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Multi objective transmission network expansion planning considering wind power uncertainty and scenario reduction
Author(s) -
Zheyong Piao,
MingYue Chen,
Shouqiang Li,
Haiyan Li
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1639/1/012048
Subject(s) - computer science , reliability (semiconductor) , wind power , grid , reliability engineering , reduction (mathematics) , grid connection , transmission (telecommunications) , transmission line , power (physics) , mathematical optimization , engineering , electrical engineering , telecommunications , physics , geometry , mathematics , quantum mechanics
Under the background of large-scale new energy grid connection, the selection of grid connection point affects the grid structure to be expanded. The intermittence of wind power and the correlation with load also affect the voltage and line safety of each node in the grid. In order to accurately describe the uncertainty factors such as wind power output, multi scenario stochastic simulation technology and reduction method are used to establish multi scenario to accurately describe multi-point wind power and load uncertainty; At the same time, a multi-objective transmission network expansion planning model considering the cost of investment, operation and reliability is established. The effectiveness of the model is verified by IEEE 30 bus simulation. It shows that the accuracy and rationality of transmission network expansion planning can be improved by scenario reduction.

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