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- W149617967 abstract "Distributed generations (DGs) can provide electricity to the customers at a reduced cost and higher efficiency, if the location, size, and the penetration level are correctly evaluated. To deal with the inherent uncertainties in the aforementioned three parameters, utility-operated DGs and customerowned DGs are considered as deterministic and stochastic facilities, respectively. A case study is conducted on the IEEE 30-bus system. The system is modeled with all detailed parameters using MATLAB. In this study, the proposed method incorporates Monte Carlo simulation due to its capability to handle the deterministic and stochastic problems together. Through an uncertainty analysis, the research shows that having DGs placed close to significant centers of consumption, results in a reduction in the voltage deviation even for small DG sizes which in turn improves the voltage profile and reduces the power losses. Furthermore, for both fixed and random DG locations, the total amount of generation required from the main source generators is reduced, while having a noticeable reduction for the former case. This work also demonstrates that as penetration level increases, the need and capability of the system to absorb the generated DG power increases that implies a reduction in power losses." @default.
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- W149617967 date "2009-01-01" @default.
- W149617967 modified "2023-09-25" @default.
- W149617967 title "An approach to deterministic and stochastic evaluation of the uncertainties in distributed generation systems" @default.
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- W149617967 doi "https://doi.org/10.1049/cp.2009.1098" @default.
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