Abstract
The renewable distributed generation (RDG) has gained booming development in the past decade, thus its capability to displace conventional generation has become an urgent issue to be studied for future power system planning. In this paper, the capacity credit (CC) of RDG is investigated given an active distribution system (ADS) context, wherein the impact of demand response (DR) is highlighted. To achieve this, the CC index is first specified to cater for different operating modes of ADS. On this basis, a generalized possibilistic-probabilistic model is proposed for DR characterization. The CC is calculated using the sequential Monte-Carlo simulation (SMCS) method, embedded with an adaptation strategy developed to improve the computation efficiency. Numerical results on a real multi-voltage distribution network show that the CC of RDG varies with the energy mix in ADS and the presence of DR could substantially improve the CC of RDG.
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