DOI:https://doi.org/10.1007/s40565-018-0462-9 |
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Interval optimal power flow applied to distribution networks under uncertainty of loads and renewable resources |
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Net amount: 746 |
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Author:
Pengwei CHEN1, Xiangning XIAO1, Xuhui WANG2
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Author Affiliation:
1. North China Electric Power University, Beijing, China
2. Hefei University of Technology, Hefei, China
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Foundation: |
This work was supported by Fundamental Research Funds for the Central Universities (No. 2016XS02), and National Natural Science Foundation of China (No. 61772167). |
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Abstract: |
Optimal power flow (OPF) has been used for
energy dispatching in active distribution networks. To
satisfy constraints fully and achieve strict operational
bounds under the uncertainties from loads and sources, this
paper derives an interval optimal power flow (I-OPF)
method employing affine arithmetic and interval Taylor
expansion. An enhanced I-OPF method based on successive
linear approximation and second-order cone programming
is developed to improve solution accuracy. The
proposed methods are benchmarked against Monte Carlo
simulation (MCS) and stochastic OPF. Tests on a modified
IEEE 33-bus system and a real 113-bus distribution network
validate the effectiveness and applicability of the
proposed methods. |
Keywords: |
Active distribution network, Optimal power
flow, Interval uncertainty, Affine arithmetic, Second-order
cone programming |
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Online Time:2019/01/28 |
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