研究目的
To calculate the load demand flexibility that could be activated within the next 24-hours for solving the technical impacts of contingencies in unbalanced low voltage distribution networks with high penetration of intermittent DG sources.
研究成果
The simulation results show the capability of the load shift mechanism to reduce the over-voltages and over-loading’s of the system and even a reduction of the power losses has been achieved. Further research lines may include the consideration of energy storage as well as modelling the temperature-dependant appliances of the customers.
研究不足
The methodology does not consider energy storage (chemical such as batteries or thermal such as hot water) as well as modelling the temperature-dependant appliances of the customers.
1:Experimental Design and Method Selection:
A non-linear optimisation problem is formulated based on an unbalanced optimal power flow to determine the load flexibility. The problem is solved in a sequence fashion, splitting the whole problem into optimisation blocks.
2:Sample Selection and Data Sources:
Real load data with 10-min resolution from smart meters and weather data from several weather stations in the Madrid area provided by AEMET.
3:List of Experimental Equipment and Materials:
Smart meters, PV panels with peak power of 4 kW, and a Secondary substation transformer with a power rating of 800 kVA.
4:Experimental Procedures and Operational Workflow:
The optimisation process is carried out in a rolling-window way with a frequency of 6 hours. The load demand forecast is updated for the new forecasting time-framework considering the new values of demand.
5:Data Analysis Methods:
The non-linear problem is solved using IPOPT solver within the Python environment Pyomo. The forecasting technique used is the ARIMA model.
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