A Static Voltage Security Region for Centralized Wind Power Integration—Part II: Applications
Tao Ding,
Qinglai Guo,
Rui Bo,
Hongbin Sun,
Boming Zhang and
Tian-en Huang
Additional contact information
Tao Ding: State Key Lab of Power Systems, Department of Electrical Engineering , Tsinghua University, Beijing 100084, China
Qinglai Guo: State Key Lab of Power Systems, Department of Electrical Engineering , Tsinghua University, Beijing 100084, China
Rui Bo: Midwest Independent Transmission System Operator (Midwest ISO), St. Paul, MN 55108, USA
Hongbin Sun: State Key Lab of Power Systems, Department of Electrical Engineering , Tsinghua University, Beijing 100084, China
Boming Zhang: State Key Lab of Power Systems, Department of Electrical Engineering , Tsinghua University, Beijing 100084, China
Tian-en Huang: State Key Lab of Power Systems, Department of Electrical Engineering , Tsinghua University, Beijing 100084, China
Energies, 2014, vol. 7, issue 1, 1-18
Abstract:
In Part I of this work, a static voltage security region was introduced to guarantee the safety of wind farm reactive power outputs under both base conditions and N-1 contingency. In this paper, a mathematical representation of the approximate N-1 security region has further studied to provide better coordination among wind farms and help prevent cascading tripping following a single wind farm trip. Besides, the influence of active power on the security region is studied. The proposed methods are demonstrated for N-1 contingency cases in a nine-bus system. The simulations verify that the N-1 security region is a small subset of the security region under base conditions. They also illustrate the fact that if the system is simply operated below the reactive power limits, without coordination among the wind farms, the static voltage is likely to exceed its limit. A two-step optimal adjustment strategy is introduced to shift insecure operating points into the security region under N-1 contingency. Through extensive numerical studies, the effectiveness of the proposed technique is confirmed.
Keywords: wind power; voltage security region; inner point; near point; optimization; Monte Carlo simulation; N-1 contingency; cascading tripping (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2014
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Citations: View citations in EconPapers (2)
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