Uncoordinated charging of a large numbers of EVs can significantly increase the network losses, lower voltage, and overload distribution transformers or lines.
Intelligent scheduling methods will help to avoid cycling of large combustion plants, using expensive fossil fuel peaking plant, match renewable generation to electric vehicle charging and not overload the distribution system causing a reduction in power quality.
Some of the foreseeable threats include abrupt peak load increase, overloading of distribution transformer and lines, increase in line losses, and voltage sags [2, 3, 4, 5].
PowerMatcher [43, 48, 49] has been shown to improve the match between consumption and production by: ① adding value to renewable/distributed generation and demand-side flexibility; ② improving the integration of renewable generation; ③ mitigating congestion (i.e. local network overloading) in distribution networks.
Voltage violations and line overload issues in distribution systems integrated with high levels of renewable energy can be quite severe, if precautions are not taken [4, 5]. .
These chargers can easily lead to the distribution transformer overload and to the need for adjustments in the transformer capacity as well as the underground and over-head cables, which is an extremely expensive consequence.
Given the uncertainties about the loading conditions, several hypotheses are tested, varying the amount of ballast, the degree of overloading and the distribution of weights on board, and allowing the development of a range of plausible loading arrangements.
This paper deals with centralized thermal overload management in active radial distribution systems that host a significant amount of distributed generation (DG).
This paper focuses on centralized thermal overload management in active radial distribution systems which accommodate a significant amount of distributed generation (DG).
There were also concerns that the power station shutdown "might overload parts of the [electricity distribution] network".
