This paper introduces a methodology for investigating the behaviour of a distribution network incorporating both load variations and variable micro-wind generation output. The probabilistic methodology is applied to a representative model of the Irish Distribution Network. Application of a selection of commercially available micro-wind turbines to the model is investigated for a range of load and generation scenarios based on a standard load profile and varying mean wind speed. Analysis of the results of the analysis forms the basis for defining the limitations of the methodology but also presents the opportunities for future work
The energy sector is the largest source of greenhouse-gas emissions, and has therefore a crucial rol...
A large amount of wind power generation capacity is expected to be installed in Great Britain by 202...
A method for solving a probabilistic power flow that deals with the uncertainties of (i) wind genera...
This paper introduces a methodology for investigating the behaviour of a distribution network incorp...
This paper defines the current position for micro-generation, with particular reference to the poten...
Due to increasing awareness of global warming and high energy costs, more electrical power is being ...
This thesis aims towards an improved statistical understanding of distribution feeders, an improved ...
Renewable energy sources, especially wind power are considered as an alternative to generate electri...
This paper proposes a method for probabilistic load flow in networks with wind generation, where the...
Access to the transmission network by generators and distributors is essential in the unbundled conf...
The installation of wind power generation in the Netherlands has been increased drastically over yea...
Micro-generation technologies such as photovoltaics and micro-wind power are becoming increasing pop...
In the UK and elsewhere there is considerable debate as to the future form of the electricity distri...
Increasing numbers of very small generators are being connected to electricity distribution systems ...
Voltage unbalance (VU) in residential distribution networks (RDNs) is mainly caused by load unbalanc...
The energy sector is the largest source of greenhouse-gas emissions, and has therefore a crucial rol...
A large amount of wind power generation capacity is expected to be installed in Great Britain by 202...
A method for solving a probabilistic power flow that deals with the uncertainties of (i) wind genera...
This paper introduces a methodology for investigating the behaviour of a distribution network incorp...
This paper defines the current position for micro-generation, with particular reference to the poten...
Due to increasing awareness of global warming and high energy costs, more electrical power is being ...
This thesis aims towards an improved statistical understanding of distribution feeders, an improved ...
Renewable energy sources, especially wind power are considered as an alternative to generate electri...
This paper proposes a method for probabilistic load flow in networks with wind generation, where the...
Access to the transmission network by generators and distributors is essential in the unbundled conf...
The installation of wind power generation in the Netherlands has been increased drastically over yea...
Micro-generation technologies such as photovoltaics and micro-wind power are becoming increasing pop...
In the UK and elsewhere there is considerable debate as to the future form of the electricity distri...
Increasing numbers of very small generators are being connected to electricity distribution systems ...
Voltage unbalance (VU) in residential distribution networks (RDNs) is mainly caused by load unbalanc...
The energy sector is the largest source of greenhouse-gas emissions, and has therefore a crucial rol...
A large amount of wind power generation capacity is expected to be installed in Great Britain by 202...
A method for solving a probabilistic power flow that deals with the uncertainties of (i) wind genera...