Short-Term Line Maintenance Scheduling of Distribution Network With PV Penetration Considering Uncertainties

In this paper, the methodology for short-term line maintenance scheduling in distribution network with PV penetration is proposed, in which the mixed randomness and fuzziness of solar power generation concerning the available cloud amount forecasting, along with other random or fuzzy factors, such a...

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Vydáno v:IEEE access Ročník 6; s. 33621 - 33630
Hlavní autoři: Bao, Zhejing, Gui, Canzhi, Guo, Xiaogang
Médium: Journal Article
Jazyk:angličtina
Vydáno: Piscataway IEEE 01.01.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Chance-constrained programming
Clouds
Constraints
Economic forecasting
Electric power demand
Electricity consumption
Failure rates
Forecasting
fuzzy
Hybrid systems
Irradiance
Maintenance engineering
Maintenance management
maintenance scheduling
Optimization
Penetration
random
Randomness
Reliability
renewable energy
Scheduling
Solar power generation
System effectiveness
Uncertainty
ISSN:2169-3536, 2169-3536
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Shrnutí:In this paper, the methodology for short-term line maintenance scheduling in distribution network with PV penetration is proposed, in which the mixed randomness and fuzziness of solar power generation concerning the available cloud amount forecasting, along with other random or fuzzy factors, such as electricity demand and component historical failure rate, are considered. First, based on the obtained historical data from NASA, the empirical mapping from cloud amount to solar irradiance can be established where the uncertainty is represented by combining randomness and fuzziness. Second, the short-term line maintenance scheduling of distribution network with uncertainties is modeled by using random fuzzy chance-constrained programming aiming at minimizing the pessimistic value in terms of economics and reliability subject to the chance constraints. Finally, a hybrid intelligent algorithm with two-layer optimization is implemented to solve the model. Simulation experiments are carried out on the IEEE 33-Bus and IEEE RBTS 2-Bus systems, and the results demonstrate the effectiveness of the proposed short-term line maintenance scheduling solution for distribution network with the mixed uncertainties of randomness and fuzziness.
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ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2018.2838082