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|Title:||Automated energy management in distributed electricity systems: An EEPOS approach|
|Authors:||PURVINS ARTURS; L'ABBATE ANGELO|
|Citation:||INTERNATIONAL JOURNAL OF GREEN ENERGY vol. 14 no. 12 p. 1034–1047|
|Publisher:||TAYLOR & FRANCIS INC|
|Type:||Articles in periodicals and books|
|Abstract:||The increasing capacity of distributed electrical generators brings new challenges in maintaining a high security and quality of electricity supply. New techniques are required for grid support and power balance. The highest potential for these techniques is to be found on the part of the electricity distribution grid. This article addresses this issue and presents the EEPOS project’s approach to automated management of flexible electrical loads in neighbourhoods. The management goals are (i) maximum utilisation of distributed generation in the local grid, (ii) peak load shaving/congestion management, and (iii) reduction of electricity distribution losses. Contribution to the power balance is considered by applying two-tariff pricing for electricity. The presented approach to energy management is tested in a hypothetical sensitivity analysis of a distribution feeder with ten households and ten photovoltaic (PV) plants with an average daily consumption of electricity of 4.54 kWh per household and a peak PV panel output of 0.38 kW per plant. Energy management shows efficient performance at relatively low capacities of flexible load. At a flexible load capacity of 2.5% (of the average daily electricity consumption), PV generation surplus is compensated by 34%-100% depending on solar irradiance. Peak load is reduced by 30% on average. The article also presents the load shifting effect on electricity distribution losses and electricity costs for the grid user.|
|JRC Directorate:||Energy, Transport and Climate|
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