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Ανακοινώσεις Εργαστηρίου

2013-04-25
Κατοικίες χαμηλού άνθρακα
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Power Systems Lab Commercial Software

 

The Power Systems Lab has already developed five commercial integrated software packages for the study of the Greek electricity market on a short-term or mid-/long-term basis, namely:


     Short-Term Electric Load Forecasting Software using Neural Networks, which provides hourly load forecasts for up to 7 days in the future.   The inputs of the forecast model are historical load and weather data, as well as weather forecast data.   The model output is next day’s load curve forecast (comprising 24 hourly load forecasts).  By iterative application of the model, up to 7-day-ahead load forecasts are obtained.

     Day-Ahead Energy Scheduling Software, which is used for the solution of the day-ahead scheduling problem of the Greek wholesale electricity market. The objective of the optimization is the maximization of the total social welfare along with the satisfaction of the system-wide energy demand and reserves requirements for the next 24 hours. The optimization algorithm takes into consideration the detailed operational constraints of the units, the participants' energy and reserves offers and the system stability.

     Short-term Hydrothermal Scheduling Software, which is used for the scheduling of the thermal and hydro resources of a power producer for the next day up to the next week.

     Mid-Term Energy Scheduling Software, which simulates the wholesale joint energy and ancillary services market for each day of a whole year and provides results concerning market clearing prices, CO2 emissions, production costs as well as quantities of all commodities (energy, primary reserve, secondary range, tertiary reserve) on an hourly basis. The optimization horizon may vary from one month to 25 years.

     Data Collection Software which automatically downloads and stores data (prices, volumes, schedules, Auction data) from various electricity markets across Europe into a single Database. Additionally, reports on these data are created, facilitating the analysis and comparisons among data from different electricity markets.