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- W2890889929 abstract "The increasing uptake of residential batteries has led to suggestions that the prevalence of batteries on LV networks will serendipitously mitigate the technical problems induced by PV installations. However, in general, the effects of PV-battery systems on LV networks have not been well studied. Given this background, in this paper, we test the assertion that the uncoordinated operation of batteries improves network performance. In order to carry out this assessment, we develop a methodology for incorporating home energy management (HEM) operational decisions within a Monte Carlo (MC) power flow analysis comprising three parts. First, due to the unavailability of large number of load and PV traces required for MC analysis, we used a maximum a-posteriori Dirichlet process to generate statistically representative synthetic profiles. Second, a policy function approximation (PFA) that emulates the outputs of the HEM solver is implemented to provide battery scheduling policies for a pool of customers, making simulation of optimization-based HEM feasible within MC studies. Third, the resulting net loads are used in a MC power flow time series study. The efficacy of our method is shown on three typical LV feeders. Our assessment finds that uncoordinated PV-battery systems have little beneficial impact on LV networks." @default.
- W2890889929 created "2018-09-27" @default.
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- W2890889929 date "2018-09-20" @default.
- W2890889929 modified "2023-09-27" @default.
- W2890889929 title "Probabilistic Assessment of PV-Battery System Impacts on LV Distribution Networks." @default.
- W2890889929 hasPublicationYear "2018" @default.
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