DOI:https://doi.org/10.1007/s40565-019-0526-5 |
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Adjustable and distributionally robust chance-constrained economic dispatch considering wind power uncertainty |
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Net amount: 1146 |
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Author:
Xin FANG1
, Bri-Mathias HODGE1
, Fangxing LI2,
Ershun DU3
, Chongqing KANG3
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Author Affiliation:
1. National Renewable Energy Laboratory, Golden, CO 80401,
USA
2. Department of Electrical Engineering and Computer Science,
The University of Tennessee, Knoxville, TN 37996, USA
3. State Key Laboratory of Power Systems, Department of
Electrical Engineering, Tsinghua University, Beijing 100084,
China
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Foundation: |
This work was co-authored by Alliance for
Sustainable Energy, LLC, the manager and operator of the National
Renewable Energy Laboratory for the U.S. Department of Energy
(DOE) (No. DE-AC36-08GO28308). The funding was provided by
U.S. DOE Office of Energy Efficiency and Renewable Energy Wind
Energy Technologies Office. The views expressed in the article do not
necessarily represent the views of the DOE or the U.S. Government.
The U.S. Government retains and the publisher, by accepting the
article for publication, acknowledges that the U.S. Government
retains a nonexclusive, paid-up, irrevocable, worldwide license to
publish or reproduce the published form of this work, or allow others
to do so, for U.S. Government purposes. |
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Abstract: |
This paper proposes an adjustable and distributionally robust chance-constrained (ADRCC) optimal
power flow (OPF) model for economic dispatch considering wind power forecasting uncertainty. The proposed
ADRCC-OPF model is distributionally robust because the
uncertainties of the wind power forecasting are represented
only by their first- and second-order moments instead of a
specific distribution assumption. The proposed model is
adjustable because it is formulated as a second-order cone
programming (SOCP) model with an adjustable coefficient.
This coefficient can control the robustness of the chance
constraints, which may be set up for the Gaussian distribution, symmetrically distributional robustness, or
distributionally robust cases considering wind forecasting
uncertainty. The conservativeness of the ADRCC-OPF
model is analyzed and compared with the actual distribution data of wind forecasting error. The system operators
can choose an appropriate adjustable coefficient to tradeoff
between the economics and system security. |
Keywords: |
Economic dispatch, Adjustable and
distributionally robust chance-constrained optimization,
Wind power forecasting, Uncertainty |
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Online Time:2019/05/14 |
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