DOI:https://doi.org/10.1007/s40565-018-0417-1 |
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A two-level hierarchical discrete-device control method for power networks with integrated wind farms |
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Net amount: 714 |
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Author:
Fengda XU1, Qinglai GUO1, Hongbin SUN1, Boming ZHANG1, Lin JIA2
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Author Affiliation:
1. Department of Electrical Engineering, Tsinghua University,
Beijing, China
2. North China Branch, State Grid Corporation of China,
Beijing, China
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Foundation: |
This work was supported by the National Science Funds for Excellent Young Scholars (No. 51621065) and the Foundation for Innovative Research Groups of the National Natural Science Foundation of China (No. 51621065). |
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Abstract: |
Power systems depend on discrete devices, such
as shunt capacitors/reactors and on-load tap changers, for
their long-term reliability. In transmission systems that
contain large wind farms, we must take into account the
uncertainties in wind power generation when deciding
when to operate these devices. In this paper, we describe a
method to schedule the operation of these devices over the
course of the following day. These schedules are designed
to minimize wind-power generation curtailment, bus voltage
violations, and dynamic reactive-power deviations,
even under the worst possible conditions. Daily voltagecontrol
decisions are initiated every 15 min using a
dynamic optimization algorithm that predicts the state of
the system over the next 4-hour period. For this, forecasts
updated in real-time are employed, because they are more
precise than forecasts for the day ahead. Day-ahead
schedules are calculated using a two-stage robust mixedinteger
optimization algorithm. The proposed control
strategies were tested on a Chinese power network with
wind power sources; the control performance was also
validated numerically. |
Keywords: |
Automatic voltage control, Model predictive
control, On-load tap changer, Shunt capacitor/reactor,
Two-stage robust optimization, Wind-power integration |
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Online Time:2019/01/28 |
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