Abstract
The irregularity and randomness of distributed energy sources’ (DERs) output power characteristic usually brings difficulties for grid analysis. In order to reliably and deterministically evaluate intermittent distributed generation’s active power output, a credible capacity index for active distribution network (ADN) is proposed. According to the definition, it is a certain interval that the stochastic active power output of DERs may fall in with larger probability in all kinds of possible dynamic and time varying operation scenarios. Based on the description and analysis on the time varying scenarios, multiple scenarios considered dynamic power flow method for and are proposed. The method to calculate and evaluate credible capacity based on dynamic power flow (DPF) result is illustrated. A study case of an active distribution network with DERs integrated and containing 32 nodes is selected; multiple operation scenarios with various fractal dimension are established and used. Results of calculated credible capacity based on several groups of scenarios have been analyzed, giving the variance analysis of groups of credible capacity values. A deterministic value with the maximum occurrence probability representing credible capacity is given. Based on the same network case, an application of credible capacity to grid extension planning is given, which contributes to expenditure and cost reduction. The effectiveness and significance of the proposed credible capacity and solution method have been demonstrated and verified.
Highlights
As the best substitution of fossil fuels, a fast growth of renewable energy to supply the global energy demand has been developed worldwide in the past decades
For grid analysis issues with uncertainties, generally, distributed generations are firstly modeled in terms of stochastic variables and adopted in probability power flow method to obtain the system’s probability power flow distribution
A novel dynamic power flow method considering multiple operation scenarios for active distribution network is proposed in this work
Summary
As the best substitution of fossil fuels, a fast growth of renewable energy to supply the global energy demand has been developed worldwide in the past decades. In multiple dynamic operation scenarios with wind power and energy storage integrated, reference [29] proposed an objective function aiming at maximizing equivalent export power and benefit of distribution grid, which obtained an optimal power flow distribution covering multiple time periods. There is little possibility to explore and establish a perfect math model These reported methods are by far still incapable of precisely defining the intrinsic attribute of DG’s intermittency, and solve related problems in operation analysis and grid planning domain. Related research on capacity credit assessment of a hybrid generation system composed of wind farm, energy storage system and photovoltaic system has been given, which analyzed complementary benefits [40] These studies are all based on statistical analysis of wind power’s historic data and feature abstraction.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
