbitrage potential. A combined 24-hour and 72-hour charge and discharge strategy for a generic energy storage device is analysed for either weekdays or weekends. The technological aspect was accomplished considering several storage devices. Hence, we have described a storage technology by its performance parameters (power rating, discharge duration, efficiency, and response time), rather than to attempt to assess the prospects of a particular technology. Price forecasting using Artificial Neural Networks has been included in order to amplify the time horizon and deal with more information about the market. Finally, the results highlight the relevance of parameters such as the device energy efficiency for the arbitrage strategy performance.